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Multinational Firms and Oil Contract Negotiationsin Latin America
Xander Slaski
Princeton University
November 14, 2015
Xander Slaski — Princeton University
Research Question and Motivation
1 What determines the bargaining power of Latin Americangovernments vis-a-vis multinational oil firms?
2 Petroleum contracts as measure of bargaining power
3 Main findings: Economic factors and the quality of thenational oil company matter, but corruption has the largestinfluence
Xander Slaski — Princeton University
The Puzzle
Vaca Muerta oil field in Patagonia: massive oil and gasreserves
Cristina Kirchner asked Chevron to develop field less than twoyears after nationalizing YPF
Benefits for Chevron: special exemptions on prices, allowedChevron to sell twenty percent of its production abroadwithout paying export taxes or repatriating profits, intervenedin an Argentine Supreme Court case
Xander Slaski — Princeton University
Oil Contracts as Measure of Bargaining Power
Operationalizing bargaining power between states and firmsremains a challenge
Stopford and Strange (1991): “how powerful themultinationals have become is a notoriously difficult questionto answer”
Malesky (2009) finds that foreign direct investment has asignificant impact on economic reforms in developing countries
Desbordes and Vauday (2007) use WBES data to show thatfirms are able to extract better deals from developing countrygovernments
Previous literature on obsolescing bargain (Vernon 1971)
Xander Slaski — Princeton University
Implications for Resource Curse Literature and DependencyTheory
Resource curse: when do states get financial flows fromextractive industries?
Implications for a wide array of other extractive industries andstate-firm negotiations more broadly
Dependency theory: bargaining power favored developedcountries in the core at the the expense of those in theperiphery (Moran 1978, Bierstecker 1981, Cardoso and Faletto1979, Frank 1970, Valenzuela and Valenzuela 1978, Barnetand Muller 1974)
Determining the sources of bargaining power is an empiricalquestion (Cohen 2007, Moran 2006)
Xander Slaski — Princeton University
The Legacy of Multinational Firms in Latin America
Important role for MNCs in Latin American economies andpolitical systems
Latin American economies are highly dependent oncommodities, including oil, and business is important (Ross2001, Dunning 2008, Karl 1997, Karcher and Ross Schneider2012, Ross Schneider 2013, Pinto, Murillo and Schrank 2014)
Implications for democratic responsiveness: others looked atpolicy switches (Stokes 2001)
Influence of international economic forces: Campello (2015)argues that leaders have greater autonomy in redistributionwhen commodity prices are high
Xander Slaski — Princeton University
Multinationals in the Oil Sector
Oil is fungible and the single most traded global commodity
Massive size of oil and gas companies, NOCs and MNCs
Nationalization and privatization: national or semi-nationalcompanies
Controls for differences in capital and labor-intensiveness thatwould complicate cross-sectoral analyses
Small set of international firms, controlling for variation acrosscompanies and management
Xander Slaski — Princeton University
Conceptualizing Bargaining Power
Negotiations between international firms and states areinherently conflictual: firms and states both want to divide arelatively fixed profit
Oil prices are key: determines sharable profits
Xander Slaski — Princeton University
Three Main Causal Mechanisms
Economic Performance The degree to which the countryhas other options to spur economic growth determines itsneed for investment and its willingness to accept a smallershare of oil rents
Political Institutions States with more corruption or vetoplayers are likely to have more opportunities for bribery orpolitical capture
Petroleum Resources: A state with a strong national oilcompany is less likely to need the technical expertise of aforeign oil company, ensuring that the terms of the deal donot too heavily favor the MNC
Xander Slaski — Princeton University
Hypotheses
H1 Economic strength hypothesis: States with lower per capitaGDP, lower growth, higher inequality, higher unemployment,higher debt, higher energy imports or fewer currency reserveswill have less favorable contract terms
H2 Political capture hypothesis: Fewer constraints on theexecutive and higher political risk or higher corruption willlead to less favorable deals
H3 Petroleum expertise hypothesis: A less technicallyexperienced national oil company, greater reliance onresources, or lower reserves will lead to less favorable oil deals
Xander Slaski — Princeton University
Variables and Data
The primary independent variable is Oilt , the world price of oilin year t (I use Brent)
The dependent variable, Dealit , is an index of the terms of theoil contracts for country i in year t: Amount flowing to state /total revenue of field
