7/27/2019 bib4

1/1

P1: GEM / IKJ P2: GEM / IKJ QC: GEM / ABE T1: GEM

CB495-13 CB495/Train KEY BOARDED September 19, 2002 9:51 Char Count= 0

322 Bibliography

Chiang, J., S. Chib, and C. Narasimhan (1999), Markov chain Monte Carlo and models

of consideration set and parameter heterogeneity, Journal of Econometrics

89,223 248.

Chib, S. and E. Greenberg (1995), Understanding the Metropolis Hastings algorithm , American Statistician 49 , 327 335.

Chib, S. and E. Greenberg (1996), Markov chain Monte Carlo simulation methods ineconometrics , Econometric Theory 12 , 409 431.

Chib, S. and E. Greenberg (1998), Analysis of multivariate probit models , Biometrika85 , 347 361.

Chintagunta, P., D. Jain, and N. Vilcassim (1991), Investigating heterogeneity in brandpreference in logit models for panel data , Journal of Marketing Research 28 ,417 428.

Chipman, J. (1960), The foundations of utility , Econometrica 28 , 193 224.Chu, C. (1981), Structural issues and sources of bias in residential location and travel

choice models , PhD Thesis, Northwestern University.Chu, C. (1989), A paired combinational logit model for travel demand analysis , Pro-

ceedings of Fifth World Conference on Transportation Research 4 , 295 309.Clark, C. (1961), The greatest of a nite set of random variables , Operations Research

9 , 145 162.Cosslett, S. (1981), Ef cient estimation of discrete choice models , in C. Manski and

D. McFadden, eds., Structural Analysis of Discrete Data with Econometric Appli-cations , MIT Press, Cambridge, MA.

Cowles, M. and B. Carlin (1996), Markov chain Monte Carlo convergence diagnostics:A comparative review , Journal of the American Statistical Association 91 , 883 904.

Daganzo, C. (1979), Multinomial Probit: The Theory and Its Application to Demand Forecasting , Academic Press, New York.

Daganzo, C., F. Bouthelier, and Y. Shef (1977), Multinomial probit and qualita-tive choice: A computationally ef cient algorithm , Transportation Science 11 ,338 358.

Dagsvik, J. (1994), Discrete and continuous choice max-stable processes and indepen-dence from irrelevant alternatives , Econometrica 62 , 1179 1205.

Daly, A. (1987), Estimating tree logit models , Transportation Research B 21 ,251 267.

Daly, A. and S. Zachary (1978), Improved multiple choice models, in D. Hensher andM. Dalvi, eds., Determinants of Travel Choice , Saxon House, Sussex.

Debreu, G. (1960), Review of R.D. Luce individual choice behavior , American Economic Review 50 , 186 188.

DeSarbo, W., V. Ramaswamy, and S. Cohen (1995), Market segmentation with choice-based conjoint analysis , Marketing Letters 6 , 137 147.

Desvousges, W., S. Waters, and K. Train (1996), Potential economic losses associatedwith recreational services in the Upper Clark Fork River basin , Report, TriangleEconomic Research, Durham, NC.

Dubin, J. and D. McFadden (1984), An econometric analysis of residential electricappliance holdings and consumption , Econometrica 52 , 345 362.

Eckstein,Z. andK. Wolpin (1989), The speci cationand estimationof dynamic stochas-tic discrete choice models: A survey , Journal of Human Resources 24 , 562

598.Elrod, T. and M. Keane (1995), A factor analytic probit model for representing themarket structure in panel data , Journal of Marketing Research 32 , 1 16.

Erdem, T. (1996), A dynamic analysis of market structure based on panel data , Marketing Science 15 , 359 378.

Forinash, C. and F. Koppelman (1993), Application and interpretation of nestedlogit models of intercity mode choice , Transportation Research Record 1413 ,98 106.