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Hamburger Prices and Spatial Econometrics

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  • Arturs Kalnins

Abstract

This paper applies spatial econometrics to hamburger price data to assess the degree of substitutability of products and locations of spatially dispersed franchised chains. First, while intrachain price variation exists, I find that hamburger prices at neighboring outlets of different chains are spatially uncorrelated. I conclude that their products are not close substitutes, which provides an explanation for why price promotions have not raised market share. I do find spatial price correlation, however, among proximate outlets of separate franchisees within the same chain. This finding implies that customers view proximate locations of a chain as substitutes.

Suggested Citation

  • Arturs Kalnins, 2003. "Hamburger Prices and Spatial Econometrics," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(4), pages 591-616, December.
    • Handle: RePEc:bla:jemstr:v:12:y:2003:i:4:p:591-616
    DOI: 10.1111/j.1430-9134.2003.00591.x
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    References listed on IDEAS

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    1. Levy, Daniel & Bergen, Mark & Dutta, Shantanu & Venable, Robert, 1997. "The Magnitude of Menu Costs: Direct Evidence from Large U.S. Supermarket Chains," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 112(3), pages 791-824.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    3. Lafontaine, Francine, 1999. "Franchising versus corporate ownership: The effect on price dispersion," Journal of Business Venturing, Elsevier, vol. 14(1), pages 17-34, January.
    4. Kathleen P. Bell & Nancy E. Bockstael, 2000. "Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Microlevel Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 72-82, February.
    5. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-965, July.
    6. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    7. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    8. Gasmi, F & Laffont, J J & Vuong, Q, 1992. "Econometric Analysis of Collusive Behavior in a Soft-Drink Market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 1(2), pages 277-311, Summer.
    9. Levy, David T & Reitzes, James D, 1992. "Anticompetitive Effects of Mergers in Markets with Localized Competition," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 8(2), pages 427-440, April.
    10. Slade, Margaret E, 1986. "Exogeneity Tests of Market Boundaries Applied to Petroleum Products," Journal of Industrial Economics, Wiley Blackwell, vol. 34(3), pages 291-303, March.
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