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Spatial Competition in the French Supermarket Industry

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  • Stéphane Turolla

Abstract

This paper challenges the conventional wisdom of a competitive grocery retail sector in France. To measure the intensity of competition in this sector, I develop a structural model of spatial competition that accounts for (i) market geography on consumers' preferences, and (ii) differences in their shopping list. The demand estimates are used to recover stores' price-cost margin under alternative pricing strategies. I select the best pricing model by applying non-nested tests and show that retailers noticeably distort their offer in highly concentrated markets. Retail competition in the French supermarket industry appears to be highly localized in that margins are very sensitive to the presence of a competitor within a few kilometers. Finally, I perform counterfactual experiments to quantify the expected gain of an additional store on consumer welfare and retail prices,

Suggested Citation

  • Stéphane Turolla, 2016. "Spatial Competition in the French Supermarket Industry," Annals of Economics and Statistics, GENES, issue 121-122, pages 213-259.
  • Handle: RePEc:adr:anecst:y:2016:i:121-122:p:213-259
    DOI: 10.15609/annaeconstat2009.121-122.213
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    References listed on IDEAS

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    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. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    3. Chiou, Lesley & Walker, Joan L., 2007. "Masking identification of discrete choice models under simulation methods," Journal of Econometrics, Elsevier, vol. 141(2), pages 683-703, December.
    4. Michael A. Cohen & Ronald W. Cotterill, 2011. "Assessing The Impact Of Retailer Store Brand Presence On Manufacturer Brands In An Equilibrium Framework," Journal of Industrial Economics, Wiley Blackwell, vol. 59(3), pages 372-395, September.
    5. Pierre Biscourp & Xavier Boutin & Thibaud Vergé, 2013. "The Effects of Retail Regulations on Prices: Evidence from the Loi Galland," Economic Journal, Royal Economic Society, vol. 123(12), pages 1279-1312, December.
    6. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    7. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    8. Céline Bonnet & Pierre Dubois, 2010. "Inference on vertical contracts between manufacturers and retailers allowing for nonlinear pricing and resale price maintenance," RAND Journal of Economics, RAND Corporation, vol. 41(1), pages 139-164.
    9. Allain, Marie-Laure & Chambolle, Claire, 2011. "Anti-competitive effects of resale-below-cost laws," International Journal of Industrial Organization, Elsevier, vol. 29(4), pages 373-385, July.
    10. Brian McManus, 2007. "Nonlinear pricing in an oligopoly market: the case of specialty coffee," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 512-532, June.
    11. repec:rje:randje:v:37:y:2006:i:4:p:964-982 is not listed on IDEAS
    12. Manuszak, Mark D., 2010. "Predicting the impact of upstream mergers on downstream markets with an application to the retail gasoline industry," International Journal of Industrial Organization, Elsevier, vol. 28(1), pages 99-111, January.
    13. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    14. Sofia Berto Villas-Boas, 2007. "Vertical Relationships between Manufacturers and Retailers: Inference with Limited Data," Review of Economic Studies, Oxford University Press, vol. 74(2), pages 625-652.
    15. Smith, Richard J, 1992. "Non-nested.Tests for Competing Models Estimated by Generalized Method of Moments," Econometrica, Econometric Society, vol. 60(4), pages 973-980, July.
    16. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    17. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    18. 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.
    19. Lesley Chiou, 2009. "Empirical Analysis of Competition between Wal-Mart and Other Retail Channels," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(2), pages 285-322, June.
    20. Howard Smith, 2004. "Supermarket Choice and Supermarket Competition in Market Equilibrium," Review of Economic Studies, Oxford University Press, vol. 71(1), pages 235-263.
    21. Timothy J. Richards & Stephen F. Hamilton, 2006. "Rivalry in Price and Variety among Supermarket Retailers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 710-726.
    22. Patrick Rey & Thibaud Vergé, 2010. "Resale Price Maintenance And Interlocking Relationships," Journal of Industrial Economics, Wiley Blackwell, vol. 58(4), pages 928-961, December.
    23. Barros, Pedro Pita & Brito, Duarte & de Lucena, Diogo, 2006. "Mergers in the food retailing sector: An empirical investigation," European Economic Review, Elsevier, vol. 50(2), pages 447-468, February.
    24. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, June.
    25. Raphael Thomadsen, 2005. "The Effect of Ownership Structure on Prices in Geographically Differentiated Industries," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 908-929, Winter.
    26. repec:zwi:journl:v:59:y:2011:i:3:p:372-395 is not listed on IDEAS
    27. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June.
    28. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    29. Asplund, Marcus & Friberg, Richard, 2002. " Food Prices and Market Structure in Sweden," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 547-566, December.
    30. Dubois, Pierre & Jodar-Rosell, Sandra, 2010. "Price and Brand Competition between Differentiated Retailers: A Structural Econometric Model," IDEI Working Papers 604, Institut d'Économie Industrielle (IDEI), Toulouse.
    31. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
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    Citations

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    Cited by:

    1. Marie-Laure Allain & Claire Chambolle & Stéphane Turolla & Sofia B. Villas-Boas, 2013. "The Impact of Retail Mergers on Food Prices : Evidence from France," Working Papers 2013-18, Center for Research in Economics and Statistics.
    2. Bonnet, Céline & Bouamra-Mechemache, Zohra & Klein, Gordon & Richards, Timothy J., 2016. "Strategic Obfuscation and Retail Pricing," TSE Working Papers 16-733, Toulouse School of Economics (TSE).

    More about this item

    Keywords

    Spatial Competition; Structural Model; Discrete Choice Model; Differentiated Products; Supermarket Industry.;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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