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Estimating Consumer Lock-In Effects from Firm-Level Data

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  • Gábor Kézdi
  • Gergely Csorba

Abstract

This paper proposes a practical method for estimating consumer lock-in effects from firm-level data. The method compares the behavior of already contracted consumers to the behavior of new consumers, the latter serving as a counterfactual to the former. In panel regressions on firms’ incoming and quitting consumers, we look at the differential response to price changes and identify the lock-in effect from the difference between the two. We discuss the potential econometric issues and measurement problems and offer solutions to them. We illustrate our method by analyzing the market for personal loans in Hungary and find strong lock-in effects. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Gábor Kézdi & Gergely Csorba, 2013. "Estimating Consumer Lock-In Effects from Firm-Level Data," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 431-452, September.
    • Handle: RePEc:kap:jincot:v:13:y:2013:i:3:p:431-452
    DOI: 10.1007/s10842-012-0149-2
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    1. Pasquale Schiraldi, 2011. "Automobile replacement: a dynamic structural approach," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 266-291, June.
    2. Pradeep K. Chintagunta, 1998. "Inertia and Variety Seeking in a Model of Brand-Purchase Timing," Marketing Science, INFORMS, vol. 17(3), pages 253-270.
    3. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    4. Brigitte C. Madrian, 1994. "Employment-Based Health Insurance and Job Mobility: Is there Evidence of Job-Lock?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 27-54.
    5. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    6. Kim, Moshe & Kliger, Doron & Vale, Bent, 2003. "Estimating switching costs: the case of banking," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 25-56, January.
    7. Gábor Kézdi & Gergely Csorba, 2013. "Estimating Consumer Lock-In Effects from Firm-Level Data," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 431-452, September.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    10. Matthew Shum, 2004. "Does Advertising Overcome Brand Loyalty? Evidence from the Breakfast‐Cereals Market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(2), pages 241-272, June.
    11. Shy, Oz, 2002. "A quick-and-easy method for estimating switching costs," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 71-87, January.
    12. Lukasz Grzybowski, 2008. "Estimating Switching Costs in Mobile Telephony in the UK," Journal of Industry, Competition and Trade, Springer, vol. 8(2), pages 113-132, June.
    13. Beggs, Alan W & Klemperer, Paul, 1992. "Multi-period Competition with Switching Costs," Econometrica, Econometric Society, vol. 60(3), pages 651-666, May.
    14. Maicas, Juan Pablo & Polo, Yolanda & Javier Sese, F., 2009. "Reducing the level of switching costs in mobile communications: The case of Mobile Number Portability," Telecommunications Policy, Elsevier, vol. 33(9), pages 544-554, October.
    15. P. B. Seetharaman, 2004. "Modeling Multiple Sources of State Dependence in Random Utility Models: A Distributed Lag Approach," Marketing Science, INFORMS, vol. 23(2), pages 263-271, April.
    16. Avi Goldfarb, 2006. "State Dependence at Internet Portals," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 317-352, June.
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    1. Gábor Kézdi & Gergely Csorba, 2013. "Estimating Consumer Lock-In Effects from Firm-Level Data," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 431-452, September.
    2. Dancsik, Bálint & Marosi, Anna & Szabó, Beáta, 2022. "Túl drága az olcsó hitel - a családi otthonteremtési kedvezmény támogatott hitelkamatainak vizsgálata [Cheap loans are too expensive: an examination of interest rates on subsidised housing loans]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1493-1506.

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    More about this item

    Keywords

    lock-in; switching costs; demand analysis; difference-in-differences; personal loans; C33; D12; L13;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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