Movin on up: interpreting the earnings experience profile
Alan Manning
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
Human capital theory provides the generally accepted interpretation of the relationship between earnings and labour market experience, namely that general human capital tends to increase with experience. However, there are other plausible interpretations e.g. search models generally predict that more time in the labour market increases the chance of finding a better match and hence tends to be associated with higher earnings. In this paper we show how a simple search model can be used to predict the amount of earnings growth that can be assigned to search with the residual being assigned to the human capital model. We show how a substantial if not the larger part of the rise in earnings over the life-cycle in Britain can be explained by a simple search model and that virtually all the earnings gap between men and women can be explained in this way. Overall, the evidence suggests that we do need to rethink our interpretation of the returns to experience in earnings functions.
JEL-codes: J01 R14 (search for similar items in EconPapers)
Pages: 64 pages
Date: 1998-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://eprints.lse.ac.uk/20294/ Open access version. (application/pdf)
Related works:
Journal Article: Movin' on up: Interpreting the Earnings-Experience Profile (2000)
Working Paper: Movin On Up: Interpreting the Earnings Experience Profile (1998) 
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:ehl:lserod:20294
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().