Upload
tinbergen-institute
View
212
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Tinbergen Institute Magazine highlights ongoing research at Tinbergen Institute for policymakers and scientists.
Citation preview
magazine
Fall 2003
tinbergen institute8
Tinbergen Magazine is published
by Tinbergen Institute, the
Institute for economic research of
Erasmus Universiteit Rotterdam,
Universteit van Amsterdam and
Vrije Universiteit Amsterdam.
Practical auctioneering
Enough work for motivated economists
An interview with Robert Dur
Weak instruments and empirical economics
Practical auctioneering
Enough work for motivated economists
An interview with Robert Dur
Weak instruments and empirical economics
In depth
References
Jury
In short
2
www.tinbergen.nl
In this issue
In depth
Practical Auctioneering
Jacob K. Goeree & Theo Offerman
“Enough work for motivated economists”
An interview with Robert Dur
Robert Mosch
Weak instruments and empirical economics
Frank Kleibergen
Jury report, Tinbergen Prize 2003
In short
Papers in Journals
Discussion papers
Theses
References
Theses, Papers in Journals and books published by TI fellows
and discussion papers that have appeared in the last half year
3
11
14
15
15
18
magazine
Fall 2003
tinbergen institute8
Tinbergen Magazine is published
by Tinbergen Institute, the
Institute for economic research of
Erasmus Universiteit Rotterdam,
Universteit van Amsterdam and
Vrije Universiteit Amsterdam.
Practical auctioneering
Enough work for motivated economists
An interview with Robert Dur
Weak instruments and empirical economics
Practical auctioneering
Enough work for motivated economists
An interview with Robert Dur
Weak instruments and empirical economics
Highlighting ongoingresearch at TinbergenInstitute for policymakersand scientists.
8
17
Tinbergen Prize 2003
This issue of Tinbergen Magazine features articles written by the winners of
the Tinbergen Prize 2003, Jacob Goeree and Frank Kleibergen. Jacob Goeree’s
piece, “Practical auctioneering” (on page 3), is co-authored with Theo Offerman.
“Weak instruments and empirical economics” (on page 11) is the title of the
article by Frank Kleibergen.
3
Auctions provide a familiar and simplemethod for reallocating resources from sell-ers to buyers. They have been used in thesale of a variety of goods since antiquity, andwith the recent advent of the Internet, therange and number of goods sold in auctionshave reached enormous proportions.1
Auctions have also been increasingly appliedin the transfer of assets from the public sec-tor to the private sector. A particularlyprominent example is the sale of spectrumfor telecommunication purposes. Followingthe successful auctions in the US in 1994,many countries decided to auction theirspectrum as well. In the summer of 2000,these UMTS auctions raised over 100 billionEuros across Europe.
The modern approach to auctions start-ed with William Vickrey’s seminal paper inthe March 1961 issue of the Journal ofFinance. Vickrey was the first to analyse auc-tions in the context of Bayesian games ofincomplete information (e.g. bidders for apainting know how much it is worth to them,but they don’t know rivals’ valuations).Vickrey studied the familiar first-price auc-tion, in which the high bidder wins and paysher own bid, and introduced a novel format,the second-price or “Vickrey auction,” wherethe winner pays the highest losing bid. Heshowed that the revenues a seller obtainsfrom employing a first- or second-price auc-tion are identical– a result that has sincebeen generalised to other formats. Vickrey’s
Practical AuctioneeringI n d e p t hJacob K. Goeree
●
and Theo Offerman●●
●
Jacob Goeree is a Research Fellow of the Alfred P. Sloan Foundation and theTinbergen Institute, and Professor of Economics at the Universiteit vanAmsterdam, where he received his Ph.D. in 1997. In April 2003 he was the jointwinner of the Tinbergen Prize for the scientifically most successful alumnus.
●●
Theo Offerman is a Research Fellow of the Royal Netherlands Academy of Artsand Sciences (KNAW) and the Tinbergen Institute, and Associate Professor ofEconomics at the Universiteit van Amsterdam, where he received his Ph.D. in 1996.
4
tinbergen magazine 8, fall 2003
celebrated revenue equivalence theorem nowforms one of the cornerstones of modernauction theory, as acknowledged by theNobel Prize committee in 1996.
Auction theory has since become anactive area of research, and the assumptionsunderlying the revenue equivalence theoremhave been relaxed considerably. In the lastthree decades, economists have investigatedthe efficiency and revenue-generating prop-erties of different auction formats in thepresence of risk aversion, correlation ofinformation, budget constraints, etc. Otherfactors, such as interdependent valuationsand asymmetries between bidders, have sur-faced in the literature only recently, probablydue to the computational complexities theycreate. These factors are critically importantfor the success of an auction, however, andmany selling mechanisms observed in reallife exhibit sensible ways to deal with them.This article describes some recent develop-ments in “practical auctioneering”: the inter-play between formal economic modelling andpractical auction design.
The Amsterdam auctionLarge asymmetries between bidders can
have devastating consequences for the profit-ability of certain auction formats. Consider, forinstance, the case of a real-estate auction,where speculators out for a bargain competewith buyers that have a genuine interest in thehouse. For concreteness, suppose that specula-tors are willing to pay $200,000 for a house.They may be able to sell it for more on themarket, but they have to take into accounttransaction costs, taxes, the effort of finding abuyer, etc. To make a decent profit, they there-fore won’t bid more than $200,000. Several ofthese speculators compete against a newlymarried couple whose (unknown) value for thehouse lies somewhere between $400,000 and$500,000. When a standard ascending (orEnglish) auction is employed, the price will riseto $200,000, after which all speculators dropout and the auction stops. So the house goes tothe newlyweds for a price of $200,000. Also inthe first-price auction, revenues will be only$200,000 – even though the house is worth atleast twice as much to the newlyweds.
5
tinbergen magazine 8, fall 2003
An intriguing and practical solution tothe problem of bidder asymmetries is provid-ed by “premium auctions,” where the highestlosing bidder receives some prize amount.Premium auctions are regularly used to sellland, boats, machinery, and equipment, andmany Belgian and Dutch towns have theirown variant, some dating back to medievaltimes (Sikkel, 2001). Actual premium auc-tions are rich in institutional details. Goereeand Offerman (2003a) consider a stylisedpremium auction with the essential featuresshared by all premium auctions. SinceAmsterdam is the most prominent city hold-ing premium auctions, we refer to this auc-tion as the “Amsterdam auction.”2
Amsterdam auctions consist of twostages. In the first stage, the auctioneer rais-es the price until all but two bidders havedropped out of the auction. The level atwhich the last bidder exits in the first stage,the “bottom price,” acts as a reserve price inthe second stage. In this stage, the two final-ists submit a sealed bid no less than the bot-tom price, the highest bidder gets the object,and both receive a premium proportional tothe difference between the lowest sealed bidof the second stage and the bottom price ofthe first stage (say 20% of this difference).Finally, the winner pays the lowest sealed bidof the second stage.3
The revenue-enhancing effects of theAmsterdam auction can be illustrated in thecontext of the above example where severalspeculators compete against a single“stronger” bidder (i.e. the newly married cou-ple). First, note that the newlyweds have noreason to bid below their value, which liessomewhere between $400,000 and $500,000.If they would, they might lose the auction ata price they would have preferred to win,and they might forgo a possible premium.The speculators, who realise that the newly-weds will not bid below their value, nowhave an incentive to remain in the auctioneven if the price exceeds $200,000. Indeed,suppose all other speculators drop out at$300,000; it then pays for one speculator tostay in the auction a little longer, say to$301,000, in order to win the premium. Inthe second stage this speculator can simplybid $399,000 to make sure the house is wonby the newlyweds, and cashes in on the pre-mium: 10% of $98,000, or $9.800.
Of course, all speculators face the samesituation, and none will want to drop outbefore $400,000. Once the price levelexceeds this amount, however, the incentivesof speculators change, as there is somechance that the newlyweds drop out.4 Forthis reason, a speculator who makes it to thesecond stage may find it optimal to bid$400,000 in this stage as well, in which caseno premium has to be awarded (since the
lowest price of the second stage and the bot-tom price of the first stage coincide). Inother words, the Amsterdam auction pro-vides a cheap way (i.e. no premium) for theseller to double the revenues (from $200,000to $400,000) without having to discriminatebetween bidders or having to gather informa-tion about which reserve prices or biddingcredits to choose.
In a series of experiments using bothsymmetric and asymmetric settings, Goereeand Offerman (2003a) compare the perfor-mance of standard first-price and Englishauctions with that of the Amsterdam auction.Figure 1 shows a histogram of revenues in anasymmetric bidding environment like the onein the above example. Note that theAmsterdam auction clearly outperforms thestandard first-price and English auctions. Thelatter format is not robust in this environ-ment, since it produces low revenues (some-times close to zero) at a high variance.
Figure 1. Revenue histogram for the different
auction formats.
Inefficiencies in auctions It seems fair to say that sellers of real
estate are mainly concerned with the revenueof the auction. In contrast, when a govern-ment decides to privatise public assets bymeans of an auction, they may be especiallyinterested in the efficiency of the resultingallocation. The recent European UMTS auc-tions, for instance, were motivated mainly byefficiency arguments (“put licenses in thehands of those that value them the most”),rather than as a means to alleviate govern-ments’ budget deficits.
Until recently, auctions were assumed toalways yield 100% efficient allocations. Thisbelief partly resulted from the common clas-sification of auctions into one of two cate-gories. In private-value auctions, biddersknow their own value for the commoditywith certainty, but are unsure about the valu-ations of others. The sale of a painting isoften used to illustrate this type of auction.In contrast, common-value auctions pertainto situations in which the object for sale is
6
worth the same to everyone, but bidders havedifferent private information about its truevalue. A well-known example where the com-mon-value set-up applies is the auctioning ofoil drilling rights – since the amount of oil isthe same no matter who wins the auction.
Most real-world auctions, however, arenot exclusively common value or privatevalue. For instance, when a painting is auc-tioned to a private collector, it may be resoldin the future, and the resale price will be thesame for all bidders. This adds a common-value component to the auction. And in theoil-drilling example, private-value differencesmay arise when a superior technologyenables some firms to exploit the rights bet-ter than others.
