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The impact of online low search costs on firms' incentives to invest in quality

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  • Yassine Badra

Abstract

The growing use of the Internet has made search costs lower for consumers. We study the effect of this on the incentives for firms to invest in quality. We assume that there are firms producing high‐quality products and others producing low‐quality products; we also assume that the market share of the latter is higher than that of the former. Besides, we analyse the changes of both the revenue effect and the quantity effect; we show that they go in the same nonintuitive direction. In other words, when search costs decrease, the incentives to invest in quality increase.

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  • Yassine Badra, 2020. "The impact of online low search costs on firms' incentives to invest in quality," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1629-1633, December.
    • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:8:p:1629-1633
    DOI: 10.1002/mde.3209
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    1. Michael R. Baye & J. Rupert J. Gatti & Paul Kattuman & John Morgan, 2009. "Clicks, Discontinuities, and Firm Demand Online," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(4), pages 935-975, December.
    2. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    3. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    4. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    5. Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
    6. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    7. Burdett, Kenneth & Mortensen, Dale T, 1998. "Wage Differentials, Employer Size, and Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 257-273, May.
    8. Moraga-González, José Luis & Wildenbeest, Matthijs R., 2008. "Maximum likelihood estimation of search costs," European Economic Review, Elsevier, vol. 52(5), pages 820-848, July.
    9. Arthur Fishman & Nadav Levy, 2015. "Search Costs and Investment in Quality," Journal of Industrial Economics, Wiley Blackwell, vol. 63(4), pages 625-641, December.
    10. Daron Acemoglu & Robert Shimer, 2000. "Wage and Technology Dispersion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 585-607.
    11. Han Hong & Matthew Shum, 2006. "Using price distributions to estimate search costs," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 257-275, June.
    12. Asher Wolinsky, 2005. "Procurement via Sequential Search," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 785-810, August.
    13. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
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