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A note on consistency of Heckman-type two-step estimators for the multivariate sample-selection model.

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dc.creator Tauchmann, Harald
dc.date 2006
dc.date.accessioned 2013-10-16T07:00:39Z
dc.date.available 2013-10-16T07:00:39Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/18591
dc.identifier ppn:511472951
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/18591
dc.description This analysis shows that multivariate generalizations to the classical Heckman (1976 and 1979) two-step estimator that account for cross-equation correlation and use the inverse Mills ratio as a correction-term are consistent only if certain restrictions apply to the true error-covariance structure.We derive an alternative class of generalizations to the classical Heckman two-step approach that conditions on the entire selection pattern rather than the selection of particular equations and, therefore, uses modified correction-terms. This class of estimators is shown to be consistent. In addition, Monte-Carlo results illustrate that these estimators display a smaller mean square prediction error.
dc.language eng
dc.publisher
dc.relation RWI Discussion Papers 40
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C51
dc.subject C34
dc.subject C15
dc.subject ddc:330
dc.subject Multivariate sample-selection model
dc.subject censored system of equations
dc.subject Heckman-correction
dc.title A note on consistency of Heckman-type two-step estimators for the multivariate sample-selection model.
dc.type doc-type:workingPaper


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