The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples
Ricardo Paes de Barros
Brazilian Review of Econometrics, 2010, vol. 30, issue 2
Abstract:
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.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://periodicos.fgv.br/bre/article/view/3673 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sbe:breart:v:30:y:2010:i:2:a:3673
Access Statistics for this article
Brazilian Review of Econometrics is currently edited by Daniel Monte
More articles in Brazilian Review of Econometrics from Sociedade Brasileira de Econometria - SBE Contact information at EDIRC.
Bibliographic data for series maintained by Núcleo de Computação da FGV EPGE ().