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New Estimation Strategies for Demand Threshold Models in the Southern United States

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  • Hong, Junpyo
  • Fannin, James Matthew

Abstract

This paper estimates demand threshold models using both first generation log-log models and second generation Tobit models to zip code areas in the Southern US. Results of own-place demographic and economic variables were consistent with previous studies but impacts of neighboring zip codes contrasted previous studies.

Suggested Citation

  • Hong, Junpyo & Fannin, James Matthew, 2007. "New Estimation Strategies for Demand Threshold Models in the Southern United States," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34869, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeasm:34869
    DOI: 10.22004/ag.econ.34869
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    References listed on IDEAS

    as
    1. David Mushinski & Stephen Weiler, 2002. "A Note on the Geographic Interdependencies of Retail Market Areas," Journal of Regional Science, Wiley Blackwell, vol. 42(1), pages 75-86, February.
    2. James W. Henderson & Thomas M. Kelly & Beck A. Taylor, 2000. "The Impact of Agglomeration Economies on Estimated Demand Thresholds: An Extension of Wensley and Stabler," Journal of Regional Science, Wiley Blackwell, vol. 40(4), pages 719-733, November.
    3. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    4. Veall, Michael R & Zimmermann, Klaus F, 1994. "Goodness of Fit Measures in the Tobit Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 485-499, November.
    5. Dawn Thilmany & Nicole McKenney & David Mushinski & Stephan Weiler, 2005. "Beggar-thy-neighbor economic development: A note on the effect of geographic interdependencies in rural retail markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(3), pages 593-605, September.
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