The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples
Brazilian Review of Econometrics
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Title |
The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples
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Creator |
Barros, Ricardo Paes de; Secretária da Presidência da República (SAE/PR)
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Subject |
Identification, Average Treatment Effect, Conditional Independence Assumptions
C14, C21, C25 |
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Description |
This paper presents conditions for the identification of the AVERAGE effect of training CONSTRAINED to the population of trainees. All of the identification conditions we consider are based on a variety of conditional independence assumptions. More specifically, they assume the participation status and post-training latent earnings are conditionally (mean) independent. The identification conditions differ according to the conditioning set they use. Nowhere are any functional-form imposed. In either words, a nonparametric approach has been taken. Moreover, the conditions are robust to choice-based sampling.
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Publisher |
Sociedade Brasileira de Econometria
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Contributor |
—
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Date |
2010-12-02
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — — |
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Format |
application/pdf
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Identifier |
http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3673
10.12660/bre.v30n22010.3673 |
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Source |
Brazilian Review of Econometrics; Vol 30, No 2 (2010): Special Volume in Honor of Ricardo Paes de Barros; 195-228
Brazilian Review of Econometrics; Vol 30, No 2 (2010): Special Volume in Honor of Ricardo Paes de Barros; 195-228 1980-2447 |
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Language |
eng
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Relation |
http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3673/2298
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