Efficiency is not an issue in (pure) pri-vate- or common-value auctions. In the pri-vate-value context, Vickrey (1961) hadalready shown that optimal bids are increas-ing in bidders’ values, and hence, that theobject is awarded to the bidder who values itthe most. And in common-value auctions, allbidders value the object the same, so anyallocation rule is (trivially) efficient.However, inefficiencies should be expectedwhen bidders possess both private- and com-mon-value information. The intuition for thisresult is straightforward: a bidder with a
moderate private value and an overly opti-mistic estimate of the common value mayoutbid a rival with a superior private valuebut more realistic conjectures about the com-mon value.
In their analysis of auctions with pri-vate- and common-value elements, Goereeand Offerman (2002, 2003b) show that moreuncertainty about the common value impliesa higher level of expected inefficiency. Whenthe uncertainty about the common value isso large as to override the private-valueinformation, auctions are no more efficientthan a random allocation rule. In the otherextreme (when there is no uncertainty aboutthe common value at all), the auction isreduced to an efficient private-value auction.
Auctioning of licenses to operatein a marketThe observation that more uncertainty
about the object’s value results in more inef-ficiency has important implications for theauctioning of licenses to operate in a market.There, the cost structure of bidding firmsconstitutes a private-value element, while theuncertain demand for consumer productsactually introduces a common-value aspect.The added value of using auctions as ameans of assigning licenses is greater whenthe uncertainty about the common-valueaspect is small than when it is large. Forinstance, vendor locations at fairs are oftenauctioned on an annual basis, which enablesbidders to accumulate information aboutdemand over time. Consequently, the com-mon value of the location can be determinedmore precisely, thereby reducing possibleefficiency losses in license auctions. In con-trast, the recent UMTS auctions provide anexample in which the uncertainty about thecommon-value aspect was likely to be large.First, these auctions are held infrequently.Second, estimating demand is complicated inan emerging market (such as the market formobile phones). As a result, efficiency lossesmay be more pronounced.5
OutlookThe study of auctions has matured con-
siderably since Vickrey’s original paper.Theoretical and experimental research in thisarea is booming, with many spillovers toother fields (e.g. the analysis of litigationsystems, lobbying, fund-raising, and optimaltaxation; see references). However, recentlicense auctions conducted across Europeclearly revealed the limitations in our currentunderstanding. These “natural field experi-ments” will undoubtedly serve as a catalystfor new avenues of research, as they uncov-ered important issues such as signalling,information and payoff externalities, pre-emptive bidding, collusion, etc. Some license
7
tinbergen magazine 8, fall 2003
auctions, such as the one planned for wire-less-local-loop frequencies, suggest a com-pletely novel and complex design. Thesedevelopments form a great impetus for“practical auctioneering,” and move researchon auctions beyond the realm of mere aca-demic interest.
ReferencesGoeree, J.K. (2002) Retiring rich, in Essays in Honor
of Claus Weddepohl, C. Hommes et al., eds., Berlin:
Springer-Verlag, 197-207.
Goeree, J.K. (2003) Bidding for the future: Signaling
in auctions with an aftermarket, Journal of
Economic Theory, 108(2), 345-364.
Goeree, J.K. and T. Offerman (2002) Efficiency in
auctions with private and common values: An
experimental study, American Economic Review,
92(3), 625-643.
Goeree, J.K. and T. Offerman (2003a) The
Amsterdam auction, Econometrica, forthcoming.
Goeree, J.K. and T. Offerman (2003b) Competitive
bidding in auctions with private and common val-
ues, Economic Journal, 113 (489), 598-613
Goeree, J.K. and T. Offerman (2003c) Winner’s curse
without overbidding, European Economic Review,
47, 625-644.
Onderstal, S. (2002) Essays in auction theory, Ph.D.
thesis, Tilburg University.
Sikkel, M. (2001) Plokken en mijnen, Parool, April 3, 2.
Vickrey, W. (1961) Counterspeculation, auctions,
and sealed tenders, Journal of Finance, 16, 8-37.
Notes1 Objects sold on the largest Internet auction site,
eBay, include collectibles, electronics, software,
travel services, art, wine, etc. In 2002, the Northern
Californian town Bridgeville was put up for sale
through eBay (“own your own ZIP code: 95526”),
and sold at $1.8 million just seconds before the
auction closed.
2 In the Netherlands these auctions are called
“plokgeld veilingen,” while in Belgium they are
known as “veilingen met het recht van verdieren,”
which is old Dutch for “auctions with the right to
make more expensive.”
3 Goeree and Offerman (2003a) also consider the
case in which the winner pays the highest sealed
bid in the second stage. We use the terminology
“first-price Amsterdam auction” to distinguish this
format from the “second-price Amsterdam auction”
described in the main text.
4 In the actual premium auction used in Amsterdam,
bidders who participate only to win the premium
are known as “premium hunters.” In a typical ses-
sion of the Amsterdam auction, which is held bi-
weekly, there will be about ten premium hunters
present. When a premium hunter ends up winning
the house for sale, he is called a “hanger.” In our
experiments, hangers could incur a loss and possi-
bly go bankrupt, which meant that they had to
leave the experiment without receiving any money.
In former times, the consequences of being a hang-
er in the actual Amsterdam auction could be much
more severe: if a hanger could not pay for the
house he won, he would be sent to prison for one
or two months. If it happened twice, he would be
tortured (Sikkel, 2001).
5 Goeree and Offerman (2002, 2003b) also evaluate
policies to enhance efficiency and revenues. Our
study shows that governments should (i) invest in
gathering and providing information about the
licenses that are sold and (ii) stimulate entry into
the auction, e.g. by having no participation fee (or
even reimbursing bidders for their opportunity
costs).
Up
close
By Robert Mosch
An interview with Robert Dur
Enough work for motivated economists
8
tinbergen magazine 8, fall 2003
Robert Dur is post-doctoral researcher at
the Erasmus Universiteit Rotterdam. In
2000, he was the youngest laureate to
receive a NWO Vernieuwingsimpuls
Research Grant for his project on “Intrinsic
motivation and extrinsic rewards”.
The Dutch Scientific Organisation (NWO)subsidises your research on “intrinsic motiva-tion and extrinsic rewards” with 650,000 eurofor five years. What is your intrinsic motiva-tion to do this research?
My interest in this topic is a directresult of the research I did for my Ph.D. the-sis, which explored political economics. Oneof the basic assumptions in political eco-nomics is that politicians are no angels. Theyare self-interested and behave opportunisti-cally– to ensure, for instance, that they winthe next election. Elections can be seen as aselection procedure in which voters selectthe politicians who seem to be the most com-petent, to have the right policy preferences,
9
tinbergen magazine 8, fall 2003
and to have the best motivation to do theirjob. Regarding this motivation, there seem tobe two extremes. The first, which can befound in most of the political economics lit-erature, views politicians as motivated onlyby their narrow self-interest. They takebribes and do not hesitate to abuse theirposition. Sometimes, this can be rather sub-tle. As there is an information asymmetrybetween politicians and citizens, politicianscan decide to withhold information, if it isnot to their advantage. This could be thecase, for example, if a certain policy conduct-ed by an administration proves to be a fail-ure and should be replaced by a new policy.Such a new policy would, however, signal tothe voters that the original policy had some-how fallen short. This would damage thepolitician’s reputation and lower his chanceof re-election. The politician thereforedecides to stick to his earlier inefficient poli-cy. At the other extreme in motivation is theview of government in the public economicsliterature, where a social planner acts in theinterest of society. Of course, most peopleare somewhere in between these extremes. Itis important to take this into account whenthinking about political institutions. If insti-tutions are designed merely to deal withpoliticians with a ‘bad’ motivation, then peo-ple with a ‘good’ motivation may be discour-aged from striving for a political career.
In a recent working paper, you start withthe observation that economic models ofworker behaviour typically assume that peo-ple dislike working. Do you dislike working?
No, certainly not. That paper flows outof my second research interest, labour andpersonnel economics. When an employer islooking for a new employee, he is interestednot only in the diplomas of the applicants,but also in their motivation, how they wouldfit in the team, etc. The traditional theorieson workers’ behaviour assume that all work-ers are lazy and greedy. What we try to do isto think more realistically about people’spreferences. On the one hand, workers canbe motivated by the pride they take (or thefun they have) in their work, and thereforeexert more effort. On the other hand, work-ers can be distracted from doing their workby inherent ‘bad’ habits or character traits,like envy, anger, vanity, and so on.
What contribution do these sins andvirtues make to the traditional analysis?
Well, consider envy as an intrinsic moti-vation for workers, a topic that I’m workingon with Ami Glazer. When it is assumed thatworkers are risk-neutral, the employershould pay the full marginal product so thatthe interests of the employer and employeeare in line with each other. So, no problems.But what about when workers are risk-
averse? Traditional analysis says that the lessrisk-averse employer should take over someof the risks, which means that workersreceive weaker monetary incentives. Butwhen a worker puts in more effort in this sit-uation, part of the extra rents go to his boss,which leads to envy. As a result, the enviousworker puts in less effort. Envy also meansthat the effect of incentives increases.Besides the usual effect that effort becomesmore rewarding, higher incentive pay meansthat the boss gains less from his effort,which promotes worker effort. With thispoint in mind, consider the empirical puzzlethat monetary incentives in the public sectorare lower than in the private sector. Thispuzzle could be explained using the analysisabove if the workers in the public sectorhave less reason to be envious than their pri-vate sector colleagues. That is not a strangethought, because the rents in the public sec-tor are for the society in general, while therents in the private sector end up in thehands of (already rich) shareholders.
Does this imply that workers who arebetter motivated (for example, because theyare not envious or take pride in their work)get punished in the form of lower salaries?
Yes, but you could also argue that sincethey are already so lucky as to have a goodmotivation, it is no problem to take somerents from them. However, competitionbetween employers for the best-motivatedworkers will drive up their wages. Only whenthis competition is lacking (for instance, as aresult of government regulation) mayemployers take advantage of workers’ moti-vation. In a recent paper with JosseDelfgaauw, we showed that this extraction ofworkers’ motivational rents might be analternative explanation for weak incentives inpublic sector jobs. Weak incentives in publicsector jobs can be seen as an implicit tax onmotivation.
