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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, January.
  • Handle: RePEc:mtp:titles:0262200554
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    Citations

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    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 Applied Economics.
    2. Randall P. Ellis & Germano M. Mwabu, 1991. "The Demand for Outpatient Medical Care in Rural Kenya," Boston University - Institute for Economic Development 15, Boston University, Institute for Economic Development.
    3. 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.
    4. 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.
    5. 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.
    6. Burtraw, Dallas & Pizer, William & Harrington, Winston & Sanchirico, James & Newell, Richard, 2005. "Modeling Economywide versus Sectoral Climate Policies Using Combined Aggregate-Sectoral Models," Discussion Papers dp-05-08, Resources For the Future.
    7. 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.
    8. 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.
    9. 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.).

    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

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