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Consumer Benefits from Increased Competition in Shopping Outlets: Measuring the Effect of Wal-Mart

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  • Jerry Hausman

    ()
    (Institute for Fiscal Studies and Massachusetts Institute of Technology)

  • Ephraim Leibtag

Abstract

Consumers often benefit from increased competition in differentiated product settings. In previous research Hausman (1997a, 1997b, 1999, 2002) has estimated the increased consumer welfare from the introduction of new brand, e.g. Apple Cinnamon Cheerios, and new products, e.g. mobile telephones. In this paper we consider consumer benefits from increased competition in a differentiated product setting: the spread of nontraditional retail outlets. Non-traditional outlets, including supercenters, warehouse club stores, and mass merchandisers have grown in popularity and nearly doubled their share of consumer food-at-home expenditures from 1998 to 20033. Within this non-traditional retail group, supercenters have experienced the largest increase over this time period, but warehouse club stores and dollar stores have also experienced significant increases in their share of the consumer food dollar as U.S. consumers attempt to find the best combination of prices and services at their retailer of choice.

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Bibliographic Info

Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP06/06.

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Length: 33 pp.
Date of creation: Mar 2006
Date of revision:
Handle: RePEc:ifs:cemmap:06/06

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  1. Hausman, Jerry A. & Taylor, William E., 1981. "Panel data and unobservable individual effects," Journal of Econometrics, Elsevier, vol. 16(1), pages 155-155, May.
  2. Hausman, Jerry A & Leonard, Gregory K, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-63, September.
  3. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
  4. Hausman, J.A. & Newey, W.K., 1992. "Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss," Working papers 93-2, Massachusetts Institute of Technology (MIT), Department of Economics.
  5. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-30, January.
  6. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
  7. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
  8. Jerry Hausman, 1997. "Cellular Telephone, New Products and the CPI," NBER Working Papers 5982, National Bureau of Economic Research, Inc.
  9. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-82, November.
  10. Jerry Hausman & Ephraim Leibtag, 2004. "CPI Bias from Supercenters: Does the BLS Know that Wal-Mart Exists?," NBER Working Papers 10712, National Bureau of Economic Research, Inc.
  11. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
  12. Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1.
  13. Hausman, Jerry A, 1981. "Exact Consumer's Surplus and Deadweight Loss," American Economic Review, American Economic Association, vol. 71(4), pages 662-76, September.
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