IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v34y2000i5p315-338.html
   My bibliography  Save this article

Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles

Author

Listed:
  • Brownstone, David
  • Bunch, David S.
  • Train, Kenneth

Abstract

We compare multinomial logit and mixed logit models for data on California households' revealed and stated preferences for automobiles. The stated preference (SP) data elicited households' preferences among gasoline, electric, methanol, and compressed natural gas vehicles with various attributes. The mixed logit models provide improved fits over logit that are highly significant, and show large heterogeneity in respondents' preferences for alternative-fuel vehicles. The effects of including this heterogeneity are demonstrated in forecasting exercises. The alternative-fuel vehicle models presented here also highlight the advantages of merging SP and revealed preference (RP) data. RP data appear to be critical for obtaining realistic body-type choice and scaling information, but they are plagued by multicollinearity and difficulties with measuring vehicle attributes. SP data are critical for obtaining information about attributes not available in the marketplace, but pure SP models with these data give implausible forecasts.

Suggested Citation

  • Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    • Handle: RePEc:eee:transb:v:34:y:2000:i:5:p:315-338
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191-2615(99)00031-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kenneth Train, "undated". "Simulation Methods for Probit and Related Models Based on Convenient Error Partitioning," Working Papers _009, University of California at Berkeley, Econometrics Laboratory Software Archive.
    2. 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.
    3. repec:cdl:uctcwp:qt0244r8g2 is not listed on IDEAS
    4. repec:cdl:uctcwp:qt3sm7w9zk is not listed on IDEAS
    5. Lee, Lung-Fei, 1992. "On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models," Econometric Theory, Cambridge University Press, vol. 8(4), pages 518-552, December.
    6. Bunch, David S., 1988. "A comparison of algorithms for maximum likelihood estimation of choice models," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 145-167.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:cdl:uctcwp:qt7rf7s3nx is not listed on IDEAS
    2. repec:cdl:econwp:qt7rf7s3nx is not listed on IDEAS
    3. repec:cdl:econwp:qt45f996hh is not listed on IDEAS
    4. repec:cdl:uctcwp:qt45f996hh is not listed on IDEAS
    5. repec:cdl:uctcwp:qt29v7d1pk is not listed on IDEAS
    6. 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.
    7. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    8. Edward Morey & Kathleen Greer Rossmann, 2003. "Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 215-229, November.
    9. repec:cdl:econwp:qt3tb6j874 is not listed on IDEAS
    10. repec:cdl:uctcwp:qt3tb6j874 is not listed on IDEAS
    11. David Revelt and Kenneth Train., 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Economics Working Papers E00-274, University of California at Berkeley.
    12. Hu, Wuyang & Adamowicz, Wiktor L. & Veeman, Michele M., 2004. "Decomposing Unobserved Choice Variability In The Presence Of Consumers' Taste Heterogeneity," 2004 Annual meeting, August 1-4, Denver, CO 19954, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Xiaodong Gong & Arthur van Soest, 2002. "Family Structure and Female Labor Supply in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 37(1), pages 163-191.
    14. repec:cdl:uctcwp:qt1j6814b3 is not listed on IDEAS
    15. 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.
    16. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Differentiated Road Pricing, Express Lanes and Carpools: Exploiting Heterogeneous Preferences in Policy Design," Working Papers 050616, University of California-Irvine, Department of Economics, revised Mar 2006.
    17. Portier, Francois & Segers, Johan, 2018. "Monte Carlo integration with a growing number of control variates," LIDAM Discussion Papers ISBA 2018001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Karthik K. Srinivasan & Hani S. Mahmassani, 2005. "A Dynamic Kernel Logit Model for the Analysis of Longitudinal Discrete Choice Data: Properties and Computational Assessment," Transportation Science, INFORMS, vol. 39(2), pages 160-181, May.
    19. repec:cdl:econwp:qt1j6814b3 is not listed on IDEAS
    20. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    21. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    22. Weiss, Adam & Habib, Khandker Nurul, 2017. "Examining the difference between park and ride and kiss and ride station choices using a spatially weighted error correlation (SWEC) discrete choice model," Journal of Transport Geography, Elsevier, vol. 59(C), pages 111-119.
    23. Epstein, Andrew J., 2010. "Effects of report cards on referral patterns to cardiac surgeons," Journal of Health Economics, Elsevier, vol. 29(5), pages 718-731, September.
    24. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    25. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    26. Mika Haapanen & Jari Ritsilä, 2001. "Can migration decisions be affected by income taxation policies?," ERSA conference papers ersa01p41, European Regional Science Association.
    27. Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    28. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2014. "The impact of the household decision environment on fuel choice behavior," Energy Economics, Elsevier, vol. 44(C), pages 236-247.
    29. Gong, Xiaodong & Van Soest, Arthur & Villagomez, Elizabeth, 2004. "Mobility in the Urban Labor Market: A Panel Data Analysis for Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 1-36, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transb:v:34:y:2000:i:5:p:315-338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.