The Estimation and Interpretation of Several Selectivity Models.

Abstract

In recent years there have been a large number of studies that deal with the problem of selectivity bias in the data. Here the term 'selectivity bias' refers to non-randomly distributed observed data. This non-randomness can occur whenever the data we have are generated by the choices that individuals make. A review of selectivity problems in econometric models can be found in two papers by Maddala (1977). The purpose of the present paper is to review several models not discussed in Maddala's (1977) papers, and to give a further interpretation of the covariance terms that are particular to selectivity models. This should enhance the understanding of these models.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA075941

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  • Robert P. Trost

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