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Small-sample bias in synthetic cohort models of labor supply Author info | Abstract | Publisher info | Download info | Related research | Statistics Paul J. Devereux (School of Economics and Geary Institute, University College Dublin, Ireland)
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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.
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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics .
Volume (Year): 22 (2007)
Issue (Month): 4 ()
Pages: 839-848
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Handle: RePEc:jae:japmet:v:22:y:2007:i:4:p:839-848Contact details of provider: Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Paul J. Devereux, 2007.
"Small-sample bias in synthetic cohort models of labor supply ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
[Downloadable!]
Other versions: Daniel A. Ackerberg & Paul J. Devereux, 2008.
"Improved Jive Estimators for Overidentified Linear Models with and without Heteroskedasticity ,"
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200817, School Of Economics, University College Dublin.
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Ackerberg, Daniel & Devereux, Paul J., 2008.
"Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity ,"
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[Downloadable!] (restricted) Daniel A Ackerberg & Paul J Devereux, 2009.
"Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity ,"
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[Downloadable!] (restricted) Paul J Devereux, 2006.
"Improved Errors-in-Variables Estimators for Grouped Data ,"
Working Papers
200602, School Of Economics, University College Dublin.
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Other versions:
Devereux, Paul J., 2007.
"Improved Errors-in-Variables Estimators for Grouped Data ,"
CEPR Discussion Papers
6167, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted) Devereux, Paul J., 2007.
"Improved Errors-in-Variables Estimators for Grouped Data ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 25, pages 278-287, July.
[Downloadable!] (restricted)
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