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Discrete choice modeling and demand estimation for diapers (in Russian)

Author

Listed:
  • Anna Anikina

    (New Economic School, Moscow, Russia)

Abstract

The paper examines the demand structure for diapers in one of Russian cities with the use of a discrete choice model with random coefficients in consumer utilities. As a first step, logit and nested logit specifications are estimated. The market-level information for sales volumes, prices and other product characteristics is used. An unbalanced bimonthly panel for the period from 2008 to 2011 is available. At the second stage, the full model adapted from Berry, Levinsohn & Pakes (1995) and Nevo (2001) is estimated. Additional features are added to the model to capture the market specifics.

Suggested Citation

  • Anna Anikina, 2013. "Discrete choice modeling and demand estimation for diapers (in Russian)," Quantile, Quantile, issue 11, pages 61-74, December.
    • Handle: RePEc:qnt:quantl:y:2013:i:11:p:61-74
    as

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    References listed on IDEAS

    as
    1. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    2. Aviv Nevo, 2000. "A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(4), pages 513-548, December.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    4. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    discrete choice models; random coefficient models; differentiated products; demand estimation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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