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Minimal and Maximal Just-Identified Assumptions in Nonparametric Selection Models

Brazilian Review of Econometrics

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Title Minimal and Maximal Just-Identified Assumptions in Nonparametric Selection Models
 
Creator Barros, Ricardo Paes de; Yale University
 
Subject

 
Description In this paper, we show minimal just identified restrictions for a class of selection models. We deepen our knowledge about selection on observables in three directions: First, we show the model proposed by Rosenbaum and Rubin is just-identified. Second, we show that although their assumptions are not minimal, the weak selection on observables-(WSO) hypothesis we introduce does, in fact, generate a set of minimal just-identified assumptions. Finally, we show the WSO hypothesis has an immediate and sensible economic interpretation. Specifically, we show that this hypothesis can be interpreted as bounds on the information available to the analyst. Basically, identification is achieved as long as the analyst's information set is rich enough so that he is able to predict migration decision, at the decision time. As a consequence, the identification conditions become weaker as the information which is assumed to be available to the analyst becomes larger. This approach certainly has a large tradition in econometrics (Zellner, Kmenta and Dreze (1966)). In the context of selection models, similar identification strategies have been followed by Goldberger (1972) and Heckman and Robb (1985, sec.5.4.3).
 
Publisher Sociedade Brasileira de Econometria
 
Contributor
 
Date 2010-01-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3695
10.12660/bre.v30n22010.3695
 
Source Brazilian Review of Econometrics; Vol 30, No 2 (2010): Special Volume in Honor of Ricardo Paes de Barros; 261-287
Brazilian Review of Econometrics; Vol 30, No 2 (2010): Special Volume in Honor of Ricardo Paes de Barros; 261-287
1980-2447
 
Language eng
 
Relation http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3695/2303