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Nonseparable sample selection models with censored selection rules

Ivan Fernandez-Val, Aico van Vuuren and Francis Vella

Journal of Econometrics, 2024, vol. 240, issue 2

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 conditions for 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.

Keywords: Sample selection; Nonseparable models; Control function; Quantile and distribution regression (search for similar items in EconPapers)
JEL-codes: C14 C21 C24 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Nonseparable Sample Selection Models with Censored Selection Rules (2020) Downloads
Working Paper: Nonseparable Sample Selection Models with Censored Selection Rules (2018) Downloads
Working Paper: Nonseparable sample selection models with censored selection rules (2018) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:240:y:2024:i:2:s0304407621000567

DOI: 10.1016/j.jeconom.2021.01.009

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