Self-selection bias in longitudinal estimation of wage gaps
dc.contributor.author | Solon, Gary | en_US |
dc.date.accessioned | 2006-04-07T20:30:37Z | |
dc.date.available | 2006-04-07T20:30:37Z | |
dc.date.issued | 1988 | en_US |
dc.identifier.citation | Solon, Gary (1988)."Self-selection bias in longitudinal estimation of wage gaps." Economics Letters 28(3): 285-290. <http://hdl.handle.net/2027.42/27523> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V84-4590Y42-151/2/7a303e0e51c678180005c4e3e1361b46 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27523 | |
dc.description.abstract | Cross-sectional regression analyses of wage gaps may be biased by omission of unobserved worker characteristics. Recent studies therefore have used longitudinal data to `difference out' the effects of such variables. This paper, however, shows that self-selection of job changers may cause longitudinal estimation of wage gaps to be inconsistent. | en_US |
dc.format.extent | 460224 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Self-selection bias in longitudinal estimation of wage gaps | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor, MI 48109-1220, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27523/1/0000567.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0165-1765(88)90133-4 | en_US |
dc.identifier.source | Economics Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.