Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/72325 
Year of Publication: 
2006
Series/Report no.: 
UCD Centre for Economic Research Working Paper Series No. WP06/02
Publisher: 
University College Dublin, UCD School of Economics, Dublin
Abstract: 
Grouping models are widely used in economics but are subject to nite sample bias. I show that the standard errors-in-variables estimator (EVE) is exactly equivalent to the Jackknife Instrumental Variables Estimator (JIVE), and use this relationship to develop an estimator which, unlike EVE, is unbiased in nite samples. The theoretical results are demonstrated using Monte Carlo experiments. Finally, I implement a model of intertemporal male labor supply using microdata from the United States Census. There are sizeable differences in the wage elasticity across estimators, showing the practical importance of the theoretical issues even when the sample size is quite large.
Subjects: 
psuedo-panel
small sample bias
labor supply
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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