Country-year-oilfield contract level data, available from2003-2014
This data comes from Wood Mackenzie, an oil and gasconsulting firm
Xander Slaski — Princeton University
Methodological Plan
1 Data on oil prices comes from the BP Statistical Yearbook.
2 I use annual data from the Centre for Research on theEpidemiology of Disasters to instrument for the annual priceof oil. As does Ramsay, I use only out of region accidents (allregions except Caribbean, Central and South America)
3 Amelia II package in R to impute missing data
Xander Slaski — Princeton University
Oil Producers in Latin America
Only a small number of countries in Latin America are majorproducers of oil, and among those, Venezuela, Mexico, Brazil areby far the largest producers in international terms
more than 5 % GDP from oil less than 5% GDP from oil> 2 bbl Mexico, Brazil, Venezuela Argentina< 2 bbl Colombia, Ecuador Chile, Paraguay, Uruguay,
Bolivia, Belize, Suriname most of central America
Xander Slaski — Princeton University
National-level Economic Characteristics
1 Per capita GDP (in current US dollars)
2 Annual percent growth in GDP
3 Inequality (Gini Index)
4 Unemployment
5 External debt, total private and public
6 Currency Reserves
Xander Slaski — Princeton University
Institutional Variables
1 Political constraints on executive (from Henisz 2000)
2 Composite political risk rating, risk rating (InternationalCountry Risk Guide)
3 Corruption from the Corruption Perceptions index (fromTransparency International)
Xander Slaski — Princeton University
Petroleum Resource Variables
1 Technical expertise of firms (Moodys rating of NOC)
2 Resource dependence (percent of GDP from oil rents)
3 Private energy investment
4 Proven reserves (in thousand million barrels, from BP’sAnnual Statistical Review)
5 Energy Imports (percent of GDP from WDI/IMF Data)
Xander Slaski — Princeton University
Methodological Plan
The instrument is determined by: Oilt = αt + Accidentst + εt
The exclusion restriction requires that:cov(Accidentst ,Dealit = 0)
and that it is uncorrelated with the covariates (other than oil)cov(Accidentst , εt |Xit) = 0
here Xit is the set of covariates listed above, excluding oil prices
The instrument satisfies the exogeneity restriction in that accidentsare plausibly unrelated to negotiations in Latin America, exceptthrough changes in the price of oil
Xander Slaski — Princeton University
Full Model
Dealitj = αitj + Oilt + Xit + Oilt ∗ Xit + εitj
Where Xit is a matrix of economic and political covariates forcountry i in year t for oilfield j .
Interaction terms (Oili ∗ Xit) of central importance
The non-interaction terms serve as as controls
I also include country fixed effects
Xander Slaski — Princeton University
In addition to the basic and full models, I run three alternativemodels:
1 An economic model, which includes only the variables oneconomic performance
2 An institutional model, which includes only the variables onpolitical institutions
3 An a petroleum resources model, which includes only thevariables measuring the domestic petroleum economy
Xander Slaski — Princeton University
Economic Model: Instrumented
Table: Economic Model: Instrumented
State Take of OIl Rents:
GDP Per Capita 4.391∗∗∗ (0.436)Economic Growth −0.504 (0.434)Inequality (Gini Index) 0.246∗∗ (0.107)Unemployment −0.382 (0.373)Currency Reserves −0.068∗∗∗ (0.017)FDI as percent of GDP 1.937∗∗∗ (0.225)Instrumented Oil Price (Brent) 1.010∗∗∗ (0.093)GDP Per Capita x Instrumented Oil Price (Brent) −0.056∗∗∗ (0.006)Economic Growth x Instrumented Oil Price (Brent) 0.013∗∗ (0.006)Inequality (Gini Index) x Instrumented Oil Price (Brent) −0.001 (0.001)Unemployment x Instrumented Oil Price (Brent) 0.002 (0.005)Currency Reserves x Instrumented Oil Price (Brent) 0.001∗∗∗ (0.0002)FDI as percent of GDP x Instrumented Oil Price (Brent) −0.026∗∗∗ (0.003)Constant −12.593∗∗ (5.024)
