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Bayesian estimation of multinomial probit models of work trip choice

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  • Yeonbae Kim
  • Tai-Yoo Kim
  • Eunnyeong Heo

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  • Yeonbae Kim & Tai-Yoo Kim & Eunnyeong Heo, 2003. "Bayesian estimation of multinomial probit models of work trip choice," Transportation, Springer, vol. 30(3), pages 351-365, August.
    • Handle: RePEc:kap:transp:v:30:y:2003:i:3:p:351-365
    DOI: 10.1023/A:1023914313215
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    1. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Thobani, Mateen, 1984. "A nested logit model of travel mode to work and auto ownership," Journal of Urban Economics, Elsevier, vol. 15(3), pages 287-301, May.
    3. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    4. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," Department of Economics, Working Paper Series qt1j6814b3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
    6. McCulloch, Robert E. & Polson, Nicholas G. & Rossi, Peter E., 2000. "A Bayesian analysis of the multinomial probit model with fully identified parameters," Journal of Econometrics, Elsevier, vol. 99(1), pages 173-193, November.
    7. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
    8. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    9. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," Department of Economics, Working Paper Series qt3tb6j874, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    10. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
    11. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    12. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    13. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    14. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
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    Cited by:

    1. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    2. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    3. Thøgersen, John, 2006. "Understanding repetitive travel mode choices in a stable context: A panel study approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(8), pages 621-638, October.
    4. Jae Young Choi & Yeonbae Kim & Yungman Jun & Yunhee Kim, 2009. "A Multivariate Probit Analysis of Korean Firms Information System Adoption: An Empirical Analysis on the Determinants of the Adoption and Complementarity Among the Information Systems," TEMEP Discussion Papers 200926, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    5. Veettil, Prakashan Chellattan & Speelman, Stijn & Frija, Aymen & Buysse, Jeroen & van Huylenbroeck, Guido, 2011. "Complementarity between water pricing, water rights and local water governance: A Bayesian analysis of choice behaviour of farmers in the Krishna river basin, India," Ecological Economics, Elsevier, vol. 70(10), pages 1756-1766, August.
    6. Rojo, Marta & Gonzalo-Orden, Hernán & dell’Olio, Luigi & Ibeas, Ángel, 2012. "Relationship between service quality and demand for inter-urban buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1716-1729.

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