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Market Structure and the Pricing of New Products: A Nested Logit Approach with Asymmetric Firms

Author

Listed:
  • Sylvia Bleker

    (VU University Amsterdam, the Netherlands)

  • Christiaan Behrens

    (VU University Amsterdam, the Netherlands)

  • Paul Koster

    (VU University Amsterdam, the Netherlands)

  • Erik T. Verhoef

    (VU University Amsterdam, the Netherlands)

Abstract

This article investigates competition in a market with an emerging technology using a discrete choice model to analyze demand and welfare. We focus on industry structure and investigate the impact of different market structures on demand for the new technology and on welfare. The car market serves as a prime example of such a market, where electric vehicles (EV’s) represent the new technology competing with standard cars with internal combustion engines (ICV’s). To analyze such a market, we use a nested logit model. In contrast to earlier literature, we allow firms to be asymmetric and active in multiple nests, with different numbers of variants in each nest, which can add up to any market share. Additionally, we add to existing literature by considering the case where substitutability between firms is stronger than between technologies, by nesting products by technology instead of by firm. We find implicit analytical solutions for the equilibrium mark-ups which can be used when there are two nests in the market; within that restriction firms can be asymmetric. Numerically, we find that EV sales are higher if offered by a new entrant only selling EV’s as opposed to when it is supplied by a firm selling variants of both types. We present an index based on mark-up differences between variants in the market, which can be used to a priori determine whether a change in market structure would increase or decrease welfare. These results are general to the nested logit model, and the index can thus be used in any market, as long as the market is sufficiently accurately described by the nested logit model.

Suggested Citation

  • Sylvia Bleker & Christiaan Behrens & Paul Koster & Erik T. Verhoef, 2014. "Market Structure and the Pricing of New Products: A Nested Logit Approach with Asymmetric Firms," Tinbergen Institute Discussion Papers 14-142/VIII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20140142
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    References listed on IDEAS

    as
    1. Unknown, 2012. "Transportation Research Forum," 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 207218, Transportation Research Forum.
    2. Philippe Crist, 2012. "Electric Vehicles Revisited: Costs, Subsidies and Prospects," International Transport Forum Discussion Papers 2012/3, OECD Publishing.
    3. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    4. Anderson, Simon P & de Palma, Andre, 1992. "Multiproduct Firms: A Nested Logit Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 40(3), pages 261-276, September.
    5. Belleflamme,Paul & Peitz,Martin, 2010. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9780521681599, November.
    6. Mizuno, Toshihide, 2003. "On the existence of a unique price equilibrium for models of product differentiation," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 761-793, June.
    7. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    8. Anderson, Simon Peter & de Palma, Andre & Thisse, Jacques-Francois, 1988. "A Representative Consumer Theory of the Logit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(3), pages 461-466, August.
    9. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    10. Gang Liu, 2006. "On Nash equilibrium in prices in an oligopolistic market with demand characterized by a nested multinomial logit model and multiproduct firm as nest," Discussion Papers 454, Statistics Norway, Research Department.
    11. Hongmin Li & Woonghee Tim Huh, 2011. "Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 549-563, October.
    12. Varela-Irimia, Xosé-Luís, 2011. "Multi-stage oligopoly models with nested logit demand structures: A simplifying approach," Working Papers 2072/179616, Universitat Rovira i Virgili, Department of Economics.
    13. Anderson, Simon P. & De Palma, Andre & Thisse, Jacques-Francois, 1987. "The CES is a discrete choice model?," Economics Letters, Elsevier, vol. 24(2), pages 139-140.
    14. Verboven, Frank, 1996. "The nested logit model and representative consumer theory," Economics Letters, Elsevier, vol. 50(1), pages 57-63, January.
    15. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
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    More about this item

    Keywords

    Nested logit model; asymmetry; market structure; welfare indices; emerging technology;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D60 - Microeconomics - - Welfare Economics - - - General
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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