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Combination of revealed and stated preferences data

Author

Listed:
  • Ozhegova, Alina

    (National Research University Higher School of Economics, Perm, Russian Federation)

Abstract

Many of business tasks require revealing of consumer preferences. There are two main sources of preferences: actual sales data and consumer survey data. Both of these sources have substantial drawbacks. That is the reason why they are often combined into one dataset. In this paper we propose a methodology to estimate heterogeneous preferences on a dataset combined from transactional sales database and result of discrete choice experiment. We show that collection of experimental data allows increasing an efficiency of preferences estimates and improving a model quality in terms of actual choice prediction.

Suggested Citation

  • Ozhegova, Alina, 2018. "Combination of revealed and stated preferences data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 110-131.
    • Handle: RePEc:ris:apltrx:0358
    as

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    References listed on IDEAS

    as
    1. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
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    7. Seaman, Bruce A, 2006. "Empirical Studies of Demand for the Performing Arts," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 14, pages 415-472, Elsevier.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    demand; preferences; heterogeneity; discrete choice models;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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