Weak incentives in public
sector jobs can be seen as
an implicit tax on motivation
But ‘if you pay them peanuts, you getmonkeys’?
That is more the competence storyinstead of the motivation story. For instance,if you want to attract politicians with highabilities, you have to pay them well. Fromthe motivation side, however, you have to becareful not to pay too much, because a high-er salary gives stronger incentives to stay inoffice. This means stronger incentives for‘bad’ or ‘dishonest’ politicians to fool voters
10
in order to be (re)elected. When salaries arelow, ‘good’ or ‘honest’ politicians can signalto the voters that they are intrinsically moti-vated to take the job.
I am working with Klaas Beniers to try toput this in a formal framework. Elections canbe modelled as tournaments in which politi-cians compete for prizes. The politicianshave different motivations on a continuum ofhonest to dishonest. Both the politicians andvoters have beliefs about the shape of thisdistribution. This forms the political cultureof a country. This political culture influencesthe behaviour of politicians and voters. Forexample, if an honest politician believes thathis colleagues are also honest, he might bewilling to honestly admit that an earlier deci-sion on a certain topic was wrong and tochange that policy in line with his newinsights. However, if the honest politicianbelieves that most of the other politiciansare more or less dishonest, he might fear –with reason – losing his chances of re-elec-tion after admitting a mistake. Higher remu-neration for politicians might strengtheneverybody’s incentive to behave dishonestly,which would in turn make dishonestbehaviour more attractive. So, even when the
motivations are stable, behaviour may be dif-ferent, depending on the institutional envi-ronment. This is in line with the outcry ofmany ex-politicians that the system forcesyou to act in specific ways.
What are the future perspectives for thisresearch field?
The first aim is, of course, to explainthe world. Why do political cultures differ?What is the role of institutions? What moti-vates people’s behaviour? After this, we canconsider the implications for institutionaldesign. As a matter of fact, economists put astamp on society, sometimes far more thanscientists from other disciplines. However,the traditional view of economists regardingthe behaviour of human beings, the homoeconomicus, is too narrow and therefore notfree of danger. Giving economic advice withthis narrow view in mind could result in thedesign of institutions with negative implica-tions for people with good, not purely self-interested intentions and motivations. It istherefore important to extend the traditionalmodels and make them more realistic – inline with behaviour of ‘real’ people. Insightsfrom the field of psychology are helpful inthis regard, while economics could help psy-chology by offering a research method withclear assumptions and modelling. Althoughthis has already led to some very interestingpapers, we are still far away from modellingemotions. In other words, motivatedeconomists will still find plenty of work todo in this field.
A bad political culture may be self-reinforcing:
behaving dishonestly may become the only way to
survive in politics.
11
tinbergen magazine 8, fall 2003
Use of a large data set automaticallyimplies that the empirical validation of aneconomic model is conducted in a statistical-ly sound manner. That was the commonthinking – until recently. The large samplevalidity of statistical inference is often a mis-conception for economic models that containendogenous variables. Endogeneity is a com-monality of many economic variables, andresults from their joint determinedness.Prices and quantities are jointly determinedin markets, for instance; earnings and thelength of education are jointly determined bya person’s ability, since more intelligent peo-ple go to school longer and earn higherwages. Because endogenous variables aredetermined simultaneously, we need toensure that empirical relationships do notrepresent properties arising from other back-ground variables. This leads to the use of“instrumental variables”, or instruments thataffect only one of the involved endogenousvariables. Instrumental variables allow one todetermine the sole effect of one endogenousvariable on the other. With regard to theexample of the return on education for earn-ings, the instruments should be related tothe length of education, but not to wages orintelligence. Examples of such instruments
are proximity-to-school variables (used byCard, 1995), and date-of-birth-related vari-ables (used by Angrist and Krueger, 1991).
Angrist and Krueger (1991) use quarter-of-birth-related variables as instruments todetermine the return on education for earn-ings. Quarter-of-birth-related variables canserve as instruments, since the quarter ofbirth is randomly distributed over the popu-lation and is thus not related directly tointelligence or earnings. Because of the ageat which a person enters school, and USstate-dependent compulsory school atten-dance laws, the quarter of birth does indeedaffect educational attainment. The degree towhich the quarter of birth explains the edu-cational attainment is rather minor, however,and the quarter of birth is therefore a weakinstrument. Staiger and Stock (1997) showthat many statistical procedures are unreli-able in case of weak instruments– even whenthe number of observations is large. Bound,Jaeger and Baker (1995) show that similarempirical results are obtained for the Angristand Krueger data when artificially generatedrandom variables are used as instrumentsinstead of quarter-of-birth variables. Hence,although the dataset of Angrist and Krueger(1991) has more than 300,000 observations,
●
Frank Kleibergen is professor
of economics at Brown
University and associate
professor in econometrics
at the Universiteit van
Amsterdam. He is the joint
winner of the Tinbergen
Prize and is sponsored by
a NWO Vernieuwingsimpuls
research grant. His research
interests include instrumen-
tal variable methods and
Bayesian econometrics.
I n d e p t h
Weak instruments andempirical economicsFrank Kleibergen
●
12
tinbergen magazine 8, fall 2003
their empirical results are affected by weakinstruments, and must be interpreted withcaution.
Weak instruments commonly arise inempirical analyses of economic models thatcontain endogenous variables. It is thusimportant to have statistical procedures thatremain trustworthy when the instruments areweak. Economic models with endogenousvariables are prominent and have a long-standing research tradition in econometrics(see Hood and Koopmans, 1953). An exten-sive literature has therefore appeared on thebehaviour of estimators and statistical testsin small samples that are used for statisticalinference in these models (for a review of theliterature, see Phillips, 1983). This extensiveliterature has, however, hardly influenced theempirical analysis of economic models withendogenous variables. The reason for thisneglect is twofold. First, it was thought thatthe convenient large sample theory of esti-mators and statistical tests could be safelyused in large datasets. Second, the smallsample theory is highly mathematical, and isnot geared towards applications. It is surpris-ing, for example, that this literature containsno statistical test that remains trustworthy incase of weak instruments developed afterAnderson and Rubin (1949). The awarenessof the pervasiveness of weak instrumentssince Angrist and Krueger (1991), and the
lack of statistical procedures that are robustto them inspired a rebirth of research oninstrumental variable procedures.
Kleibergen (2002) and Moreira (2003)recently developed two test procedures thatremain trustworthy when instruments areweak. For a long time, the only statistical testprocedure robust to weak instruments wasthe Anderson-Rubin statistic developed byAnderson and Rubin (1949), which tests boththe validity of the economic model and thevalue of the parameters of the endogenousvariables. Usually, we are interested in test-ing only one of these two hypotheses. Whenwe then use the Anderson-Rubin statistic totest this hypothesis, we always have to testthe other hypothesis alongside, which comeswith a loss of discriminatory power. Hence,there was room for improvement on theAnderson-Rubin statistic in the constructionof a test that focuses on only one of thehypotheses involved in the Anderson-Rubinstatistic. This goal was met through the twonovel test procedures that test only the valueof the parameters of the endogenous vari-ables. Kleibergen’s (2002) test procedure,based on the score or Lagrange multiplierprinciple, has an asymptotic distribution thatdoes not depend on the quality of the instru-ments. The asymptotic distribution thereforealso adequately reflects the behaviour of thetest procedure in small samples. Moreira’s(2003) test procedure is based on the likeli-hood ratio principle and has a conditionalasymptotic distribution that depends on anestimable parameter. Both tests remain trust-worthy in case of weak instruments, and testonly the value of the parameters of theendogenous variables. They have typicallymore discriminatory power, therefore, thanthe Anderson-Rubin statistic.
Empirical analyses using statistics thatremain trustworthy in case of weak instru-ments can lead to vastly different conclu-sions. Kleibergen (2002) analyses the Angrist-Krueger data using such statistics, and con-structs 95% confidence sets for the return oneducation. He shows that for some specifica-tions of the model used by Angrist-Krueger(1991), the 95% confidence set contains everypossible value for the return on education.These confidence sets indicate that theinstruments are weak. The amount of infor-mation in the instruments is then meagre,and does not help to determine the return oneducation. Hence, any value for the return oneducation can result, which is reflected bythe 95% confidence set that contains all pos-sible values. Angrist and Krueger (1991) usestatistics that are not trustworthy in case ofweak instruments, and their 95% confidencesets are always finite. Given that there is lit-tle information in the instruments, these 95%confidence sets erroneously imply that some-
13
thing can be said about the return on educa-tion. Kleibergen (2002) also obtains 95% con-fidence sets for the return on education for anumber of specifications that are finite andcentred around plausible values. For thesespecifications, there is information about thereturn on education in the instruments. Thepossibility of an unbounded confidence settherefore helps to discriminate betweenspecifications in which the instruments areweak (and contain little information) andspecifications that are properly identified (sothe instruments do contain information onthe return on education).
The study of weak instruments is cur-rently an active research environment. Thisresearch progresses along two lines. The firstseeks to extend the statistical test proce-dures of Kleibergen (2002) and Moreira(2003). These procedures were developed forjoint tests on all parameters in linear eco-nomic models with endogenous variables.Extensions can therefore be made towardstests on subsets of the parameters (see e.g.Kleibergen, 2003a) and towards a generalizedmethods-of-moments setting that allows fornon-linear models (see Kleibergen, 2003b).Another line of research focuses on applyingthe statistical test procedures in empiricalwork. The weak instrument literature hasbeen motivated, to a large extent, by thereturn on education study of Angrist andKrueger (1991). The occurrence of weakinstruments is not restricted to quarter-of-birth variables, however. Use of statisticaltest procedures that are robust to weakinstruments could also have profound conse-quences in the empirical analysis of othereconomic models such as stochastic discountfactor models (Stock and Wright, 2000, andKleibergen, 2003b), and factor models (Kanand Zhang, 1999a,b).
References
Anderson, T.W. and H. Rubin (1949). Estimators of
the parameters of a single equation in a complete
set of stochastic equations. Annals of Mathematical
Statistics, 21:570-582.
