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Statistical Techniques For Estimating Relationships In Which The Dependent Variable Is Dichotomous

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  • Lee, K.W.
  • Hill, Lowell D.

Abstract

Researchers in the social sciences often encounter the methodological problems that arise when the dependent variable in the relationship is dichotomous. Several statistical techniques for estimating such relationships are available including the conditional probability model, probit model, logit model, and discriminant analysis. This paper will compare these methods and suggest criteria for selecting among the alternatives. A comparison of the estimated function obtained by each technique will be made using a set of empirical data relating to purchase of a grain dryer.

Suggested Citation

  • Lee, K.W. & Hill, Lowell D., 1974. "Statistical Techniques For Estimating Relationships In Which The Dependent Variable Is Dichotomous," 1974 Annual Meeting, August 18-21, College Station, Texas 284545, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea74:284545
    DOI: 10.22004/ag.econ.284545
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    Keywords

    Research Methods/ Statistical Methods;

    Statistics

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