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The Outside Good Bias in Logit Models of Demand with Aggregate Data

Author

Listed:
  • Dongling Huang

    (Rensselaer Polytechnic Institute)

  • Christian Rojas

    (University of Massachusetts Amherst)

Abstract

The logit model is the most popular tool for estimating demand in differentiated products markets. However, in its aggregate version, practitioners have to “guess” the size outside good. We propose a way to remove the bias created by an inaccurate guess in simpler versions of the model.

Suggested Citation

  • Dongling Huang & Christian Rojas, 2013. "The Outside Good Bias in Logit Models of Demand with Aggregate Data," Economics Bulletin, AccessEcon, vol. 33(1), pages 198-206.
    • Handle: RePEc:ebl:ecbull:eb-12-00549
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    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I1-P19.pdf
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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. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    3. Dongling Huang & Christian Rojas & Frank Bass, 2008. "What Happens When Demand Is Estimated With A Misspecified Model?," Journal of Industrial Economics, Wiley Blackwell, vol. 56(4), pages 809-839, December.
    4. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Philippe Choné & Lionel Wilner, 2022. "Financial Incentives and Competitive Pressure: The Case of the Hospital Industry," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 626-666.
    2. Sánchez Navarro, Dennis, 2013. "Análisis de elasticidades en el mercado automotor colombiano (2009 - 2011) mediante un modelo logit anidado [Analysis Of Elasticity In Colombian Automotive Market (2009 - 2011) Through A Nested Log," MPRA Paper 46043, University Library of Munich, Germany.
    3. Huang Dongling & Rojas Christian, 2014. "Eliminating the Outside Good Bias in Logit Models of Demand with Aggregate Data," Review of Marketing Science, De Gruyter, vol. 12(1), pages 1-36, January.
    4. Dubois, Pierre & Gandhi, Ashvin & Vasserman, Shoshana, 2022. "Bargaining and International Reference Pricing in the Pharmaceutical Industry," CEPR Discussion Papers 17293, C.E.P.R. Discussion Papers.
    5. P. Givord & C. Grislain-Letrémy & H. Naegele, 2014. "How does fuel taxation impact new car purchases? An evaluation using French consumer-level dataset," Documents de Travail de l'Insee - INSEE Working Papers g2014-14, Institut National de la Statistique et des Etudes Economiques.
    6. Pauline Givord & Céline Grislain-Letrémy & Helene Naegele, 2014. "How Does Fuel Taxation Impact New Car Purchases?: An Evaluation Using French Consumer-Level Data," Discussion Papers of DIW Berlin 1428, DIW Berlin, German Institute for Economic Research.
    7. David Coble, 2019. "Multimarket Contact in Banking Competition in The United States," Working Papers Central Bank of Chile 858, Central Bank of Chile.
    8. Philippe CHONÉ & Lionel WILNER, 2019. "Competition on Unobserved Attributes: The Case of the Hospital Industry," Working Papers 2019-21, Center for Research in Economics and Statistics.

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    More about this item

    Keywords

    Logit model; demand estimation; outside good; differentiated products;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

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