Is Earnings Nonresponse Ignorable?
Christopher Bollinger and
Barry Hirsch ()
The Review of Economics and Statistics, 2013, vol. 95, issue 2, 407-416
Abstract:
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the March survey. If nonresponse is ignorable, unbiased estimates can be achieved by omitting nonrespondents. Little is known about whether CPS nonresponse is ignorable. Using sample frame measures to identify selection, we find clear-cut evidence among men but limited evidence among women for negative selection into response. Wage equation slope coefficients are affected little by selection, but because of intercept shifts, wages for men and, to a lesser extent, women are understated, as are gender gaps. Selection is least severe among household heads. © 2013 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.
Keywords: earnings nonresponse; Current Population Survey; wages (search for similar items in EconPapers)
JEL-codes: C81 J31 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00264 link to full text PDF (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Is Earnings Nonresponse Ignorable? (2010) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:95:y:2013:i:2:p:407-416
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().