Angrist, J.D. and A.B. Krueger (1991). Does compul-
sory school attendance affect schooling and earn-
ings? Quarterly Journal of Economics, 106:979-
1014.
Bound, J., D.A. Jaeger and R. Baker (1995). Problems
with instrumental variables estimation when the
correlation between the instruments and the
endogenous explanatory variable is weak. Journal
of the American Statistical Association, 90:443-450.
Card, D. (1995). Using geographic variation in col-
lege proximity to estimate the return to schooling.
L.N. Christofides, E.K. Grant and R. Swidinsky, eds.,
Aspects of Labour Market Behaviour: Essays in
Honor of John Vanderkamp, pages 201-222.
University of Toronto Press, Toronto, Canada. (NBER
Working Paper 4483 (1993)).
Hood, W.C. and T.C. Koopmans (1953). Studies in
Econometric Method, Volume 14 of Cowles
Foundation Monograph. Wiley (New York).
Kan, R. and C. Zhang (1999a). Two-pass tests of
asset pricing models with useless factors. Journal
of Finance, 54:203-235.
Kan, R. and C. Zhang (1999b). GMM tests of stochas-
tic discount factor models with useless factors.
Journal of Financial Economics, 54:103-127.
Kleibergen, F. (2002). Pivotal statistics for testing
structural parameters in instrumental variables
regression. Econometrica, 70:1781-1803.
Kleibergen, F. (2003a). Pivotal statistics for testing
subsets of structural parameters in the IV regres-
sion model. Review of Economics and Statistics,
forthcoming.
Kleibergen, F. (2003b). Testing parameters in GMM
without assuming that they are identified.
Tinbergen Institute Discussion Paper TI 2001-67/4,
2003b.
Moreira, M.J. (2003). A conditional likelihood ratio
test for structural models. Econometrica.
Forthcoming.
Phillips, P.C.B. (1983). Exact small sample theory in
the simultaneous equations model. In Z. Griliches
and M.D. Intrilligator, eds., Handbook of
Econometrics, vol. 1. North-Holland Publishing Co.,
Amsterdam.
Staiger, D. and J.H. Stock (1997). Instrumental
variables regression with weak instruments.
Econometrica, 65:557-586.
Stock, J.H. and J.H. Wright (2000). GMM with weak
identification. Econometrica, 68:1055—1096.
Tin
berg
en
Pri
ze
14
tinbergen magazine 8, fall 2003
The jury awarding the Tinbergen Prize 2003, honouring the scientifically most successfulTI alumnus, had no easy time choosing this year’s winner among the many outstandingresearchers at Tinbergen Institute. To focus our search, we finally decided that only alumni withfull-length publications in top journals (the AA-list of the Tinbergen Institute) could qualify aspotential recipients of the Tinbergen Prize. This view reflects our conviction that quality mat-ters more than quantity, and that peer review by the profession is an adequate way to distin-guish the excellent from the good.
The selection criterion left us with a short-list of four candidates. We then proceeded to readthe major publications of the candidates on the short-list, and narrowed down the list of con-tenders to two. Choosing between the remaining two contenders, both excellent researchers withrapidly growing reputations in their own fields, turned out to be difficult. Comparison betweentheir respective contributions proved complicated because their fields of expertise are disparate.The jury therefore decided to award the Tinbergen Prize to the two candidates jointly, noting thateach is an outstanding researcher and would have deserved to be sole winner of the prize.
The joint winners of the Tinbergen Prize 2003 are Jacob Goeree and Frank Kleibergen.
Jacob Goeree, currently Professor of Economics at the Universiteit van Amsterdam, receivedhis Ph.D. from Tinbergen Institute in 1997. His research work ranges widely across differentaspects of economics. His work is characterised by a common approach that combines a suregrasp of economic theory with rigorous experimental techniques. His research, which has beencarried out with a number of different collaborators here in the Netherlands and abroad, hasyielded interesting results about the functioning of specific mechanisms such as auctions, andhas provided us with rich insights into human behaviour in strategic situations, more generally.In the best traditions of scientific work, his efforts highlight the limits of our existing theoriesand point to avenues for promising research.
Frank Kleibergen graduated from Tinbergen Institute in 1994, and is now AssociateProfessor of Econometrics at the Universiteit van Amsterdam. He has made important contribu-tions in a number of different areas of econometric theory, including the development of a com-plete Bayesian framework for co-integration analysis, pivotal statistics for testing structuralparameters in instrumental variables regression, vector error correction analysis, and economet-ric inference in the presence of weak instruments only. These topics are all timely, and Frank’swork shows a deep understanding of the topics he addresses and the way they are related. Inthe best tradition of the subject, his work combines statistics, classical econometrics andBayesian econometrics at the highest level.
Rotterdam, April 11, 2003The jury for the Tinbergen Prize
Arie Kapteyn (chair)Sanjeev GoyalJan Willem Gunning Jan KivietJan van Ours
Jury report, Tinbergen Prize 2003
15
tinbergen magazine 8, fall 2003
Modelling andforecasting levelshifts in absolutereturns
A well-known feature ofstock market returns is thatthey exhibit volatility cluster-ing: the tendency of outliersto come in sequences.Therefore, a measure ofvolatility, such as absolutereturns, may experiencetemporary level shifts.Absolute returns may thusbe high in some periods,and low in others. Closelyrelated to this feature is thepersistent autocorrelation inabsolute returns.
While existing models (suchas the ARMA and ARFIMAmodels for absolute returns,and the GARCH models forcommon returns) focus onthe autoregressive behaviourof volatility, this paper focus-es on the feature of tempo-rary level shifts in absolutereturns. For this purpose wepropose a switching-regimecensored latent effectautoregression (SR-CLEAR)model. The model assumesthat a censored latent vari-able drives up the volatilityin some periods, while it isabsent in others. Further, ittakes into account the lever-age effect, since bearishmarkets tend to exhibit high-er volatility.
The new model was estimat-ed for nine stock marketreturns. The censored latentvariable is able to explain
most of the autocorrelationin absolute returns. The fore-casts from the new modelare better than those fromARFIMA models, particularlywhen extreme events areconsidered.
Philip Hans Franses, Marco van
der Leij and Richard Paap (EUR)
2002, Modelling and forecasting
level shifts in absolute returns,
Journal of Applied Econometrics,
17(5), 601-616.
The anatomy ofunemploymentdynamics
This paper develops a modelto examine how individualunemployment duration andincidence are affected bytime-varying macroeconomicconditions. The model ana-lyzes aggregate unemploy-ment incidence and durationdata (quarterly French dataover the period 1982-1994).Calendar time effects areallowed to act on the exitprobabilities for all currentlyunemployed, and the com-position of the inflow intounemployment depends oncalendar time at the momentof inflow.
The incidence and durationof unemployment amongmales is shown to be ratherlarge in bad economic times,and a male’s chances of leav-
ing unemployment areshown to depend negligiblyon the date he enteredunemployment. These find-ings contrast with theoriesthat predict that the compo-sition of the inflow will beparticularly unfavourable inbad times because of therestructuring efforts of firms.Our results show, in con-trast, that female cohortsentering at the top of thecycle are more sizable thantheir male counterparts, andhave relatively short unem-ployment spells.
The paper thus provides amixed explanation for thedecline in the rate of leavingunemployment, relative tothe time spent in unemploy-ment. Heterogeneity in exitprobabilities, as well as theinduced deteriorating qualityof workers surviving inunemployment, explain thenegative duration depen-dence in the first six quar-ters of unemployment.However, diminishing indi-vidual opportunities (e.g.because of stigma effects)seem to be important athigher durations.
Jaap H. Abbring (VU), Gerard J.
van den Berg (VU) & Jan C. van
Ours (UvT), 2002, The anatomy
of unemployment dynamics,
European Economic Review, 46,
1785-1824.
Auctions as collusion devices
One of the most debatedquestions concerning therecent wave of spectrumauctions held around theworld is whether auctionsgive rise to higher prices inthe market after the auction.Firms stress that they haveto recover the money theyspend on obtaining a licenseand therefore set higherprices when auction rev-enues are high. Economistsregard payments during anauction as a sunk cost at themoment firms compete inthe marketplace, so thatthere is no relation betweenauction revenues and marketprices. Recent experimentsshow, however, that auction-ing rights to compete in themarket does lead to highermarket prices.This paper develops an eco-nomic argument relatingauctions to high marketprices. At the core of theargument is the claim thatmarket competition and bid-ding in an auction should beanalyzed as part of one biggame. Bidding behavior inthe auction may signal afirm’s intention of settinghigh prices at the marketstage. More formally, theonly equilibrium consistentwith the logic of forwardinduction is one in whichfirms bid an amount (almost)equal to the profits of thecooperative market outcome,and subsequently set highmarket prices.
By Maarten C.W. Janssen (EUR),
Auctions as collusion devices
TI03-017/1
papers in journals
discussionpapers
16
tinbergen magazine 8, fall 2003
A new approach tomodeling economicconvergence
This paper develops a newapproach to modeling eco-nomic convergence, andapplies it to per capita grossdomestic product for five EUmembers: Germany, France,Italy, Spain and theNetherlands. The newapproach is based on multi-variate time series modelswith unobserved componentsthat have dynamic convergingproperties. Various forms ofconvergence are introducedinto the model via mecha-nisms that allow for gradualreductions in the ranks ofcovariance matrices associat-ed with the disturbance vec-tors driving the unobservedcomponents. This makes itpossible to identify varioustypes of convergence, includ-ing convergence in growthrates, in cyclical behavior, andin overall volatility.
The empirical results indicatethat both the slope and cyclecomponents associated withItaly, Spain and theNetherlands began converg-ing towards components incommon with Germany andFrance around the time of theintroduction of the ExchangeRate Mechanism in 1979.Spain’s growth converged tothe common growth compo-nents by the time it joinedthe EU in 1986. The cyclicalcomponents for Italy, Spainand the Netherlands con-verged to the common cyclecomponents by the inceptionof the Common Market in1993. Finally, the results indi-cate substantial convergenceof the common variance,which is still in the process ofconverging.
