Trends in hours and economic growth
L. Rachel Ngai and
Christopher Pissarides
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We study substitutions between home and market production over long periods of time. We use the results to get predictions about long-run trends in aggregate market hours of work and about employment shifts across economic sectors, driven by uneven TFP growth in market and home production. The model can rationalize the observed falling or U-shaped pattern for aggregate market hours, the complete marketization of home production in agriculture and manufacturing, and the employment shift from agriculture and manufacturing to services. We find support for the model’s predictions in long-run US data.
JEL-codes: J21 J22 O14 O41 (search for similar items in EconPapers)
Date: 2008-04
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (130)
Published in Review of Economic Dynamics, April, 2008, 11(2), pp. 239-256. ISSN: 1094-2025
Downloads: (external link)
http://eprints.lse.ac.uk/3828/ Open access version. (application/pdf)
Related works:
Journal Article: Trends in Hours and Economic Growth (2008) 
Working Paper: Trends in Hours and Economic Growth (2007) 
Working Paper: Trends in Hours and Economic Growth (2006) 
Working Paper: Trends in hours and economic growth (2006) 
Working Paper: Trends in Hours and Economic Growth (2006)
Working Paper: Trends in Hours and Economic Growth (2005) 
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:3828
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 ().