Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189701 
Year of Publication: 
2018
Series/Report no.: 
cemmap working paper No. CWP10/18
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
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 provide conditions under which these objects are appropriate for the total population. We also present results regarding the estimation of counterfactual distributions. We derive conditions for identification for these different objects and suggest strategies for estimation. We also provide the associated asymptotic theory. These strategies are illustrated in an empirical investigation of the determinants of female wages and wage growth in the United Kingdom.
Subjects: 
Sample selection
nonseparable models
control function
quantile and distribution regression
JEL: 
C14
C21
C24
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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