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A Hybrid Discrete Choice Model Of Differentiated Product Demand With An Application To Personal Computers

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  • Minjae Song

Abstract

In this article, I consider a new discrete choice model of differentiated product demand that distinguishes a brand‐level differentiation from a product‐level differentiation. The model is a hybrid of the random coefficient logit model of Berry et al. (Econometrica 63 (1995), 841–90) and the pure characteristics model of Berry and Pakes (International Economic Review 48 (2007), 1193–1225) and describes markets where firms offer multiple products of different qualities under the same brand name. I compare the hybrid model with existing models using data on personal computers. Using the estimates of the hybrid model, I also provide empirical evidence that firms reposition their brands in a postmerger market.

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  • Minjae Song, 2015. "A Hybrid Discrete Choice Model Of Differentiated Product Demand With An Application To Personal Computers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 265-301, February.
    • Handle: RePEc:wly:iecrev:v:56:y:2015:i:1:p:265-301
    DOI: 10.1111/iere.12102
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    References listed on IDEAS

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    1. Steven Berry & Amit Gandhi & Philip Haile, 2013. "Connected Substitutes and Invertibility of Demand," Econometrica, Econometric Society, vol. 81(5), pages 2087-2111, September.
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    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Minjae Song, 2007. "Measuring consumerwelfareinthe CPU market: anapplication of the pure-characteristics demand model," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 429-446, June.
    9. Andrew Sweeting, 2013. "Dynamic Product Positioning in Differentiated Product Markets: The Effect of Fees for Musical Performance Rights on the Commercial Radio Industry," Econometrica, Econometric Society, vol. 81(5), pages 1763-1803, September.
    10. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    11. Steven T. Berry & Joel Waldfogel, 2001. "Do Mergers Increase Product Variety? Evidence from Radio Broadcasting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 1009-1025.
    12. Patrick Bajari & C. Lanier Benkard, 2005. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Journal of Political Economy, University of Chicago Press, vol. 113(6), pages 1239-1276, December.
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    Cited by:

    1. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    2. Néstor Duch-Brown & Lukasz Grzybowski & André Romahn & Frank Verboven, 2023. "Evaluating the Impact of Online Market Integration—Evidence from the EU Portable PC Market," American Economic Journal: Microeconomics, American Economic Association, vol. 15(4), pages 268-305, November.
    3. McFadden, Daniel, 2022. "Instability in mixed logit demand models," Journal of choice modelling, Elsevier, vol. 43(C).
    4. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Haucap, Justus & Stiebale, Joel, 2023. "Non-price effects of mergers and acquisitions," DICE Discussion Papers 402, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

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