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An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition

Author

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  • Yang Li

    (Cheung Kong Graduate School of Business, 100006 Beijing, China)

  • Brett R. Gordon

    (Northwestern University, Kellogg School of Management, Evanston, Illinois 60208)

  • Oded Netzer

    (Columbia Business School, Columbia University, New York, New York 10027)

Abstract

Geographic price discrimination is generally considered beneficial to firm profitability. However, theoretical results point to conditions under which firms might prefer to price across markets uniformly in oligopolistic settings. This paper provides an empirical analysis of competitive price discrimination and quantitatively assesses the profitability of national pricing relative to store-level pricing policies under different market conditions. Specifically, we construct and estimate a model of retail competition using extensive data from the digital camera market. A series of counterfactuals show that, under reasonable commitment mechanisms, two leading chains would benefit from employing national pricing policies, whereas a discount retailer should target prices in each local market. Additional results explore the boundary conditions of these findings and evaluate hybrid pricing policies.

Suggested Citation

  • Yang Li & Brett R. Gordon & Oded Netzer, 2018. "An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition," Marketing Science, INFORMS, vol. 37(5), pages 812-837, September.
  • Handle: RePEc:inm:ormksc:v:37:y:2018:i:5:p:812-837
    DOI: 10.1287/mksc.2018.1100
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    References listed on IDEAS

    as
    1. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    2. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    3. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
    4. Daniel A. Ackerberg & Marc Rysman, 2005. "Unobserved Product Differentiation in Discrete-Choice Models: Estimating Price Elasticities and Welfare Effects," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 771-788, Winter.
    5. Kenneth S. Corts, 1998. "Third-Degree Price Discrimination in Oligopoly: All-Out Competition and Strategic Commitment," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 306-323, Summer.
    6. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    7. Yang Li & Asim Ansari, 2014. "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models," Management Science, INFORMS, vol. 60(5), pages 1161-1179, May.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    10. Brian Adams & Kevin R. Williams, 2019. "Zone Pricing in Retail Oligopoly," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 124-156, February.
    11. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
    12. Stefano DellaVigna & Matthew Gentzkow, 2019. "Uniform Pricing in U.S. Retail Chains," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2011-2084.
    13. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    14. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    15. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
    16. Bart Bronnenberg, 2008. "Brand competition in CPG industries: Sustaining large local advantages with little product differentiation," Quantitative Marketing and Economics (QME), Springer, vol. 6(1), pages 79-107, March.
    17. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    18. Rao, Vithala R, 1984. "Pricing Research in Marketing: The State of the Art," The Journal of Business, University of Chicago Press, vol. 57(1), pages 39-60, January.
    19. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    20. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 964-982, December.
    21. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    22. 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.
    23. Pradeep Chintagunta & Jean-Pierre Dubé & Vishal Singh, 2003. "Balancing Profitability and Customer Welfare in a Supermarket Chain," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 111-147, March.
    24. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    25. Carranza, Juan Esteban, 2010. "Product innovation and adoption in market equilibrium: The case of digital cameras," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 604-618, November.
    26. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    27. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    28. Venkatesh Shankar & Ruth N. Bolton, 2004. "An Empirical Analysis of Determinants of Retailer Pricing Strategy," Marketing Science, INFORMS, vol. 23(1), pages 28-49, May.
    29. Rajiv Lal & Ram Rao, 1997. "Supermarket Competition: The Case of Every Day Low Pricing," Marketing Science, INFORMS, vol. 16(1), pages 60-80.
    30. Paul W. Dobson & Michael Waterson, 2005. "Chain‐Store Pricing Across Local Markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(1), pages 93-119, March.
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    Cited by:

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    5. Beck, Guenter W. & Kotz, Hans-Helmut & Zabelina, Natalia, 2020. "Price gaps at the border: Evidence from multi-country household scanner data," Journal of International Economics, Elsevier, vol. 127(C).
    6. Kiczmachowska Ewa E. & de Pourbaix Paweł & Jemielniak Dariusz, 2023. "Price Differentiation in Online and Offline Retail: An Empirical Study of Current Practices," Marketing of Scientific and Research Organizations, Sciendo, vol. 28(2), pages 1-16, June.

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