| Grant number: | 19/20277-3 |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| Effective date (Start): | January 01, 2020 |
| Effective date (End): | April 30, 2022 |
| Field of knowledge: | Applied Social Sciences - Economics - Quantitative Methods Applied to Economics |
| Principal Investigator: | Sergio Pinheiro Firpo |
| Grantee: | Stefanie Sayuri Sunao |
| Host Institution: | Instituto de Ensino e Pesquisa (Insper). São Paulo , SP, Brazil |
Abstract The objective of this project is to construct a consistent estimator that addresses the problem of sample selection in unconditional quantile models. The proposed approach is based on three steps: (i) estimation of a control function using a logistic distribution regression; (ii) construction of a counterfactual distribution of the latent dependent variable using the previously estimated control function; (iii) application of the Recentered Influence Function (RIF) on the variable recovered from the counterfactual distribution and, finally, we run an ordinary least square regression. Besides this theoretical contri-bution, we propose an empirical application to measure the impact of maternity in the gender gap in Brazil. (AU) | |
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