Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing
Recent econometric advances have made it possible to empirically identify the varied nature of consumers' preferences. We apply these advances to study commuters' preferences for speedy and reliable highway travel with the objective of exploring efficiency and distributional effects of road pricing that accounts for users' heterogeneity. Our analysis combines revealed and stated commuter choices of whether to pay a toll for congestion-free express travel or to travel free on regular congested roads. We find that highway users exhibit substantial heterogeneity in their values of travel time and reliability. Moreover, we show that road pricing policies that cater to varying preferences can substantially increase efficiency while maintaining the political feasibility exhibited by current experiments. By recognizing heterogeneity, policymakers may break the current impasse in efforts to relieve highway congestion.
|Date of creation:||01 Aug 2002|
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- 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.
- Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
- Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Lee, Lung-Fei, 1992.
"On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models,"
Cambridge University Press, vol. 8(04), pages 518-552, December.
- Lee, L-F., 1990. "On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models," Papers 260, Minnesota - Center for Economic Research.
- Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
- Clifford Winston, 1998. "U.S. Industry Adjustment to Economic Deregulation," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 89-110, Summer.
- Calfee, John & Winston, Clifford, 1998. "The value of automobile travel time: implications for congestion policy," Journal of Public Economics, Elsevier, vol. 69(1), pages 83-102, July.
- John Calfee & Clifford Winston & Randolph Stempski, 2001. "Econometric Issues In Estimating Consumer Preferences From Stated Preference Data: A Case Study Of The Value Of Automobile Travel Time," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 699-707, November.
- Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
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