Observations 4,881
R2 0.507
Adjusted R2 0.504Residual Std. Error 12.018 (df = 4857)F Statistic 217.020∗∗∗ (df = 23; 4857)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Political Model: Instrumented
Table: Political Model: Instrumented
State Take of Oil Contracts:
Political Constraints −10.434 (8.259)Political Risk Index 0.665∗∗∗ (0.166)Corruption Rating 15.916∗∗∗ (1.631)Instrumented Oil Price (Brent) 0.604∗∗∗ (0.170)Political Constraints x Instrumented Oil Price (Brent) 0.294∗∗∗ (0.112)Political Risk Index x Instrumented Oil Price (Brent) −0.005∗∗∗ (0.002)Corruption Rating x Instrumented Oil Price (Brent) −0.092∗∗∗ (0.021)Constant 9.049 (9.070)
Observations 4,881
R2 0.504
Adjusted R2 0.502Residual Std. Error 12.050 (df = 4863)F Statistic 290.150∗∗∗ (df = 17; 4863)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Oil Resources Model: Instrumented
Table: Oil Resources Model: Instrumented
State Take of Oil Contracts:
Energy Imports (Percent of Economy) −0.001 (0.013)Percent Economy from Oil −0.827∗∗∗ (0.288)Private Energy Investment −0.112 (0.507)Oil Reserves 0.137 (0.130)Moodys Rating of National Oil Company 0.034 (1.273)Instrumented Oil Price (Brent) −0.008 (0.095)Energy Imports (Percent of Economy) x Instrumented Oil Price (Brent) 0.0002 (0.0002)Percent Economy from Oil x Instrumented Oil Price (Brent) 0.023∗∗∗ (0.004)Private Energy Investment x Instrumented Oil Price (Brent) 0.002 (0.007)Oil Reserves x Instrumented Oil Price (Brent) −0.002 (0.002)Moodys Rating of National Oil Company x Instrumented Oil Price (Brent) −0.013 (0.017)Constant 41.659∗∗∗ (5.136)
Observations 4,881
R2 0.516
Adjusted R2 0.514Residual Std. Error 11.899 (df = 4859)F Statistic 246.988∗∗∗ (df = 21; 4859)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Full Model: Instrumented
State Take of Oil Contracts:
GDP Per Capita −0.144 (0.159)Economic Growth −1.110∗∗ (0.500)Inequality (Gini Index) 2.597∗ (1.334)Unemployment −3.229 (2.040)Currency Reserves 0.101∗∗∗ (0.039)FDI as percent of GDP 2.625∗∗∗ (0.439)Political Constraints −78.881∗∗∗ (17.466)Political Risk Rating 1.404∗∗∗ (0.438)Corruption Rating −28.710∗∗∗ (10.116)Energy Imports 0.099∗∗ (0.045)Percent Economy from Oil 0.197 (0.594)Private Energy Investment 5.058∗∗ (2.061)Oil Reserves −0.795∗∗ (0.373)Moodys Rating of National Oil Company −22.158∗∗∗ (7.328)Instrumented Oil Price (Brent) −0.951∗∗ (0.371)Economic Growth x Instrumented Oil Price (Brent) 0.018∗∗ (0.007)Inequality (Gini) x Instrumented Oil Price (Brent) −0.027 (0.018)Unemployment x Instrumented Oil Price (Brent) 0.035 (0.028)Currency Reserves x Instrumented Oil Price (Brent) −0.002∗∗∗ (0.001)FDI as percent of GDP x Instrumented Oil Price (Brent) −0.035∗∗∗ (0.006)Political Constraints x Instrumented Oil Price (Brent) 1.375∗∗∗ (0.235)Political Risk Rating x Instrumented Oil Price (Brent) −0.018∗∗∗ (0.006)Corruption x Instrumented Oil Price (Brent) 0.567∗∗∗ (0.138)Energy Imports x Instrumented Oil Price (Brent) −0.001 (0.001)Percent Economy from Oil x Instrumented Oil Price (Brent) 0.012 (0.008)Private Energy Investment x Instrumented Oil Price (Brent) −0.061∗∗ (0.028)Oil Reserves x Instrumented Oil Price (Brent) 0.010∗∗ (0.005)Moodys Rating of National Oil Company x Instrumented Oil Price (Brent) 0.275∗∗∗ (0.100)Constant 91.965∗∗∗ (19.771)
Observations 4,881
R2 0.558
Adjusted R2 0.555Residual Std. Error 11.389 (df = 4842)F Statistic 161.125∗∗∗ (df = 38; 4842)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Comparative Statics: GDP Per Capita
10 15 20
1618
2022
2426
2830
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and GDP Per Capita on State Take from Oil Contracts Oil prices ($40 to $100), GDP Per Capita ($2k and $10k)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Economic Growth (-2 % vs. 10%)
