Sticky Wage Models and Labor Supply Constraints
Zhen Huo and
José-Víctor Ríos-Rull
American Economic Journal: Macroeconomics, 2020, vol. 12, issue 3, 284-318
Abstract:
In sticky wages models (either à la Calvo or à la Rotemberg), labor is solely determined by the demand side. However, a change of circumstances may make labor demand higher than agents' willingness to work. We find that workers are required to work against their will between 15 percent and 30 percent of the time (with 5 percent wage markup, less with higher markups and in Rotemberg models). Estimating models with the minimum of the demand and supply of labor instead of the demand-determined quantity yields different and unappealing properties. Hence, special attention should be paid to possible violations of the labor supply constraint.
JEL-codes: E12 E24 E32 J22 J23 J31 J51 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/mac.20180290 (application/pdf)
https://www.aeaweb.org/doi/10.1257/mac.20180290.data (application/zip)
https://www.aeaweb.org/doi/10.1257/mac.20180290.appx (application/pdf)
https://www.aeaweb.org/doi/10.1257/mac.20180290.ds (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.
Related works:
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:aea:aejmac:v:12:y:2020:i:3:p:284-318
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
DOI: 10.1257/mac.20180290
Access Statistics for this article
American Economic Journal: Macroeconomics is currently edited by Simon Gilchrist
More articles in American Economic Journal: Macroeconomics from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().