Optimally Combining Censored and Uncensored Datasets

44 Pages Posted: 2 Dec 2008

See all articles by Paul J. Devereux

Paul J. Devereux

University College Dublin - Department of Economics; IZA Institute of Labor Economics

Gautam Tripathi

University of Connecticut - Department of Economics

Date Written: October 2008

Abstract

We develop a simple semiparametric framework for combining censored and uncensored samples so that the resulting estimators are consistent, asymptotically normal, and use all information optimally. No nonparametric smoothing is required to implement our estimators.

To illustrate our results in an empirical setting, we show how to estimate the effect of changes in compulsory schooling laws on age at first marriage, a variable that is censored for younger individuals. We find positive effects of the laws on age at first marriage but the effects are much smaller than would be inferred if one ignored the censoring problem. Results from a small simulation experiment suggest that the estimator proposed in this paper can work very well in finite samples.

Keywords: age at first marriage, censored data, compulsory schooling

JEL Classification: C34, J12

Suggested Citation

Devereux, Paul J. and Tripathi, Gautam, Optimally Combining Censored and Uncensored Datasets (October 2008). CEPR Discussion Paper No. DP6990, Available at SSRN: https://ssrn.com/abstract=1308061

Paul J. Devereux (Contact Author)

University College Dublin - Department of Economics ( email )

Belfield
Dublin 4, 4
Ireland

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Gautam Tripathi

University of Connecticut - Department of Economics ( email )

365 Fairfield Way, U-1063
Storrs, CT 06269-1063
United States

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