The Indirect Fiscal Benefits of Low-Skilled Immigration
Mark Colas and
Dominik Sachs
American Economic Journal: Economic Policy, 2024, vol. 16, issue 2, 515-50
Abstract:
Low-skilled immigrants indirectly affect public finances through their effect on resident wages and labor supply. We operationalize this indirect fiscal effect in a model of immigration and the labor market. We derive closed-form expressions for this effect in terms of estimable statistics. An empirical quantification for the United States reveals an indirect fiscal benefit for one average low-skilled immigrant of roughly $750 annually. The indirect fiscal benefit may outweigh the negative direct fiscal effect that has previously been documented. This challenges the perception of low-skilled immigration as a fiscal burden.
JEL-codes: H24 H75 J15 J24 J61 J82 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/pol.20220176 (application/pdf)
https://doi.org/10.3886/E179781V1 (text/html)
https://www.aeaweb.org/doi/10.1257/pol.20220176.appx (application/pdf)
https://www.aeaweb.org/doi/10.1257/pol.20220176.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:aejpol:v:16:y:2024:i:2:p:515-50
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
DOI: 10.1257/pol.20220176
Access Statistics for this article
American Economic Journal: Economic Policy is currently edited by Matthew Shapiro
More articles in American Economic Journal: Economic Policy from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().