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Quantifying search and switching costs in the US auto insurance industry

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  • Elisabeth Honka

Abstract

type="main"> I estimate demand for auto insurance in the presence of two types of market frictions: search and switching costs. I develop an integrated utility-maximizing model in which consumers decide over which and how many companies to search and from which company to purchase. My modelling approach rationalizes observed consideration sets as being the outcomes of consumers' search processes. I find search costs to range from $35 to $170 and average switching costs of $40. Search costs are the most important driver of customer retention and their elimination is the main lever to increase consumer welfare in the auto insurance industry.

Suggested Citation

  • Elisabeth Honka, 2014. "Quantifying search and switching costs in the US auto insurance industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 847-884, December.
  • Handle: RePEc:bla:randje:v:45:y:2014:i:4:p:847-884
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    1. repec:mpr:mprres:7375 is not listed on IDEAS
    2. Mark Israel, 2005. "Services as Experience Goods: An Empirical Examination of Consumer Learning in Automobile Insurance," American Economic Review, American Economic Association, vol. 95(5), pages 1444-1463, December.
    3. 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.
    4. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    5. Liran Einav & Amy Finkelstein & Jonathan Levin, 2010. "Beyond Testing: Empirical Models of Insurance Markets," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 311-336, September.
    6. 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.
    7. Tülin Erdem & Susumu Imai & Michael Keane, 2003. "Brand and Quantity Choice Dynamics Under Price Uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 5-64, March.
    8. Dahlby, Bev & West, Douglas S, 1986. "Price Dispersion in an Automobile Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 418-438, April.
    9. Tülin Erdem & Michael P. Keane & Baohong Sun, 2008. "A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality," Marketing Science, INFORMS, vol. 27(6), pages 1111-1125, 11-12.
    10. Hector Chade & Lones Smith, 2006. "Simultaneous Search," Econometrica, Econometric Society, vol. 74(5), pages 1293-1307, September.
    11. Babur De Los Santos & Ali Hortacsu & Matthijs R. Wildenbeest, 2012. "Testing Models of Consumer Search Using Data on Web Browsing and Purchasing Behavior," American Economic Review, American Economic Association, vol. 102(6), pages 2955-2980, October.
    12. Stephan Seiler, 2013. "The impact of search costs on consumer behavior: A dynamic approach," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 155-203, June.
    13. Benjamin R. Handel, 2013. "Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts," American Economic Review, American Economic Association, vol. 103(7), pages 2643-2682, December.
    14. Jie Zhang, 2006. "An Integrated Choice Model Incorporating Alternative Mechanisms for Consumers' Reactions to In-Store Display and Feature Advertising," Marketing Science, INFORMS, vol. 25(3), pages 278-290, 05-06.
    15. Sergei Koulayev, 2014. "Search for differentiated products: identification and estimation," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 553-575, September.
    16. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    17. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    18. Wilson, Chris M., 2012. "Market frictions: A unified model of search costs and switching costs," European Economic Review, Elsevier, vol. 56(6), pages 1070-1086.
    19. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    20. Andrew Ching & Tülin Erdem & Michael Keane, 2009. "The price consideration model of brand choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 393-420, April.
    21. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    22. Stephan Seiler, 2013. "The impact of search costs on consumer behavior: A dynamic approach," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 155-203, June.
    23. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    24. Jeffrey R. Kling & Sendhil Mullainathan & Eldar Shafir & Lee C. Vermeulen & Marian V. Wrobel, 2012. "Comparison Friction: Experimental Evidence from Medicare Drug Plans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 199-235.
    25. Mark Israel, 2005. "Tenure Dependence in Consumer-Firm Relationships: An Empirical Analysis of Consumer Departures from Automobile Insurance Firms," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 165-192, Spring.
    26. Michelle Sovinsky Goeree, 2008. "Limited Information and Advertising in the U.S. Personal Computer Industry," Econometrica, Econometric Society, vol. 76(5), pages 1017-1074, September.
    27. Vishwanath, Tara, 1992. "Parallel Search for the Best Alternative," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 2(4), pages 495-507, October.
    28. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2010. "Online Demand Under Limited Consumer Search," Marketing Science, INFORMS, vol. 29(6), pages 1001-1023, 11-12.
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