ENTROPY-BASED ESTIMATION AND INFERENCE IN BINARY RESPONSE MODELS UNDER ENDOGENEITY
Douglas J. Miller,
Ron Mittelhammer () and
George G. Judge
No 20319, 2004 Annual meeting, August 1-4, Denver, CO from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)
This paper considers estimation and inference for the binary response model in the case where endogenous variables are included as arguments of the unknown link function. Semiparametric estimators are proposed that avoid the parametric assumptions underlying the likelihood approach as well as the loss of precision when using nonparametric estimation. Suggestions are made for how the utility maximization decision model can be altered to permit attributes to vary across alternatives.
Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea04:20319
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