Nonseparable Sample Selection Models with Censored Selection Rules

Iván Fernández-Val, Aico van Vuuren, Francis Vella

arXiv 26 Jan 2018 · Econometrics · publishedJournal of Econometrics (2021) · 5 citations (OpenAlex)

arXiv:1801.08961 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We consider identification and estimation of nonseparable sample selection models with censored selection rules. We employ a control function approach and discuss different objects of interest based on (1) local effects conditional on the control function, and (2) global effects obtained from integration over ranges of values of the control function. We derive the conditions for the identification of these different objects and suggest strategies for estimation. Moreover, we provide the associated asymptotic theory. These strategies are illustrated in an empirical investigation of the determinants of female wages in the United Kingdom.

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arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

	Citing paper	Intensity	Mentions	Sections
1	Estimating Nonseparable Selection Models: A Functional Contraction Approach	0.511	2	1
2	Distribution Regression with Censored Selection$^*$	0.511	2	1
3	Identification of Treatment Effects under Limited Exogenous Variation	0.405	1	1
4	Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps	0.405	1	1
5	Bivariate distribution regression; theory, estimation and an application to intergenerational mobility	0.405	1	1