18 19 20 21 22 23 24 25
0.0
0.2
0.4
Predicted Values: Y|X
23 24 25 26 27
0.0
0.4
Predicted Values: Y|X1
18 19 20 21 22 23 24 25
0.0
0.2
0.4
Expected Values: E(Y|X)
23 24 25 26 27
0.0
0.4
Expected Values: E(Y|X1)
0 2 4 6 8
0.00
0.25
First Differences: E(Y|X1) − E(Y|X)
18 20 22 24 26
0.0
0.3
0.6
Comparison of Y|X and Y|X1
18 20 22 24 26
0.0
0.3
0.6
18 20 22 24 26
0.0
0.3
0.6
Comparison of E(Y|X) and E(Y|X1)
18 20 22 24 26
0.0
0.3
0.6
Xander Slaski — Princeton University
Comparative Statics: Inequality (40 vs 60 Gini Index)
20 30 40 50 60
0.00
0.05
Predicted Values: Y|X
21 22 23 24 25
0.0
0.4
Predicted Values: Y|X1
20 30 40 50 60
0.00
0.05
Expected Values: E(Y|X)
21 22 23 24 25
0.0
0.4
Expected Values: E(Y|X1)
−30 −20 −10 0 10
0.00
0.04
First Differences: E(Y|X1) − E(Y|X)
20 30 40 50 60
0.00
0.20
Comparison of Y|X and Y|X1
20 30 40 50 60
0.00
0.20
20 30 40 50 60
0.00
0.20
Comparison of E(Y|X) and E(Y|X1)
20 30 40 50 60
0.00
0.20
Xander Slaski — Princeton University
Comparative Statics: Unemployment (5 % vs 15%)
10 15 20 25 30
0.00
0.08
Predicted Values: Y|X
20 22 24 26 28 30
0.00
0.20
Predicted Values: Y|X1
10 15 20 25 30
0.00
0.08
Expected Values: E(Y|X)
20 22 24 26 28 30
0.00
0.20
Expected Values: E(Y|X1)
−10 −5 0 5 10 15 20
0.00
0.06
First Differences: E(Y|X1) − E(Y|X)
10 15 20 25 30
0.00
0.20
Comparison of Y|X and Y|X1
10 15 20 25 30
0.00
0.20
10 15 20 25 30
0.00
0.20
Comparison of E(Y|X) and E(Y|X1)
10 15 20 25 30
0.00
0.20
Xander Slaski — Princeton University
Comparative Statics: Currency Reserves (10 billion vs 150billion
22 23 24 25 26 27
0.0
0.4
Predicted Values: Y|X
18 20 22 24
0.00
0.25
Predicted Values: Y|X1
22 23 24 25 26 27
0.0
0.4
Expected Values: E(Y|X)
18 20 22 24
0.00
0.25
Expected Values: E(Y|X1)
−8 −6 −4 −2 0
0.00
0.25
First Differences: E(Y|X1) − E(Y|X)
18 20 22 24 26
0.0
0.4
Comparison of Y|X and Y|X1
18 20 22 24 26
0.0
0.4
18 20 22 24 26
0.0
0.4
Comparison of E(Y|X) and E(Y|X1)
18 20 22 24 26
0.0
0.4
Xander Slaski — Princeton University
Comparative Statics: Moodys Rating of NOC (3 to 7)
15 20 25 30 35 40
0.00
0.06
Predicted Values: Y|X
15 20 25 30
0.00
0.10
Predicted Values: Y|X1
15 20 25 30 35 40
0.00
0.06
Expected Values: E(Y|X)
15 20 25 30
0.00
0.10
Expected Values: E(Y|X1)
−30 −20 −10 0 10 20
0.00
0.04
First Differences: E(Y|X1) − E(Y|X)
10 15 20 25 30 35 40
0.00
0.10
Comparison of Y|X and Y|X1
10 15 20 25 30 35 40
0.00
0.10
10 15 20 25 30 35 40
0.00
0.10
Comparison of E(Y|X) and E(Y|X1)
10 15 20 25 30 35 40
0.00
0.10
Xander Slaski — Princeton University
Comparative Statics: Oil Reserves (1 bbl to 5 bbl)
15 20 25 30 35
0.00
0.08
Predicted Values: Y|X
15 20 25 30 35
0.00
0.08
Predicted Values: Y|X1
15 20 25 30 35
0.00
0.08
Expected Values: E(Y|X)
15 20 25 30 35
0.00
0.08
Expected Values: E(Y|X1)
−1.0 −0.5 0.0 0.5 1.0
0.0
0.6
1.2
First Differences: E(Y|X1) − E(Y|X)
15 20 25 30 35
0.00
0.08
Comparison of Y|X and Y|X1
15 20 25 30 35
0.00
0.08
15 20 25 30 35
0.00
0.08
Comparison of E(Y|X) and E(Y|X1)
15 20 25 30 35
0.00
0.08
Xander Slaski — Princeton University
Comparative Statics: Resource Reliance
10 15 20
510
1520
2530
35
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Resource Reliance on State Take from Oil Contracts Oil prices ($40 to $100), Percent Economy from Oil Rents (2% to 15%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Political Constraints (.2 to .8)
20 21 22 23 24
0.0
0.4
Predicted Values: Y|X
30 35 40
0.00
0.15
Predicted Values: Y|X1
20 21 22 23 24
0.0
0.4
Expected Values: E(Y|X)
30 35 40
0.00
0.15
Expected Values: E(Y|X1)
5 10 15 20
0.00
0.15
First Differences: E(Y|X1) − E(Y|X)
20 25 30 35 40
0.0
0.4
Comparison of Y|X and Y|X1
20 25 30 35 40
0.0
0.4
20 25 30 35 40
0.0
0.4