By Rob Luginbuhl, and Siem Jan
Koopman (VU),
Convergence in European GDP
Series
TI03-031/4
Pricing phenomenaand the switch tothe euro
This paper explores twowell-known pricing phenom-ena: Prices tend to cluster atround numbers (such as 10,20, 30 etc., and to a lesserextent 5, 15, 25, etc.), andprices pass round numbersless frequently than othernumbers (round-numberprice barriers). Althoughthese effects are small, theyare robust (documented invarious markets) and defyany strict definition of theefficient market theory. In anattempt to explain thesephenomena, this paper teststwo competing hypotheses,using data from the Dutchstock market during 1990-2001. After January 1, 1999,stock prices were listed ineuros, while guilders werestill the currency of daily lifeuntil 2002. According to theaspiration-level hypothesis,investors will have targetprices for the stocks theyown. This hypothesis pre-dicts that round-numbereffects in guilders will disap-pear only slowly. The odd-price hypothesis, which orig-inates from cognitive psy-chology and marketing,maintains that humans tendto compare numbers digit-by-digit from left to right,and therefore consider anodd price of 19.90 as con-siderably less than 20.00.This hypothesis predicts anabrupt change in round-number effects after January1, 1999. The results rejectthe aspiration-level hypothe-sis and confirm the odd-price hypothesis.
By Joep Sonnemans (UvA), Price
clustering and natural resistance
points in the dutch stock market:
A natural experiment,
TI03-043/1
The measurement of aca-demic output has become aprofession in itself. Explicitfactors that affect an aca-demic’s performance andthereby her rewards are thenumber, length, and impactof publications. Anotherexplicit factor determiningan academic’s position is thenumber of co-authors on agiven paper. Most of the“accounting systems” divideresearch output by n+1,where n is the number ofauthors. An implicit factorthat is widely believed toaffect individual academicperformance is name order-ing amongst the authorship.Name-order selection formulti-authored papers inleading economics journalsand its effect on individualproductivity is the topic ofthis study.The study distinguishes twoname-ordering strategies:alphabetic and non-alphabet-ic. The investigation centreson two questions (1) Whatare the determinants of anauthor group’s name order-ing strategy? And (2) is sci-entific output affected by therelative alphabetic positionof an academic’s last name(given the dominant usageof alphabetic name orderingin our profession)? We find
that author groups clearlytake the advantages of beingfirst author into accountwhen positioning their mem-bers. Economists are correctin perceiving name orderingas a deliberate decision. Thisis supported by the answerto our second question: Isscientific reputation higherfor authors whose namesrank first in the alphabet?Indeed, career prospectsseem to be better for aca-demic economists whosenames are more likely toappear first in a group. Thiseffect does not become visi-ble at the beginning of aneconomist’s career, but lateron, when her career is moreadvanced, and reputation andvisibility already established.
By C. Mirjam van Praag and
Bernard M.S. van Praag (UvA),
First-author determinants and
the benefits of being Professor A
(not Z):
An empirical analysis,
TI03-045/3
The benefits of being Professor A (not Z)
17
tinbergen magazine 8, fall 2003
Technological change, it is generally known, profoundly influ-ences the natural environment. The direction and the size of thisinfluence are surrounded by uncertainties, however, which sub-stantially complicate environmental policymaking. An illustrationis the current state of affairs with the 1997 Kyoto agreement onlimiting greenhouse gas emissions. Several countries that at thetime signed the agreement now reject or postpone its ratifica-tion. One of the reasons they give is uncertainty about the bene-fits of emission reductions.
This thesis uses game-theoretical models to study environmentalpolicymaking under (technology-related) uncertainty. From a pos-itive point of view, the analysis proposes explanations for envi-ronmental policies in modern democracies. The degree of envi-ronmental policy activism in a country, for example, may beinfluenced by uncertainty about policy consequences and uncer-tainty about the future policymaker’s preferences. From a norma-tive point of view, the analysis recommends ways to improveenvironmental policy. Thus, under uncertainty about the costs oftechnological advances in pollution control, a direct regulationinstrument of environmental policy may perform better thanmarket-based instruments. Direct regulation offers the policy-maker a commitment possibility that hinders the negative conse-quences of firms’ strategic behaviour.
Thesis: ‘Environmental policy and environment-saving technologies.
Economic aspects of policymaking under uncertainty’ by Ioulia Ossokina.
Published in the Tinbergen Institute Research Series #311
Partner selection in business
markets - A structural
embeddedness perspective
The attitudes, behaviour and performance of individuals are afunction of the larger social network in which the actors areembedded. This thesis substantiates empirically the structuralembeddedness effects on marketing contexts. By diffusing infor-mation and by curtailing opportunistic behaviour, social net-works are shown to positively influence the market performanceof individual players.
The thesis examines the first effect by considering the pharma-ceutical industry, which consists of hundreds of firms, each withspecific competencies. Firms gain access to these competenciesthrough alliances. Firms that actively manage their portfolio ofalliances by collaborating with other firms having different tech-nological competences are better able to develop radically newdrugs.
The thesis approaches the second effect through the buyer-sellerrelationship. When the actors are embedded in a network ofmutual contacts, the behaviour of opportunistic individuals islimited. A buyer firm may counter any attempts at opportunisticbehaviour on the part of a vendor by “spreading the word”,thereby damaging the vendor’s reputation as a trustworthyexchange partner.
Thesis: ‘Partner selection in business markets - A structural embeddedness
perspective’ by Stefan Wuyts. Published in the Tinbergen Institute Research
Series #309
theses
How to protect the environment
when we know so little
18
Theses
296 LUCIO VINHAS DE SOUZA (03/04/03), Beyond
Transition: Essays on the Monetary Integration of
the Accession Countries in Eastern Europe.
305 GERWIN GRIFFIOEN (03/03/03), Technical
Analysis in Financial Markets.
306 IRENE LAMMERS (20/05/03), In Conflict: een
Geschiedenis van Kennismanagement.
307 OVIDIU LISTES (12/06/03), Stochastic
Programming Approaches for Strategic Logistics
Problems.
308 ARIANNE DE BLAEIJ (03/04/03), The Value of a
Statistical Life in Road Safety; Stated Preference
Methodologies and Empirical Estimates for the
Netherlands.
309 STEFAN WUYTS (27/03/03), Partner Selection in
Business Markets - A Structural Embeddedness
Perspective.
310 HENRI DEKKER (26/03/03), Control of Inter-
organizational Relationships: The Effects of
Appropriation Concerns, Coordination
Requirements and Social Embeddedness.
311 IOULIA OSSOKINA (20/06/03), Environmental
Policy and Environment-saving Technologies.
Economic Aspects of Policy Making under
Uncertainty.
312 DIRK BROUNEN (13/06/03), Real Estate
Securitization and Corporate Strategy. From Bricks
to Bucks.
313 JAN DE KOK (26/06/03), Human Resource
Management within Small- and Medium-sized
Enterprises.
314 TIBERT VERHAGEN (25/09/03), Towards
Understanding Online Purchase Behavior.
315 RUTGER HOEKSTRA (01/10/03), Structural
Change of the Physical Economy. Decomposition
Analysis of Physical and Hybrid-unit Input-Output
Tables.
316 RUTA AIDIS (14/05/03), By Law and by Custom:
Factors affecting Small- and Medium-sized
Enterprises during the Transition in Lithuania.
317 SEBASTIANO MANZAN (06/06/03), Non-linear
Prediction of Financial Data and Models.
318 KATRIN OLTMER (22/05/03), Agricultural
Policy, Land Use and Environmental Effects -
Studies in Quantitative Research Synthesis.
319 JOB HORBEEK (26/06/03), The Elastic Work
Floor; About the Implementation of Internal
Flexibility Arrangements.
Abbring, J.H., G.J. van den Berg and J.C. van Ours,
2002, The anatomy of unemployment dynamics,
European Economic Review, 46(10), 1785-1824.
Abbring, J.H., 2002, Stayers versus defecting
movers, A note on the identification of defective
duration models, Economics Letters, 74(3), 327-31.
Adam, C.S. and J.W. Gunning, 2002, Redesigning the
aid contract: Donors’ use of performance indicators
in Uganda, World Development, 30(12), 2045-56.
Albrecht, J.W., P.A. Gautier and S.B. Vroman, 2003,
Matching with multiple applications, Economics
Letters, 78(1), 67-70.
Anderson, S.P., J.K. Goeree and C.A. Holt, 2002, The
logit equilibrium: A perspective on intuitive behav-
ioral anomalies, Southern Economic Journal, 69(1),
21-47.
Beetsma, R.M.W.J. and A.L. Bovenberg, 2003,
Strategic debt accumulation in a heterogeneous
monetary union, European Journal of Political
Economy, 19(1), 1-15.
Beetsma, R.M.W.J. and H. Jensen, 2003, Why money
talks and wealth whispers: Monetary uncertainty
and mystique: Comment, Journal of Money, Credit
and Banking, 35(1), 129-36.
Berg, G.J., van den, A. Holm and J.C. van Ours,
2002, Do stepping-stone jobs exist? Early career
paths in the medical profession, Journal of
Population Economics, 15(4), 647-65.
Bergh, J.C.J.M., van den, and J.M. Gowdy, 2003, The
microfoundations of macroeconomics: An evolu-
tionary perspective, Cambridge Journal of
Economics, 27(1), 65-84.
Papers in Journals and books published by TI fellows
19
tinbergen magazine 8, fall 2003
Berk, J.M., 2002, Banca centrale e innovazione
finanziaria. Una rassegna della letteratura recente.
(Centr. banking and financial innovation: A survey
of the modern literature. With English summary.)
Moneta e Credito, 55(220), 345-85.
Berk, J.M., 2002, Central banking and financial innova-
tion: A survey of the modern literature, Banca Nazio-
nale del Lavoro Quarterly Review, 55(222), 263-97.
Beukering, P.J.H., van, H.S.J. Cesar and M.A. Janssen,
2003, Economic valuation of the Leuser National
Park on Sumatra, Indonesia, Ecological Economics,
44(1), 43-62.
Bijl, P.W.J., de, and S. Goyal, 2002, Market integration
and technological change, Netnomics, 4(1), 19-37.
