Small-sample bias in synthetic cohort models of labor supply Export

@article{citeulike:2437220, abstract = {This paper investigates small-sample biases in synthetic cohort models (repeated cross-sectional data grouped at the cohort and year level) in the context of a female labor supply model. I use the Current Population Survey to compare estimates when group sizes are extremely large to those that arise from randomly drawing subsamples of observations from the large groups. I augment this approach with Monte Carlo analysis so as to precisely quantify biases and coverage rates. In this particular application, thousands of observations per group are required before small-sample issues can be ignored in estimation and sampling error leads to large downward biases in the estimated income elasticity. Copyright {\copyright} 2007 John Wiley \& Sons, Ltd.}, address = {School of Economics and Geary Institute, University College Dublin, Ireland}, author = {Devereux, Paul J.}, citeulike-article-id = {2437220}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/jae.938}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/114277453/ABSTRACT}, doi = {10.1002/jae.938}, journal = {Journal of Applied Econometrics}, keywords = {cohort, panel, pseudo}, number = {4}, pages = {839--848}, posted-at = {2008-02-27 15:07:44}, priority = {2}, title = {Small-sample bias in synthetic cohort models of labor supply}, url = {http://dx.doi.org/10.1002/jae.938}, volume = {22}, year = {2007} }

TY - JOUR ID - citeulike:2437220 L3 - citeulike-article-id:2437220 N2 - This paper investigates small-sample biases in synthetic cohort models (repeated cross-sectional data grouped at the cohort and year level) in the context of a female labor supply model. I use the Current Population Survey to compare estimates when group sizes are extremely large to those that arise from randomly drawing subsamples of observations from the large groups. I augment this approach with Monte Carlo analysis so as to precisely quantify biases and coverage rates. In this particular application, thousands of observations per group are required before small-sample issues can be ignored in estimation and sampling error leads to large downward biases in the estimated income elasticity. Copyright © 2007 John Wiley & Sons, Ltd. IS - 4 JF - Journal of Applied Econometrics AD - School of Economics and Geary Institute, University College Dublin, Ireland EP - 848 TI - Small-sample bias in synthetic cohort models of labor supply VL - 22 SP - 839 KW - cohort KW - panel KW - pseudo AU - Devereux, Paul PY - 2007/// UR - http://dx.doi.org/10.1002/jae.938 ER -