Mixed Logit Estimation of the Value of Travel Time
Abstract
In this paper we use mixed logit specifications to allow parameters to vary in the population when estimating the value of time for long-distance car travel. Our main conclusion is that the estimated value of time is very sensitive to how the model is specified: we find that it is significantly lower when the coefficients are assumed to be normally distributed in the population, as compared to the traditional case when they are treated as fixed. In our most richly parameterised model, we find a median value of time of 57 SEK per hour, with the major part of the mass of the value of time distribution closely centred around the median value. The corresponding figure when the parameters are treated as fixed is 89 SEK per hour. Furthermore, our finding that the ratio of coefficients in a mixed logit specification differ significantly from the ones in a traditional logit specification is contrary to the results obtained by Brownstone & Train (1996) and Train (1997). Whether the ratios will differ or not depends on the model and the data generating process at hand.Download Info
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Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 1998:15.Length: 33 pages
Date of creation: 07 Aug 1998
Date of revision:
Handle: RePEc:hhs:uunewp:1998_015
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Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Web page: http://www.nek.uu.se/
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Related research
Keywords: Mixed Logit; Simulation Estimation; Value of Time;Other versions of this item:
- Algers, S. & Bergstrom, P. & Dahlberg, M. & Dillen, J.L., 1998. "Mixed Logit Estimation of the Value of Travel Time," Papers 1998:15, Uppsala - Working Paper Series.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion
This paper has been announced in the following NEP Reports:
- NEP-ALL-1998-08-31 (All new papers)
- NEP-ECM-1998-08-31 (Econometrics)
- NEP-ENV-1998-08-31 (Environmental Economics)
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References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
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Working Papers in Economics
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"A practical test for the choice of mixing distribution in discrete choice models,"
MPRA Paper
42276, University Library of Munich, Germany.
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"Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier,"
Econometrics
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ZEW Discussion Papers
09-058, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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