Black, W.R., P. Nijkamp, eds, 2002, Social change
and sustainable transport, Bloomington, Indiana
University Press, xiii, 306.
Bloemen, H.G., 2002, The relations between wealth
and labour market transitions: An empirical study
for the Netherlands, Journal of Applied
Econometrics, 17(3), 249-68.
Boone, J. and R.A. de Mooij, 2003, Tax policy in a
matching model with training, Oxford Economic
Papers. 55(1), 121-47.
Boswijk, H.P. and A. Lucas, 2002, Semi-nonparamet-
ric cointegration testing, Journal of Econometrics,
108(2), 253-80.
Brink, R., van den, 2002, The Apex power measure
for directed networks, Social Choice and Welfare,
19(4), 845-67.
Brito, M.P., de, and R. Dekker, 2003, Modelling prod-
uct returns in inventory control- exploring the
validity of general assumptions, International
Journal of Production Economics, 81-82(0), 225-41.
Canton, E.J.F., H.L.F. de Groot and R. Nahuis, 2002,
Vested interests, population ageing and technology
adoption, European Journal of Political Economy,
18(4), 631-52.
Carree, M.A., 2003, Technological progress, struc-
tural change and productivity growth: A comment,
Structural Change and Economic Dynamics, 14(1),
109-15.
Carsoule, F. and P.H. Franses, 2003, A note on moni-
toring time-varying parameters in an autoregres-
sion, Metrika, 57(1), 51-62.
Claessens, S., S. Djankov and L. Klapper, 2003,
Resolution of corporate distress in East Asia,
Journal of Empirical Finance, 10(1-2), 199-216.
Claessens, S., et al., 2002, Disentangling the incen-
tive and entrenchment effects of large sharehold-
ings, Journal of Finance, 57(6), 2741-71.
Claessens, S., 2002, A European VAT on financial
services? A discussion, Economic Policy: A European
Forum, 0(35), 526-30.
Davis, J.B., 2002, The emperor’s clothes, Journal of
the History of Economic Thought, 24(2), 141-54.
Davis, J.B., 2002, Capabilities and personal identity:
Using Sen to explain personal identity in Folbre’s
‘Structures of Constraint’ analysis, Review of
Political Economy, 14(4), 481-96.
Davis, J.B, 2003, Regional economic integration, the
environment and community: East Asia and APEC,
International Review of Applied Economics, 17(1),
69-83.
Davis, J.B., 2002, Gramsci, Sraffa, Wittgenstein:
Philosophical linkages, European Journal of the
History of Economic Thought, 9(3), 384-401.
Dijk, F., van, J. Sonnemans and F. van Winden, 2002,
Social ties in a public good experiment, Journal of
Public Economics, 85(2), 275-99.
Diks, C. and S. Manzan, 2002, Tests for serial inde-
pendence and linearity based on correlation inte-
grals, Studies in Nonlinear Dynamics and
Econometrics, 6(2), art. 2.
Fase, M.M.G. and R.C.N. Abma, 2003, Financial envi-
ronment and economic growth in selected Asian coun-
tries, Journal of Asian Economics, 14(1), 11-21.
Ferrer-i-Carbonell, A. and B.M.S. van Praag, 2002,
The subjective costs of health losses due to chronic
diseases: An alternative model for monetary
appraisal, Health Economics. 11(8), 709-22.
Florax, R.J.G.M.; P. Nijkamp and K.G. Willis, eds,
2002, Comparative environmental economic assess-
ment, Cheltenham, U.K. and Northampton, MA,
Elgar; distributed by American International
Distribution Corporation, Williston, VT., xxi, 362.
Fong, K. and M. Martens, 2002, Overnight futures
trading: Now even Australia and US have common
trading hours, Journal of International Financial
Markets, Institutions and Money, 12(2), 167-82.
Forsyth, P., K. Button and P. Nijkamp, eds, 2002,
Elgar Reference Collection. Classics in Transport
Analysis, vol. 2. Cheltenham, U.K. and Northampton,
MA, Elgar; distributed by American International
Distribution Corporation, Williston, VT, xix, 673.
Francois, J. and W. Martin, 2003, Formula approach-
es for market access negotiations, World Economy,
26(1), 1-28.
Garderen, K.J. van and C. Shah, 2002, Exact inter-
pretation of dummy variables in semilogarithmic
equations, Econometrics Journal, 5(1), 149-59.
20
tinbergen magazine 8, fall 2003
Goeree, J.K., 2003, Bidding for the future: Signaling
in auctions with an aftermarket, Journal of
Economic Theory, 108(2), 345-64.
Gondzio, J., R. Kouwenberg, and A.C.F. Vorst, 2003,
Hedging options under transaction costs and
stochastic volatility, Journal of Economic Dynamics
and Control. 27(6), 1045-68.
Gooijer, J.G., de, and A. Vidiella-i-Anguera, 2003,
Nonlinear stochastic inflation modelling using
SEASETARs insurance, Mathematics and Economics,
32(1), 3-18.
Hamelink, Foort, et al., 2002, A comparison of UK
equity and property duration, Journal of Property
Research, 19(1), 61-80.
Hart, J., van der, E. Slagter and D. van Dijk, 2003,
Stock selection strategies in emerging markets,
Journal of Empirical Finance, 10(1-2), 105-32.
Hartog, J., 2002, Desperately seeking structure;
Sherwin Rosen (1938-2001), Economic Journal,
112(483), F519-31.
Hinloopen, J., 2003, Innovation performance across
Europe, Economics of Innovation and New
Technology, 12(2), 145-61.
Hochguertel, S., 2003, Precautionary motives and
portfolio decisions, Journal of Applied Econometrics,
18(1), 61-77.
Hommes, C.H., R. Ramer and C.A. Withagen, eds.,
2002, Equilibrium, markets and dynamics: Essays in
honour of Claus Weddepohl, Heidelberg and New
York, Springer, xv, 344.
Janssen, M.C.W. and V.A. Karamychev, 2002, Cycles
and multiple equilibria in the market for durable
lemons, Economic Theory, 20(3), 579-601.
Kaashoek, J.F. and H.K. van Dijk, Neural network
pruning applied to real exchange rate analysis,
Journal of Forecasting, 2002, 21(8), 559-77.
Kawasaki, Y. and P.H. Franses, 2003, Detecting sea-
sonal unit roots in a structural time series model,
Journal of Applied Statistics, 30(4), 373-87.
Keyzer, M. and L. van Wesenbeeck, 2003, The eco-
nomics of strategic defense, De Economist, 151(1),
119-32.
Klaassen, F., 2002, Improving GARCH volatility fore-
casts with regime-switching GARCH, Empirical
Economics, 27(2), 363-94.
Klaauw, B., van der, and R.H. Koning, 2003, Testing
the normality assumption in the sample selection
model with an application to travel demand, Journal
of Business and Economic Statistics, 21(1), 31-42.
Kleibergen, F., 2002, Pivotal statistics for testing
structural parameters in instrumental variables
regression, Econometrica, 70(5), 1781-1803.
Kleibergen, F. and R. Paap, 2002, Priors, posteriors
and Bayes factors for a Bayesian analysis of cointe-
gration, Journal of Econometrics. 111(2), 223-49.
Kleibergen, F. and E. Zivot, 2003, Bayesian and clas-
sical approaches to instrumental variable regres-
sion, Journal of Econometrics, 114(1), 29-72.
Kluitman, R. and P.H. Franses, 2002, Estimating
volatility on overlapping returns when returns are
autocorrelated, Applied Mathematical Finance, 9(3),
179-88.
Koopman, S.J. and A. Harvey, 2003, Computing
observation weights for signal extraction and filter-
ing, Journal of Economic Dynamics and Control,
27(7), 1317-33.
Koopman, S.J. and E.H. Uspensky, 2002, The
stochastic volatility in mean model: Empirical evi-
dence from international stock markets, Journal of
Applied Econometrics, 17(6), 667-89.
Kovenock, D. and C.G. de Vries, 2002, Fiat exchange
in finite economies, Economic Inquiry, 40(2), 147-57.
Kuosmanen, T. and G.T. Post, 2002, Nonparametric
efficiency analysis under price uncertainty: A first-
order stochastic dominance approach, Journal of
Productivity Analysis. 17(3), 183-200.
Laan, G., van der, and R. van den Brink, 2002, A
Banzhaf share function for cooperative games in
coalition structure, Theory and Decision, 53(1), 61-86.
Lundbergh, S., T. Terasvirta and D. van Dijk, 2003,
Time-varying smooth transition autoregressive
models, Journal of Business and Economic Statistics,
21(1), 104-21.
Martens, M., 2002, Measuring and forecasting S&P
500 Index-futures volatility using high-frequency
data, Journal of Futures Markets, 22(6), 497-518.
Martens, M., Y.C. Chang and S.J. Taylor, 2002, A
comparison of seasonal adjustment methods when
forecasting intraday volatility, Journal of Financial
Research, 25(2), 283-99.
McKinnon, A., K. Button and P. Nijkamp, eds, 2002,
Transport logistics, Elgar Reference Collection.
Classics in Transport Analysis, vol. 5. Cheltenham,
U.K. and Northampton, Mass., Elgar; distributed by
American International Distribution Corporation,
Williston, Vt., xxv, 680.
Mulder, P., H.L.F. de Groot and M.W. Hofkes, 2003,
Explaining slow diffusion of energy-saving tech-
nologies; A vintage model with returns to diversity
and learning-by-using, Resource and Energy
Economics, 25(1), 105-26.
21
tinbergen magazine 8, fall 2003
Neugart, M. and J. Tuinstra, 2003, Endogenous fluc-
tuations in the demand for education, Journal of
Evolutionary Economics. 13(1), 29-51.
Offerman, T., J. Potters and J. Sonnemans, 2002,
Imitation and belief learning in an oligopoly experi-
ment, Review of Economic Studies. 69(4), 973-97.
Pels, E., P. Nijkamp and P. Rietveld, 2003, Access to
and competition between airports: A case study for
the San Francisco Bay Area, Transportation
Research: Part A: Policy and Practice. 37(1), 71-83.
Perotti, E., 2002, Lessons from the Russian melt-
down: The economics of soft legal constraints,
International Finance. 5(3), 359-99.
