IDEAS home Printed from https://ideas.repec.org/b/mtp/titles/0262200554.html
   My bibliography  Save this book

Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand

Author

Listed:
  • Kenneth Train

    (University of California, Berkeley)

Abstract

This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission.

Suggested Citation

  • Kenneth Train, 1985. "Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200554, April.
    • Handle: RePEc:mtp:titles:0262200554
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. DE BORGER, Bruno & MAYERES, Inge, "undated". "Taxation of car-ownership, car use and public transport: Insight derived from a discrete choice numerical optimisation model," Working Papers 2004021, University of Antwerp, Faculty of Business and Economics.
    2. Ander Pijoan & Oihane Kamara-Esteban & Ainhoa Alonso-Vicario & Cruz E. Borges, 2018. "Transport Choice Modeling for the Evaluation of New Transport Policies," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    3. Edmond Daramy-Williams & Jillian Anable & Susan Grant-Muller, 2019. "Car Use: Intentional, Habitual, or Both? Insights from Anscombe and the Mobility Biography Literature," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    4. Pizer, William A. & Burtraw, Dallas & Harrington, Winston & Newell, Richard G. & Sanchirico, James N., 2005. "Modeling Economywide versus Sectoral Climate Policies Using Combined Aggregate-Sectoral Models," Discussion Papers 10502, Resources for the Future.
    5. Christian Hilber & Ioan Voicu, 2010. "Agglomeration Economies and the Location of Foreign Direct Investment: Empirical Evidence from Romania," Regional Studies, Taylor & Francis Journals, vol. 44(3), pages 355-371.
    6. Randall P. Ellis & Germano M. Mwabu, 1991. "The Demand for Outpatient Medical Care in Rural Kenya," Papers 0006, Boston University - Industry Studies Programme.
    7. Bénédicte Meurisse & Maxime Le Roy, 2014. "Towards a clean vehicle fleet: from households’ valuation of fuel efficiency to policy implications," Working Papers hal-04141349, HAL.
    8. Bénédicte Meurisse & Maxime Le Roy, 2014. "Towards a clean vehicle fleet: from households’ valuation of fuel efficiency to policy implications," Working Papers 1406, Chaire Economie du climat.
    9. Hilber, Christian A. L. & Voicu, Ioan, 2006. "Agglomeration economies and the location of foreign direct investment: quasi-experimental evidence from Romania," LSE Research Online Documents on Economics 3574, London School of Economics and Political Science, LSE Library.
    10. Dow, William H., 1995. "Unconditional Demand for Curative Health Inputs: Does Selection on Health Status Matter in the Long Run?," Center Discussion Papers 321330, Yale University, Economic Growth Center.
    11. Head, Keith & Ries, John & Swenson, Deborah, 1995. "Agglomeration benefits and location choice: Evidence from Japanese manufacturing investments in the United States," Journal of International Economics, Elsevier, vol. 38(3-4), pages 223-247, May.
    12. Kathleen W. Johnson, 1999. "Credit constraints, consumer leasing and the automobile replacement decision," Finance and Economics Discussion Series 1999-68, Board of Governors of the Federal Reserve System (U.S.).
    13. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.
    14. Abhishek, 2011. "Private Label Brand Choice Dynamics Logit model involving demographic and psychographic variables," IIMA Working Papers WP2011-01-07, Indian Institute of Management Ahmedabad, Research and Publication Department.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:mtp:titles:0262200554. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kristin Waites (email available below). General contact details of provider: http://mitpress.mit.edu .

    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.