Optimally combining censored and uncensored datasets
|Title:||Optimally combining censored and uncensored datasets||Authors:||Devereux, Paul J.
|Permanent link:||http://hdl.handle.net/10197/744||Date:||Sep-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. Results from a small simulation experiment suggest that the estimator proposed in this paper can work very well in finite samples.||Type of material:||Working Paper||Publisher:||University College Dublin. School of Economics||Copyright (published version):||UCD School of Economics 2008||Subject LCSH:||Sampling (Statistics)
|Language:||en||Status of Item:||Not peer reviewed|
|Appears in Collections:||Economics Working Papers & Policy Papers|
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