Estimating Commuters' "Value of Time" and Noisy Data: a Multiple Imputation Approach
We estimate how motorists value their time savings and characterize the degree of heterogeneity in these values by observable traits. We obtain these estimates by analyzing the choices that commuters make in a real market situation, where they are oï¬€ered a free-ï¬‚ow alternative to congested travel. We do so, however, in an empirical setting where several key observations are missing. To overcome this, we apply Rubinâ€™s Multiple Imputation Method to generate consistent estimates and valid statistical inferences. We also compare these estimates to those produced in a "single imputation" scenario to illustrate the potential hazards of single imputation methods when multiple imputation methods are warranted. Our results show the importance of properly accounting for errors in the imputation process, and they also show that value of time savings varies greatly according to motorist characteristics.
|Date of creation:||24 Nov 2004|
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- Brownstone, D. & Golob, T.F. & Kazimi, C., 1999. "Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling," Papers 99-00-06, California Irvine - School of Social Sciences.
- Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
- Small, Kenneth A & Winston, Clifford & Yan, Jia, 2002. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing," University of California Transportation Center, Working Papers qt8zd2r34k, University of California Transportation Center.
- Ghosh, Arindam, 2001. "Valuing Time and Reliability: Commuters' Mode Choice from a Real Time Congestion Pricing Experiment," University of California Transportation Center, Working Papers qt9fz0z9kq, University of California Transportation Center.
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