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Estimation Of Minimum Demand Thresholds: An Application Of Count Data Procedures With The Existence Of Excess Zero Observations

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  • Harris, Thomas R.
  • Yen, Steven T.
  • Deller, Steven C.

Abstract

Count data models that incorporate the existence of excess zero observations were employed to estimate minimum demand thresholds for rural Wisconsin retail sectors. It was found that single- and double-hurdle models improved the estimation of rural retail minimum demand thresholds.

Suggested Citation

  • Harris, Thomas R. & Yen, Steven T. & Deller, Steven C., 2000. "Estimation Of Minimum Demand Thresholds: An Application Of Count Data Procedures With The Existence Of Excess Zero Observations," 2000 Annual meeting, July 30-August 2, Tampa, FL 21849, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea00:21849
    DOI: 10.22004/ag.econ.21849
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    References listed on IDEAS

    as
    1. Thomas R. Harris & Kalyan Chakraborty & Lijuan Xiao & Rangesan Narayanan, 1996. "Application Of Count Data Procedures To Estimate Thresholds For Rural Commercial Sectors," The Review of Regional Studies, Southern Regional Science Association, vol. 26(1), pages 75-88, Summer.
    2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    3. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    4. Dean Howard Smith, 1994. "Native American Economic Development: A Modern Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 24(1), pages 87-102, Summer.
    5. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    6. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-10, December.
    7. Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
    8. Deller, Steven C. & Chicoine, David L., 1989. "Economic Diversification and the Rural Economy: Evidence from Consumer Behavior," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 19(2), pages 1-15.
    9. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    10. Gurmu, Shiferaw, 1998. "Generalized hurdle count data regression models," Economics Letters, Elsevier, vol. 58(3), pages 263-268, March.
    11. William F. Fox & Tim R. Smith, 1990. "Economic development programs for states in the 1990s," Economic Review, Federal Reserve Bank of Kansas City, vol. 75(Jul), pages 25-35.
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    Cited by:

    1. Kalyan Chakraborty, 2012. "Estimation of Minimum Market Threshold for Retail Commercial Sectors," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 271-286, August.

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