Immigration and Work Schedules: Theory and Evidence

Timothy Bond, Osea Giuntella and Jakub Lonsky

No 30742, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We develop a theoretical framework to analyze the effects of immigration on native job amenities, focusing on work schedules. Immigrants have a comparative advantage in production at, and lower disamenity cost for nighttime work, which leads them to disproportionately choose nighttime employment. Because day and night tasks are imperfect substitutes, the relative price of day tasks increases as their supply becomes relatively more scarce. We provide empirical support for our theory. Native workers in local labor markets that experienced higher rates of immigration are more likely to work day shifts and receive a lower compensating differential for nighttime work.

JEL-codes: F60 J31 J6 (search for similar items in EconPapers)
Date: 2022-12
New Economics Papers: this item is included in nep-int, nep-lab and nep-ure
Note: EH LS
References: Add references at CitEc
Citations:

Published as Timothy N. Bond & Osea Giuntella & Jakub Lonsky, 2022. "Immigration and work schedules: Theory and evidence," European Economic Review, .

Downloads: (external link)
http://www.nber.org/papers/w30742.pdf (application/pdf)

Related works:
Journal Article: Immigration and work schedules: Theory and evidence (2023)
Working Paper: Immigration and Work Schedules: Theory and Evidence (2020)
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:nbr:nberwo:30742

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w30742

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().