Comparison of E(Y|X) and E(Y|X1)
20 25 30 35 40
0.0
0.4
Xander Slaski — Princeton University
Comparative Statics: Political Risk (50 to 80)
18 20 22 24 26
0.00
0.25
Predicted Values: Y|X
20 25 30
0.00
0.15
Predicted Values: Y|X1
18 20 22 24 26
0.00
0.25
Expected Values: E(Y|X)
20 25 30
0.00
0.15
Expected Values: E(Y|X1)
−10 −5 0 5 10
0.00
0.08
First Differences: E(Y|X1) − E(Y|X)
20 25 30
0.00
0.25
Comparison of Y|X and Y|X1
20 25 30
0.00
0.25
20 25 30
0.00
0.25
Comparison of E(Y|X) and E(Y|X1)
20 25 30
0.00
0.25
Xander Slaski — Princeton University
Comparative Statics: Corruption
10 15 20
050
100
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Corruption on State Take from Oil Contracts Oil prices ($40 to $100), Corruption (4 to 6)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Economic Model: Naive
Table: Economic Model: Naive
Dependent variable:
State Profit Share of Oil
GDP Per Capita 2.932∗∗∗ (0.470)Economic Growth 0.981∗∗∗ (0.127)Inequality (Gini Index) 0.399∗∗∗ (0.127)Unemployment 1.630∗∗∗ (0.228)Currency Reserves 0.080∗∗∗ (0.024)FDI as percent of GDP 1.226∗∗∗ (0.096)Oil Price (Brent) 1.182∗∗∗ (0.080)GDP Per Capita x Oil Price (Brent) −0.040∗∗∗ (0.004)Economic Growth x Oil Price (Brent) −0.011∗∗∗ (0.002)Inequality (Gini Index) x Oil Price (Brent) −0.002∗ (0.001)Unemployment x Oil Price (Brent) −0.021∗∗∗ (0.003)Currency Reserves x Oil Price (Brent) −0.001∗∗∗ (0.0002)FDI as percent of GDP x Oil Price (Brent) −0.016∗∗∗ (0.001)Constant 41.255∗∗∗ (0.662)
Observations 4,881
R2 0.551
Adjusted R2 0.549Residual Std. Error 11.467 (df = 4857)F Statistic 259.103∗∗∗ (df = 23; 4857)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Economic Model: Naive
Table: Political Model: Naive
Dependent variable:
State Profit Share of Oil
Political Constraints 54.336∗∗∗ (4.930)Political Risk Index 2.110∗∗∗ (0.128)Corruption Rating 23.902∗∗∗ (1.334)Oil Price (Brent) 2.207∗∗∗ (0.111)Political Constraints x Oil Price (Brent) −0.553∗∗∗ (0.060)Political Risk Index x Oil Price (Brent) −0.022∗∗∗ (0.001)Corruption Rating x Oil Price (Brent) −0.209∗∗∗ (0.013)Constant 41.255∗∗∗ (0.674)
Observations 4,881
R2 0.534
Adjusted R2 0.533Residual Std. Error 11.672 (df = 4863)F Statistic 328.092∗∗∗ (df = 17; 4863)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Oil Resources Model: Naive
Table: Oil Resources Model: Naive
Dependent variable:
government.take
Energy Imports (Percent of Economy) 0.074∗∗∗ (0.013)Percent Economy from Oil −0.550∗∗∗ (0.193)Private Energy Investment −2.227∗∗∗ (0.247)Oil Reserves 0.552∗∗∗ (0.068)Moodys Rating of National Oil Company −2.398∗∗∗ (0.635)Oil Price (Brent) −0.182∗∗∗ (0.040)Energy Imports (Percent of Economy) x Oil Price (Brent) −0.001∗∗∗
(0.0001)PercentEconOil x Oil Price (Brent) 0.015∗∗∗ (0.002)PrivateEnergyInvestment: x Oil Price (Brent) 0.024∗∗∗ (0.003)Oil Reserves x Oil Price (Brent) −0.006∗∗∗ (0.001)Moodys Rating of National Oil Company x Oil Price (Brent) 0.013∗ (0.007)Constant 41.255∗∗∗ (0.674)
Observations 4,881
R2 0.535
Adjusted R2 0.533Residual Std. Error 11.668 (df = 4859)F Statistic 266.099∗∗∗ (df = 21; 4859)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Full Model: Naive
Table
State Take of Oil Contracts:
government.take
GDP Per Capita −0.280 (0.180)Economic Growth 1.615∗∗∗ (0.195)Inequality (Gini Index) −2.387∗∗∗ (0.657)Unemployment 2.691∗∗∗ (0.941)Currency Reserves 0.146∗∗∗ (0.034)FDI as percent of GDP 0.635∗∗∗ (0.182)Political Constraints 20.149∗∗ (9.914)Political Risk Rating 0.375∗ (0.221)Corruption Rating 37.050∗∗∗ (5.331)Energy Imports 0.063∗∗ (0.025)Percent of Economy from Oil −0.897∗∗ (0.381)Private Energy Investment −4.157∗∗∗ (1.057)Oil Reserves 0.882∗∗∗(0.199)Moodys Rating of National Oil Company 4.275 (3.724)Oil Price (Brent) 0.659∗∗∗ (0.186)Economic Growth:Brent −0.019∗∗∗ (0.002)Inequality (Gini) x Oil Price (Brent) 0.033∗∗∗ (0.007)Unemployment x Oil Price (Brent) −0.035∗∗∗ (0.010)Currency Reserves x Oil Price (Brent) −0.001∗∗∗ (0.0003)FDI as percent of GDP x Oil Price (Brent) −0.007∗∗∗ (0.002)Political Constraints x Oil Price (Brent) −0.084 (0.110)Political Risk Rating x Oil Price (Brent) −0.003 (0.003)Corruption Rating Oil Price (Brent) −0.349∗∗∗ (0.059)EnergyImports:Brent −0.0001 (0.0003)Percent Economy from Oil x Oil Price (Brent) 0.018∗∗∗ (0.002)Private Energy Investment x Oil Price (Brent) 0.051∗∗∗ (0.011)Oil Reserves Oil Price (Brent) −0.010∗∗∗ (0.002)Moodys x Oil Price (Brent) −0.074∗ (0.040)Constant 41.255∗∗∗ (0.022)
Observations 4,881
R2 0.607
Adjusted R2 0.604Residual Std. Error 10.748 (df = 4842)F Statistic 196.588∗∗∗ (df = 38; 4842)
Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
Xander Slaski — Princeton University
Comparative Statics: GDP Per Capita
20 22 24 26 28
0.00
0.20
Predicted Values: Y|X
20 21 22 23 24 25 26
0.0
0.3
Predicted Values: Y|X1
20 22 24 26 28
0.00
0.20
Expected Values: E(Y|X)
20 21 22 23 24 25 26
0.0
0.3
Expected Values: E(Y|X1)
−6 −4 −2 0 2 4
0.00
0.15
First Differences: E(Y|X1) − E(Y|X)
20 22 24 26 28
0.0
0.3
Comparison of Y|X and Y|X1
20 22 24 26 28
0.0
0.3
20 22 24 26 28
0.0
0.3
Comparison of E(Y|X) and E(Y|X1)
20 22 24 26 28
0.0
0.3
Xander Slaski — Princeton University
Comparative Statics: Economic Growth
10 15 20
1015
2025
30
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Economic Growth on State Take from Oil Contracts Oil prices ($40 to $100), Economic Growth (−2% and 10%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Inequality
10 15 20
020
4060
Range of PolConstraints:Brent.pred
Exp
ecte
d V
alue
s: E
(Y|X
)
median
ci95
ci80
ci99.9
Effect of Oil Price and Gini on State Take from Oil Contracts Oil prices ($40 to $100), Gini (40 and 60)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10k
Xander Slaski — Princeton University
Comparative Statics: Unemployment
10 15 20
1020
3040
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Unemployment on State Take from Oil Contracts Oil prices ($40 to $100), Unemployment (5% and 15%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Currency Reserves
10 15 20
1015
2025
3035
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Currency Reserves on State Take from Oil Contracts Oil prices ($40 to $100), Currency Reserves (10 Billion to 150 billion)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: FDI over GDP
18 20 22 24 26
0.00
0.25
Predicted Values: Y|X
15 20 25 30
0.00
0.15
Predicted Values: Y|X1
18 20 22 24 26
0.00
0.25
Expected Values: E(Y|X)
15 20 25 30
0.00
0.15
Expected Values: E(Y|X1)
−10 −5 0 5 10 15
0.00
0.10
First Differences: E(Y|X1) − E(Y|X)
20 25 30
0.00
0.25
Comparison of Y|X and Y|X1
20 25 30
0.00
0.25
20 25 30
0.00
0.25
Comparison of E(Y|X) and E(Y|X1)
20 25 30
0.00
0.25
Xander Slaski — Princeton University
Comparative Statics: FDI over GDP
10 15 20
−20
020
4060
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and FDI on State Take from Oil Contracts Oil prices ($40 to $100), FDI as percent of GDP (10% to 50%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Oil Reserves
10 15 20
020
4060
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Oil Reserves on State Take from Oil Contracts Oil prices ($40 to $100), Oil Reserves (1 bbl to 5 bbl)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Moodys Rating of NOC
10 15 20
020
4060
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Political Constraints on State Take from Oil Contracts Oil prices ($40 to $100), Moodys Rating of NOC (3 to 7)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Resource Reliance
10 12 14 16 18 20
0.00
0.20
Predicted Values: Y|X
26 28 30 32
0.0
0.3
Predicted Values: Y|X1