Perotti, E.C. and E.L. von Thadden, 2003, Strategic
transparency and informed trading: Will capital
market integration force convergence of corporate
governance?, Journal of Financial and Quantitative
Analysis. 38(1), 61-85.
Perotti, E.C. and J. Suarez, 2002, Last bank stand-
ing: What do I gain if you fail?, European Economic
Review. 46(9), 1599-1622.
Pradhan, M., D.E. Sahn and S.D. Younger, 2003,
Decomposing world health inequality, Journal of
Health Economics, 22(2), 271-93.
Pradhan, M. and M. Ravallion, 2003, Who wants safer
streets? Explaining concern for public safety in
Brazil, Journal of Economic Psychology. 24(1), 17-33.
Pradhan, M., L.B. Rawlings, 2002, The Impact and
Targeting of Social Infrastructure Investments:
Lessons from the Nicaraguan Social Fund, World
Bank Economic Review. 16(2), 275-95.
Ranasinghe, A. and J. Hartog, 2002, Free education
in Sri Lanka: Does it eliminate the family effect?,
Economics of Education Review, 21(6), 623-33.
Rouwendal, J., et al, 2002, A stochastic model of
congestion caused by speed differences, Journal of
Transport Economics and Policy. 36(3), 407-45.
Sandor, Z. and M. Wedel, 2002, Profile construction
in experimental choice designs for mixed logit
models, Marketing Science, 21(4), 455-75.
Schinkel, M.P., J. Tuinstra and D. Vermeulen, 2002,
Convergence of Bayesian learning to general equi-
librium in Mis-specified models, Journal of
Mathematical Economics. 38(4), 483-508.
Schipper, Y., P. Rietveld and P. Nijkamp, 2002,
European airline reform: An empirical welfare anal-
ysis, Journal of Transport Economics and Policy.
36(2), 189-209.
Tuinstra, J., 2003, Beliefs equilibria in an overlap-
ping generations model, Journal of Economic
Behavior and Organization. 50(2), 145-64.
Ubbels, B., P. Rietveld and P. Peeters, 2002,
Environmental effects of a kilometre charge in road
transport: An investigation for the Netherlands,
Transportation Research: Part D: Transport and
Environment, 7(4), 255-64.
Verwaal, E. and B. Donkers, 2002, Firm size and
export intensity: Solving an empirical puzzle, Journal
of International Business Studies, 33(3), 603-13.
Viaene, J.M., 2002, Delocation and European integra-
tion: Is structural spending justified? Discussion,
Economic Policy: A European Forum, 0(35), 353-54.
Wagener, F.O.O., 2003, Skiba points and Heteroclinic
bifurcations, with applications to the Shallow Lake
System, Journal of Economic Dynamics and Control.
27(9), 1533-61.
M. Wedel, 2002, Profile construction in experimen-
tal choice designs for mixed logit models,
Marketing Science, 21(4), 455-75.
22
tinbergen magazine 8, fall 2003
Discussion papers
Institutions and decision processes
03-010/1
Cars Hommes, Joep Sonnemans, Jan Tuinstra, Henk
van de Velden, CeNDEF, Universiteit van Amsterdam,
Coordination of Expectations in Asset Pricing
Experiments
03-011/1
Ioulia V. Ossokina, Otto H. Swank, Erasmus
Universiteit Rotterdam, Environmental Policy Choice
under Uncertainty
03-017/1
Maarten C.W. Janssen, Erasmus Universiteit
Rotterdam, Auctions as Collusion Devices
03-020/1
Cars Hommes, Joep Sonnemans, Jan Tuinstra, Henk
van de Velden, Universiteit van Amsterdam, Learning
in Cobweb Experiments
03-021/1
Otto H. Swank, Bauke Visser, Erasmus Universiteit
Rotterdam, The Consequences of Endogenizing
Information for Herd Behavior
03-033/1
Maarten C.W. Janssen, Vladimir A. Karamychev, Peran
van Reeven, Erasmus Universiteit Rotterdam, Multi-
Store Competition: Market Segmentation or Interlacing?
03-034/1
Hendrik P. van Dalen, OCFEB, Erasmus Universiteit
Rotterdam, and NIDI, The Hague, Pluralism in
Economics: A Public Good or a Public Bad?
03-035/1
Andrea Galeotti, José Luis Moraga-, Erasmus
Universiteit Rotterdam, Strategic Targeted Advertising
03-041/1
Sanjeev Goyal, University of Essex and Erasmus
Universiteit Rotterdam, Alexander Konovalov, and
José Luis Moraga- González, Erasmus Universiteit
Rotterdam, Hybrid R&D
03-043/1
Joep Sonnemans, Universiteit van Amsterdam, Price
Clustering and Natural Resistance Points in the Dutch
Stock Market
03-055/1
Simon Gächter, CESifo and University of St Gallen,
and Arno Riedl, Universiteit van Amsterdam, Moral
Property Rights in Bargaining with Infeasible Claims
03-056/1
Ronald Bosman, De Nederlandsche Bank, Amsterdam,
and Arno Riedl, Universiteit van Amsterdam, Emotions
and Economic Shocks in a First-Price Auction
03-058/1
Arno Riedl and Frans van Winden, CREED,
Universiteit van Amsterdam, Input versus Output
Taxation in an Experimental International Economy
03-065/1
Arno Riedl, CREED, Universiteit van Amsterdam, and
Jean-Robert Tyran, University of St. Gallen, Tax Liability
Side Equivalence in Gift-Exchange Labor Markets
03-066/1
Hendrik P. van Dalen, Aico P. van Vuuren, Erasmus
Universiteit Rotterdam, Greasing the Wheels of Trade
03-067/1
Otto H. Swank, Bauke Visser, Erasmus Universiteit
Rotterdam, Do Elections Lead to Informed Public
Decisions?
Financial and InternationalMarkets
03-015/2
Ruta Aidis, Universiteit van Amsterdam,
Entrepreneurship and Economic Transition
03-016/2
Menno Pradhan, Vrije Universiteit Amsterdam and
World Bank, Jakarta, Fadia Saadah, World Bank,
Jakarta, and Robert Sparrow, Vrije Universiteit
Amsterdam, Did the Healthcard Program ensure
Access to Medical Care for the Poor during Indonesia’s
Economic Crisis?
03-028/2
Patrick Houweling, Albert Mentink, Erasmus
Universiteit Rotterdam and Aegon Asset
Management, and Ton Vorst, Erasmus Universiteit
Rotterdam and ABN-Amro, Valuing Euro Rating-
Triggered Step-Up Telecom Bonds
03-029/2
Paul A. de Hek, Erasmus Universiteit Rotterdam, On
Taxation in a Two-Sector Endogenous Growth Model
with Endogenous Labor Supply
03-030/2
Patrick Houweling, Albert Mentink, Ton Vorst,
Erasmus Universiteit Rotterdam, How to Measure
Corporate Bond Liquidity?
03-032/2
Leon J.H. Bettendorf, D. Peter Broer, OCFEB, Erasmus
Universiteit Rotterdam, Life-time Labor Supply in a
Search Model of Unemployment
03-037/2
Albert J. Menkveld, Siem Jan Koopman and André
Lucas, Vrije Universiteit Amsterdam, Round-the-Clock
Price Discovery for Cross-Listed Stocks: US-Dutch
Evidence
23
tinbergen magazine 8, fall 2003
03-053/2
Jan Marc Berk, De Nederlandsche Bank and Vrije
Universiteit Amsterdam, and Beata K. Bierut, Erasmus
Universiteit Rotterdam, Committee Structure and its
Implications for Monetary Policy Decision-making
03-054/2
Joseph Francois, Erasmus Universiteit Rotterdam
and CEPR, and Gunnar Niels, OXERA and Erasmus
Universiteit Rotterdam, Business Cycles, the Current
Account, and Administered Protection in Mexico
03-060/2
Joseph Francois, Erasmus Universiteit Rotterdam
and CEPR, H. van Meijl, and F. van Tongeren, LEI,
Wageningen University and Research Centre, Trade
Liberalization and Developing Countries under the
Doha Round
03-062/2
Siem Jan Koopman, André Lucas, Vrije Universiteit
Amsterdam, Business and Default Cycles for Credit Risk
03-068/2
Chris Elbers, Jan-Willem Gunning and Bill Kinsey,
Vrije Universiteit Amsterdam, Growth and Risk:
Methodology and Micro Evidence
Labour, Region and Environment
03-013/3
Carla Sá, Raymond J.G.M. Florax and Piet Rietveld,
Vrije Universiteit Amsterdam, Determinants of the
Regional Demand for Higher Education
03-014/3
Niels Bosma and Gerrit de Wit, EIM Business and
Policy Research, Zoetermeer, and Martin Carree,
University of Maastricht and Erasmus Universiteit
Rotterdam, Modelling Entrepreneurship
03-018/3
Bernard M.S. van Praag and Adam S. Booij,
Universiteit van Amsterdam, Risk Aversion and the
Subjective Time Discount Rate: A Joint Approach
03-019/3
Henri L.F. de Groot, Vrije Universiteit Amsterdam,
Peter Mulder, Institute for Environmental Studies,
Vrije Universiteit Amsterdam, and Daan P. van Soest,
Tilburg University, Subsidizing the Adoption of
Energy-Saving Technologies: Analyzing the Impact of
Uncertainty, Learning and Maturation
03-022/3
Galit Cohen-Blankenstain, Harvard University, and
Peter Nijkamp, Vrije Universiteit Amsterdam, The
Appreciative System of Urban ICT Policies
03-023/3
Galit Cohen-Blankenstain, Harvard University, Peter
Nijkamp and Kees van Montfort, Vrije Universiteit
Amsterdam, Modeling ICT Perceptions and Views of
Urban Front Liners
03-024/3
Robert A.J. Dur and Coen N. Teulings, Erasmus
Universiteit Rotterdam, Are Education Subsidies an
Efficient Redistributive Device?
03-025/3
Mark J. Koetse, Arno J. van der Vlist and Henri L.F.
de Groot, Vrije Universiteit Amsterdam, Investment,
Expectations and Uncertainty: Empirical Evidence on
the Relevance of Firm Size
03-026/3
Pieter A. Gautier and Coen N. Teulings, Erasmus Uni-
versiteit Rotterdam, How Large are Search Frictions?
