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Estimating Derivatives in Nonseparable Models with Limited Dependent Variables Author info | Abstract | Publisher info | Download info | Related research | Statistics Joseph G. Altonji () (Dept. of Economics, Yale University )
Hidehiko Ichimura (University of Tokyo)
Taisuke Otsu () (Cowles Foundation, Yale University )
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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.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
1668.
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Length: 41 pages
Date of creation: Jul 2008Date of revision:
Handle: RePEc:cwl:cwldpp:1668Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
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Keywords: Censored regression Nonseparable models Endogenous regressors Tobit Extreme quantiles Other versions of this item:
Paper Joseph Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008.
"Estimating derivatives in nonseparable models with limited dependent variables ,"
CeMMAP working papers
CWP20/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
[Downloadable!] Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008.
"Estimating Derivatives in Nonseparable Models with Limited Dependent Variables ,"
NBER Working Papers
14161, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008.
"stimating Derivatives in Nonseparable Models with Limited Dependent Variables ,"
CIRJE F-Series
CIRJE-F-574, CIRJE, Faculty of Economics, University of Tokyo.
[Downloadable!] Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models
This paper has been announced in the following NEP Reports :
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Ana Fernandes, 2000.
"Altruism with Endogenous Labor Supply ,"
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Other versions: Ernesto Villanueva, 2002.
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Other versions: Joseph G. Altonji & Rosa L. Matzkin, 2001.
"Panel Data Estimators for Nonseparable Models with Endogenous Regressors ,"
NBER Technical Working Papers
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