10 12 14 16 18 20
0.00
0.20
Expected Values: E(Y|X)
26 28 30 32
0.0
0.3
Expected Values: E(Y|X1)
5 10 15 20
0.00
0.15
First Differences: E(Y|X1) − E(Y|X)
10 15 20 25 30
0.0
0.3
Comparison of Y|X and Y|X1
10 15 20 25 30
0.0
0.3
10 15 20 25 30
0.0
0.3
Comparison of E(Y|X) and E(Y|X1)
10 15 20 25 30
0.0
0.3
Xander Slaski — Princeton University
Comparative Statics: Energy Imports
26 28 30 32 34
0.00
0.25
Predicted Values: Y|X
26 28 30 32 34 36
0.00
0.20
Predicted Values: Y|X1
26 28 30 32 34
0.00
0.25
Expected Values: E(Y|X)
26 28 30 32 34 36
0.00
0.20
Expected Values: E(Y|X1)
0.5 1.0 1.5 2.0
0.0
1.0
2.0
First Differences: E(Y|X1) − E(Y|X)
26 28 30 32 34 36
0.00
0.25
Comparison of Y|X and Y|X1
26 28 30 32 34 36
0.00
0.25
26 28 30 32 34 36
0.00
0.25
Comparison of E(Y|X) and E(Y|X1)
26 28 30 32 34 36
0.00
0.25
Xander Slaski — Princeton University
Comparative Statics: Energy Imports
10 15 20
2025
3035
4045
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Energy Imports on State Take from Oil Contracts Oil prices ($40 to $100), Percent of Energy Imported (5% to 25%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Private Energy Investment
15 20 25
0.00
0.15
Predicted Values: Y|X
10 20 30 40 50
0.00
0.04
Predicted Values: Y|X1
15 20 25
0.00
0.15
Expected Values: E(Y|X)
10 20 30 40 50
0.00
0.04
Expected Values: E(Y|X1)
−20 −10 0 10 20 30 40
0.00
0.03
First Differences: E(Y|X1) − E(Y|X)
10 20 30 40 50
0.00
0.15
Comparison of Y|X and Y|X1
10 20 30 40 50
0.00
0.15
10 20 30 40 50
0.00
0.15
Comparison of E(Y|X) and E(Y|X1)
10 20 30 40 50
0.00
0.15
Xander Slaski — Princeton University
Comparative Statics: Private Energy Investment
10 15 20
−20
020
4060
80
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Private Energy Investment on State Take from Oil Contracts Oil prices ($40 to $100), Percent of Energy from Private Investment (5% to 25%)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Comparative Statics: Political Constraints
8 10 12 14 16 18 20
010
2030
4050
60
Range of PolConstraints:Brent.pred
Exp
ecte
d V
alue
s: E
(Y|X
)
median
ci95
ci80
ci99.9
Effect of Oil Price and Political Constraints on State Take from Oil Contracts Oil prices ($40 to $100), Political Constraints (.2 to .8)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10k
Xander Slaski — Princeton University
Comparative Statics: Political Risk
10 15 20
1020
3040
50
Range of PolConstraints:Brent.pred
Expe
cted
Val
ues:
E(Y
|X)
median
ci95
ci80
ci99.9
Effect of Oil Price and Political Risk on State Take from Oil Contracts Oil prices ($40 to $100), Political Risk (50 to 80)
Simulations for Oil prices, 40 to 100 dollars, GDP Per Capita of $2k and $10kXander Slaski — Princeton University
Corruption
30 35 40 45 50
0.00
0.10
Predicted Values: Y|X
40 50 60 70 80 90 100
0.00
0.04
Predicted Values: Y|X1
30 35 40 45 50
0.00
0.10
Expected Values: E(Y|X)
40 50 60 70 80 90 100
0.00
0.04
Expected Values: E(Y|X1)
10 20 30 40
0.00
0.06
First Differences: E(Y|X1) − E(Y|X)
30 40 50 60 70 80 90
0.00
0.10
Comparison of Y|X and Y|X1
30 40 50 60 70 80 90
0.00
0.10
30 40 50 60 70 80 90
0.00
0.10
Comparison of E(Y|X) and E(Y|X1)
30 40 50 60 70 80 90
0.00
0.10
Xander Slaski — Princeton University
Moodys Ratings of NOCs
Xander Slaski — Princeton University
Oil Rents
Xander Slaski — Princeton University
Private Energy Investment
Xander Slaski — Princeton University
Oil Reserve Data
Xander Slaski — Princeton University
Country Risk Ratings
Xander Slaski — Princeton University
Historic Oil Prices
Xander Slaski — Princeton University
Recent Oil Prices
Xander Slaski — Princeton University
Natural Disaster Occurences
Xander Slaski — Princeton University
Natural Disaster Occurences
PARTIAL ASSIGNMENT OF CONCESSION AGREEMENT OVER THE CERRO NEGRO HYDROCARBONS AREA.