03-027/3
Erik T. Verhoef and Jan Rouwendal, Vrije Universiteit
Amsterdam, Pricing, Capacity Choice and Financing
in Transportation Networks
03-036/3
Piet Rietveld, Vrije Universiteit Amsterdam,
Valuation of Travel Time and TravelIer Information
03-038/3
Judith Y.T. Wang and Hai Yang, Hong Kong University
of Science and Technology, and Erik T. Verhoef, Vrije
Universiteit Amsterdam, Strategic Interactions of
Bilateral Monopoly on a Private Highway
03-039/3
Bernadette Power, University of St. Andrews, Fife,
UK, and Gavin C. Reid, University College Cork,
Ireland, Flexibility, Firm-Specific Turbulence and the
Performance of the Long-lived Small Firm
03-042/3
Maarten Lindeboom, Vrije Universiteit Amsterdam
and IZA, and Eddy van Doorslaer, Erasmus
Universiteit Rotterdam, Cut-point Shift and Index
Shift in Self-reported Health
03-044/3
Henri L.F. de Groot, Gert-Jan Linders and Piet Rietveld,
Vrije Universiteit Amsterdam, and Uma Subramanian,
World Bank, Washington, The Institutional
Determinants of Bilateral Trade Patterns
03-046/3
Justin van der Sluis and Mirjam van Praag,
Universiteit van Amsterdam, and Wim Vijverberg,
University of Texas at Dallas and IZA,
Entrepreneurship Selection and Performance
03-047/3
C. Mirjam van Praag, Universiteit van Amsterdam,
Gerrit de Wit and Niels Bosma, EIM, Zoetermeer,
Initial Capital Constraints Hinder Entrepreneurial
Venture Performance
03-048/3
Marco van Herpen, University of Groningen and the
Boston Consulting Group, C. Mirjam van Praag,
Universiteit van Amsterdam, and Kees Cools,
24
tinbergen magazine 8, fall 2003
University of Groningen and the Boston Consulting
Group, The Effects of Performance Measurement and
Compensation on Motivation
03-049/3
Kees Cools, University of Groningen, The Boston
Consulting Group, and C. Mirjam van Praag,
Universiteit van Amsterdam, The Value Relevance of
Disclosing a Single Corporate Target
03-050/3
C. Mirjam van Praag, Universiteit van Amsterdam,
Business Survival and Success of Young Small
Business Owners
03-051/3
Kees Cools, Groningen University and the Boston
Consulting Group, C. Mirjam van Praag, Universiteit
van Amsterdam, The Value Relevance of Forced Top
Management Departures
03-59/3
Hendrik P. van Dalen, OCFEB, Erasmus Universiteit
Rotterdam, George Groenewold and Jeanette J.
Schoorl, Netherlands Interdisciplinary Demographic
Institute, Out of Africa: What Drives the Pressure to
Emigrate?
03-061/3
Thomas de Graaff and Piet Rietveld, Vrije
Universiteit Amsterdam, ICT and Substitution
between Out-of-home and At-home work; the
Importance of Timing
03-063/3
Rafael Lalive, IEW, University of Zürich, IZA, and
CESifo, Social Interactions in Unemployment
03-064/3
Erik T. Verhoef, Vrije Universiteit Amsterdam,
Speed-Flow Relations and Cost Functions for
Congested Traffic: Theory and Empirical Analysis
Econometrics
03-012/4
Eric Porras Musalem and Rommert Dekker, Erasmus
Universiteit Rotterdam, Controlling Inventories in a
Supply Chain
03-031/4
Rob Luginbuhl and Siem Jan Koopman, Vrije
Universiteit Amsterdam, Convergence in European
GDP Series
03-040/4
Sanjeev Sridharan, Westat, Rockville, MD, USA,
Suncica Vujic and Siem Jan Koopman, Vrije
Universiteit Amsterdam, Intervention Time Series
Analysis of Crime Rates
03-052/4
Siem Jan Koopman and Joao Valle e Azevedo, Vrije
Universiteit Amsterdam, Measuring Synchronisation
and Convergence of Business Cycles
03-057/4
Felisa J. Vazquez-Abad, Université de Montreal, and
Bernd Heidergott, Vrije Universiteit Amsterdam,
Gradient Estimation for a Class of Systems with Bulk
Services: A Problem in Public Transportation
03-069/4
Joao Valle e Azevedo and Siem Jan Koopman, Vrije
Universiteit Amsterdam, and Antonio Rua, Banco de
Portugal, Lisboa, Tracking Growth and the Business
Cycle: a Stochastic Common Cycle Model for the
Euro Area
We valueyour input
please send us an e-mail
• if you have address changes• if you would like to order discussion papers or to subscribe to e-mail
notices of new discussion papers (please indicate in your e-mail those areas in which you are interested): • Institutions and Decision Analysis• Financial and International Markets• Labour, Region and the Environment • Econometrics and Operations Research
Thank you.
e-mail: [email protected]
http://www.tinbergen.nl
25
tinbergen magazine 8, fall 2003
Colophon
Tinbergen Magazine is published by
the Tinbergen Institute, an economic
research institute operated jointly by
the Economics and Econometrics
faculties of three Dutch universities:
Erasmus Universiteit Rotterdam,
Universiteit van Amsterdam and Vrije
Universiteit Amsterdam. Tinbergen
Magazine highlights on-going
research at the Tinbergen Institute
and is published twice a year.
PhotographsHenk Thomas, AmsterdamLevien Willemse, Rotterdam
Editorial servicesJB Editing, Breda
DesignCrasborn Grafisch Ontwerpers bno, Valkenburg a.d. Geul
PrintingDrukkerij Tonnaer, Kelpen
ISSN 1566-3213
AddressesTinbergen Institute AmsterdamRoetersstraat 311018 WB AmsterdamThe Netherlands
Telephone: +31 (0)20 551 3500Fax: +31 (0)20 551 3555
Tinbergen Institute RotterdamBurg. Oudlaan 503062 PA RotterdamThe Netherlands
Telephone: +31 (0)10 408 8900Fax: +31 (0)10 408 9031
e-mail: [email protected]
http://www.tinbergen.nl
26
tinbergen magazine 8, fall 2003
Tinbergen Research InstituteFour themes distinguish Tinbergen
Institute’s research programme:I. Institutions and Decision AnalysisII. Financial and International MarketsIII. Labour, Region and the EnvironmentIV. Econometrics and Operations Research
Each theme covers the whole spectrumof economic analysis, from theoretical to empirical research. Stimulating discussionson theories, methodologies and empiricalresults arise from the interaction of theInstitute’s faculty–comprised of approximate-ly 96 research fellows. These fellows are fac-ulty members with excellent track records ineconomic research, active in organisingresearch activities, teaching graduate coursesand supervising Ph.D. students.
Discussion PapersResearch is pre-published in the insti-
tute’s own Discussion Paper Series.Download discussion papers athttp://www.tinbergen.nl (section ‘Publications’).E-mail address for correspondence:[email protected]
Tinbergen Graduate SchoolThe Tinbergen Graduate School enrols
about 115 students.
Tinbergen Institute’s Master’s pro-gramme is an intensive two-year programmeleading to a Master of Philosophy degree ineconomics. The programme is part of a five-year Ph.D. programme in economics, but canalso serve as an excellent preparation forstudents who are aiming for a career in con-sulting or policy advice organisations.
The master’s programme offers highquality academic training in economics andeconometrics. The teaching staff is selectedfrom the faculty of the three economics fac-ulties of the participating universities.Foreign experts also teach in the programme.
Core courses are offered in the follow-ing: microeconomics, macroeconomics, math-ematics for economists, econometrics,advanced econometrics, and organisation.Specialised courses are offered in the follow-ing: international trade and development,monetary economics, finance, labour eco-nomics, public economics, microeconomictheory and game theory.
Successful completion of the M.Phil.programme gives the student the opportuni-ty to round off his or her studies with aPh.D. thesis in the next three years.
For information on admission require-ments, application procedure, and scholar-ships, visit http://www.tinbergen.nl, orcontact [email protected].
BoardA.G.Z. Kemna (Chair), J.-W. Gunning, J. Hartog, J.J.M. Kremers, C.G. de Vries.
General DirectorC.N. Teulings
Director of Graduate StudiesM. Lindeboom
Research Programme Co-ordinatorsInstitutions and Decision Analysis:J.K. Goeree, G. van der LaanFinancial Economics and InternationalMarkets:C.A.M.F. Claessens, C.G. de VriesLabour, Region and the Environment:J.C.J.M. van den Bergh, H. OosterbeekEconometrics:R. Dekker, S.J. Koopman
Scientific Council D.W. Jorgenson (Harvard University,
Chair), M. Dewatripont (CORE), P. de Grauwe(Leuven University), D.F. Hendry (OxfordUniversity), R.C. Merton (Harvard University),D. Mortensen (Northwestern University),S. Nickell (Oxford University), T. Persson(Stockholm University), L. Wolsey (CORE)
Social Advisory CouncilC.A.J. Herkströter (Chair), R.G.C. van
den Brink (ABN-AMRO), H.J. Brouwer (DNB),M.J. Cohen (Mayor of Amsterdam), F.J.H. Don(CPB), C. Maas (ING), F.A. Maljers, I.W. Opstelten (Mayor of Rotterdam), A.H.G. Rinnooy Kan (ING), H. Schreuder (DSM),R.J. in ’t Veld, P.J. Vinken, L.J. de Waal (FNV)
Editorial Board Tinbergen MagazineB. Bierut, T.R. Daniëls, A Galeotti, R.H.J.
Mosch, A.P.C. van der Ploeg, C.N. Teulings
Previous membersJ.-P. Boselie, D. Brounen, M. Bun,
J. Dalhuisen, B. Hof, S. Manzan, E. Mendys.
How to subscribe?Address for correspondence/
subscriptions:Tinbergen Institute RotterdamBurg. Oudlaan 503062 PA Rotterdamthe Netherlands. E-mail: [email protected] changes may be sent to the above e-mail address.