Spatial differentiation in the supermarket industry: The role of common information
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In this paper, I investigate the geographic location decisions of supermarkets to infer their tradeoffs between locating close to favorable demand conditions and differentiating themselves geographically from rivals. The model is based on a discrete-choice game between two types of supermarkets, and incorporates firm uncertainty arising from firm- and location-level private information as well as researcher uncertainty arising from location-level common information. Thus the model addresses the concern that firms’ actions may be based on factors that are unobservable to the researcher, thus correlated conditional on observables. The estimates reflect a significant level of common information. Importantly, I find that ignoring unobserved location heterogeneity results in biased estimates of both the competitive effects and the effects of location-specific observables on profits. Counterfactual predictions are therefore misleading if unobserved location heterogeneity is unaccounted for.
KeywordsProduct competition Retail competition Location choice Discrete games Common information
JEL ClassificationL10 M21 M30
I thank the Trade Dimensions for providing the data for research purposes. This paper is based on a chapter of my dissertation. I am indebted to Miguel Villas-Boas and Richard Gilbert for early guidance on this project. This paper has greatly benefitted from the comments of two anonymous referees, Daniel Ackerberg, Ying Fan, Jeremy Fox, Kostis Hatzitaskos, Puneet Manchanda, Pinar Karaca-Mandic, Peter Reiss, Peter Rossi, S. Sriram and Ting Zhu. I am grateful Tom Marini for data assistance. The usual disclaimer applies.
- Andrews, D., Berry, S., & Jia, P. (2005). Confidence regions for parameters in discrete games with multiple equilibria, with an application to discount chain store location. Yale University working paper.Google Scholar
- Berry, S., & Reiss, P. (2007). Empirical models of entry and market structure. In Handbook of industrial organization (Chapter 29 3, pp. 1845–1886).Google Scholar
- Datta, S., & Sudhir, K. (2012). Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety. Quantitative Marketing and Economics Science, in this issue.Google Scholar
- Gallagher, M. (2006). Examining the impact of food deserts on public health in Chicago. Mari Gallagher Research & Consulting Group.Google Scholar
- Grieco, P. L. (2011). Discrete games with flexible information structures: An application to local grocery markets. Working Paper, The Pennsylvania State University.Google Scholar
- Moffitt, R. A. (2001). Policy interventions, low-level equilibria, and social interactions. In S. Durlauf, & P. Young (Eds.), Social dynamics (pp. 45–82).Google Scholar
- Pakes, A., Porter, J., Ho, K., & Ishii, J. (2011). Moment inequalities and their application. Working paper, Harvard University.Google Scholar
- VerPloeg, M. (2009). Access to affordable and nutritious food: Measuring and understanding food deserts and their consequences. Report to Congress.Google Scholar