In the City of Buenos Aires, Argentine Republic, on July 4th, 2008, between CLEAR S.R.L. (CUIT 30-62215921-6), a company duly incorporated under Argentine Law, with domicile in Av. Roque Sáenz Peña n° 971, 8° floor, City of Buenos Aires, represented in this act by Mr. Cristóbal Manuel LÓPEZ, DNI 12,041,648, in his capacity of Partner and Manager, hereinafter “CLEAR” or the “ASSIGNOR”, on the one side, and on the other side Pluris Sarmiento Petroleo S.A., a company duly incorporated under the Argentine Law, with domicile in Marcelo T. de Alvear 636 4° floor , represented in this act by Mr. Sacha H. Spindler, Canadian Passport number WD 135465 in his capacity of signing authority, hereinafter the “ASSIGNEE”–hereinafter individually referred as to the Party and jointly as the “Parties”- agree to sign this ASSIGNMENT contract (hereinafter the “Contract”), and;
A).- WHEREAS:
1.- CLEAR holds rights of exploration and exploitation under a concession regime (hereinafter the “Concession”) –pursuant to Law 17,319-, over the hydrocarbons area “Cerro Negro” (hereinafter the “AREA”), located in the Province of Chubut, Argentine Republic, which location, surface and limits are detailed in the map attached as Annex I, which shall be deemed part of this Assignment contract.
2.- The Concession is governed by Law 17,319 and the Concession Agreement, which authentic copy is attached as Annex II and shall be deemed part of this contract, and which terms, clauses, conditions, obligations and rights are known and accepted by the Parties.
3.- The Concession over the Area, which remains in full force and effect, has a validity term of 20 years, as from December 1, 2005. Thus, it is due on December 1, 2025 with the possibility of obtaining a five year extension of the term of the Concession as long as all the requirements of the Concession Agreement have been duly complied with.
4.- ASSIGNEE has stated its intention of acquiring 75% of CLEAR’s rights over the Area and CLEAR has stated its intention of assigning 75% of its rights over the Area.
B).- Definitions:
For the purposes of this Assignment contract, the Parties hereby agree that the terms defined in this chapter shall be deemed to have the following meanings:
Common Shares of Pluris Nevada: the common shares of Pluris Nevada, for a nominal par value of U$S 0.0001 per share, with equal rights to all other Common Shares of Pluris Nevada.
Approval from Petrominera Chubut S.E: the approval of Petrominera Chubut S.E. of CLEAR’s assignment to ASSIGNEE of the Assigned Rights over the Area and the appointing of ASSIGNEE or whomever the ASSIGNEE designates as operator of the Area.
Affiliate Company: refers to any company or legal entity that controls or is controlled by an entity that controls the Party. “Control” means the direct or indirect possession of fifty percent (50%) or more of the voting rights in the company or other legal entity.
Assigned Rights over the Area: for the purposes of this Assignment Contract, it shall refer to seventy five percent (75%) of CLEAR’s participation interest in the Concession Agreement over the Area, which comprises the acquisition and undertaking of 75% of the rights and obligations over the Area arising from Law 17,319 and the Concession.
Closing Date: for the purposes of this Assignment Contract, it shall be deemed to be the date when, after having put into place the financial structure necessary for this Assignment Contract, ASSIGNEE performs the payment of the
Xander Slaski — Princeton University
First Stage Results
Table: Instrumented Oil Prices
1990 35.7361991 33.6051992 37.5991993 37.1601994 40.1021995 64.8491996 35.4291997 32.8481998 41.7901999 50.4612000 35.5532001 30.9862002 36.4032003 38.1412004 58.4912005 78.0742006 32.7172007 41.7382008 67.9342009 35.3112010 45.7892011 118.2922012 59.3242013 54.1522014 46.905
Xander Slaski — Princeton University
The bargaining process: caveats
There are significant transaction costs to renegotiatingcontracts
Contracts include not only terms about how to divide thefunds, but a host of other special provisions and non-fiscalbenefits to the state
Examining contracts at a particular point in time capturecontracts that were negotiated at a number of points in thepast and thus capture bargaining power at a range of times inthe past.
Contract terms may also vary depending on the stage of oildevelopment – exploration, development, and production(which can themselves be broken down into substages).
Xander Slaski — Princeton University