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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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Author Info
Harris, Thomas R.
Yen, Steven
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.

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File URL: http://purl.umn.edu/21849
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2000 Annual meeting, July 30-August 2, Tampa, FL with number 21849.

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Date of creation: 2000
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Handle: RePEc:ags:aaea00:21849

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Related research
Keywords: Consumer/Household Economics; Demand and Price Analysis;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December. [Downloadable!] (restricted)
  2. Shonkwiler, J.S. & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December. [Downloadable!]
  3. Gurmu, Shiferaw, 1998. "Generalized hurdle count data regression models," Economics Letters, Elsevier, vol. 58(3), pages 263-268, March. [Downloadable!] (restricted)
  4. Tim R. Smith & William F. Fox, 1990. "Economic development programs for states in the 1990s," Economic Review, Federal Reserve Bank of Kansas City, issue Jul, pages 25-35. [Downloadable!]
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