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"We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables. We treat models in which Y is censored from above or below or potentially from both. The basic idea is to first estimate the derivative of the conditional mean of Y given X at x with respect to x on the uncensored sample without correcting for the effect of changes in x induced on the censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and semiparametric estimators for the derivative. As extensions, we discuss the cases of discrete regressors, measurement error in dependent variables, and endogenous regressors in a cross section and panel data context"--National Bureau of Economic Research web site.
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Estimating derivatives in nonseparable models with limited dependent variables
2008, National Bureau of Economic Research
Electronic resource
in English
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Book Details
Edition Notes
Title from PDF file as viewed on 7/23/2008.
Includes bibliographical references.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
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- Created September 27, 2008
- 5 revisions
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December 22, 2020 | Edited by MARC Bot | import existing book |
July 31, 2012 | Edited by VacuumBot | Updated format '[electronic resource] /' to 'Electronic resource' |
December 15, 2009 | Edited by WorkBot | link works |
October 28, 2008 | Edited by ImportBot | Found a matching Library of Congress MARC record |
September 27, 2008 | Created by ImportBot | Imported from Library of Congress MARC record |