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Count Data Models of Prescribed Fire Escapes

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  • Mitchell, Paul D.
  • Buman, Thomas
  • Buman, Stanley

Abstract

We specify several count data models, parameterizing the probability densities in terms of their means for easier comparison between models. In addition, we derived a correction of these probability densities for differences in sample sizes, which is a contribution to the count data literature as far as we are aware. We then empirically implement these models using data from a mail survey of firms using prescribed fire to estimate the expected number of escapes from prescribed burns. We find that the not correcting for sample size differences can lead to erroneous conclusions concerning the statistical significance of variables.

Suggested Citation

  • Mitchell, Paul D. & Buman, Thomas & Buman, Stanley, 2006. "Count Data Models of Prescribed Fire Escapes," 2006 Annual meeting, July 23-26, Long Beach, CA 21055, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21055
    DOI: 10.22004/ag.econ.21055
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    References listed on IDEAS

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    1. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
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