Full Citation

Title: Optimally Combining Censored and Uncensored Datasets

Citation Type: Journal Article

Publication Year: 2009

ISBN:

ISSN:

DOI: 10.1016/J.JECONOM.2009.03.012

NSFID:

PMCID:

PMID:

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. Results from a small simulation experiment suggest that the estimator proposed in this paper can work very well in finite samples.

Url: https://www.sciencedirect.com/science/article/pii/S0304407609000852?via%3Dihub

User Submitted?: No

Authors: Devereux, Paul J.; Tripathi, Gautam

Periodical (Full): Journal of Econometrics

Issue: 1

Volume: 151

Pages: 17-32

Data Collections: IPUMS CPS

Topics: Family and Marriage, Fertility and Mortality, Methodology and Data Collection

Countries: