[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v37y2018i5p812-837.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mksc.2018.1100
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2018.1100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 964-982, December.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    21. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    22. 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.
    23. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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. 48(2), pages 1-16, June.
    3. Diego Aparicio & Zachary Metzman & Roberto Rigobon, 2024. "The pricing strategies of online grocery retailers," Quantitative Marketing and Economics (QME), Springer, vol. 22(1), pages 1-21, March.
    4. Kopalle, Praveen K. & Pauwels, Koen & Akella, Laxminarayana Yashaswy & Gangwar, Manish, 2023. "Dynamic pricing: Definition, implications for managers, and future research directions," Journal of Retailing, Elsevier, vol. 99(4), pages 580-593.
    5. Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
    6. Tommy Staahl Gabrielsen & Bjørn Olav Johansen & Odd Rune Straume, 2023. "National pricing with local quality competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 48-74, January.
    7. Bryan Bollinger & Steven E. Sexton, 2023. "Local excise taxes, sticky prices, and spillovers: evidence from Berkeley’s soda tax," Quantitative Marketing and Economics (QME), Springer, vol. 21(2), pages 281-331, June.
    8. Homburg, Christian & Lauer, Karin & Vomberg, Arnd, 2019. "The multichannel pricing dilemma: Do consumers accept higher offline than online prices?," International Journal of Research in Marketing, Elsevier, vol. 36(4), pages 597-612.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
    4. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
    5. Lou, Weifang & Prentice, David & Yin, Xiangkang, 2008. "The Effects of Product Ageing on Demand: The Case of Digital Cameras," MPRA Paper 13407, University Library of Munich, Germany.
    6. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1445-1488, December.
    7. Chen, Jiawei & Esteban, Susanna & Shum, Matthew, 2008. "Demand and supply estimation biases due to omission of durability," Journal of Econometrics, Elsevier, vol. 147(2), pages 247-257, December.
    8. Weifang Lou, 2009. "Estimating the Impact of a Potential Process Innovation and the Optimal Strategy of Licensing," Working Papers 2009.03, School of Economics, La Trobe University.
    9. Dobson, Paul W. & Waterson, Michael, 2008. "Chain-Store Competition: Customized vs. Uniform Pricing," Economic Research Papers 269789, University of Warwick - Department of Economics.
    10. Kim, Hyunchul & Kim, Kyoo il, 2017. "Estimating store choices with endogenous shopping bundles and price uncertainty," International Journal of Industrial Organization, Elsevier, vol. 54(C), pages 1-36.
    11. Mariuzzo, Franco & Walsh, Patrick Paul & Whelan, Ciara, 2010. "Coverage of retail stores and discrete choice models of demand: Estimating price elasticities and welfare effects," International Journal of Industrial Organization, Elsevier, vol. 28(5), pages 555-578, September.
    12. Stéphane Turolla, 2016. "Spatial Competition in the French Supermarket Industry," Annals of Economics and Statistics, GENES, issue 121-122, pages 213-259.
    13. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.
    14. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2020. "One Markup to Rule Them All: Taxation by Liquor Pricing Regulation," American Economic Journal: Microeconomics, American Economic Association, vol. 12(1), pages 1-41, February.
    15. Yufeng Huang & Bart J. Bronnenberg, 2023. "Consumer Transportation Costs and the Value of E-Commerce: Evidence from the Dutch Apparel Industry," Marketing Science, INFORMS, vol. 42(5), pages 984-1003, September.
    16. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    17. David Besanko & Jean-Pierre Dubé & Sachin Gupta, 2003. "Competitive Price Discrimination Strategies in a Vertical Channel Using Aggregate Retail Data," Management Science, INFORMS, vol. 49(9), pages 1121-1138, September.
    18. Pradeep K. Chintagunta & Marco Shaojun Qin & Maria Ana Vitorino, 2018. "Licensing and Price Competition in Tied-Goods Markets: An Application to the Single-Serve Coffee System Industry," Marketing Science, INFORMS, vol. 37(6), pages 883-911, November.
    19. Cheng Chou & Tim Derdenger & Vineet Kumar, 2019. "Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality," Marketing Science, INFORMS, vol. 38(5), pages 888-909, September.
    20. Pinar Karaca-Mandic, 2011. "Role of complementarities in technology adoption: The case of DVD players," Quantitative Marketing and Economics (QME), Springer, vol. 9(2), pages 179-210, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:37:y:2018:i:5:p:812-837. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.