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SSRN Electronic Journal
Article . 2017 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2017
Data sources: EconStor
EconStor
Research . 2017
Data sources: EconStor
EconStor
Research . 2018
Data sources: EconStor
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Understanding the Effects of Legalizing Undocumented Immigrants

Authors: Monrà s, Joan; Vázquez-Grenno, Javier; Elias, Ferran;

Understanding the Effects of Legalizing Undocumented Immigrants

Abstract

This paper investigates the consequences of the legalization of around 600,000 immigrants by the unexpectedly elected Spanish government of Zapatero following the terrorist attacks of March 2004 (Garcia-Montalvo (2011)). Using detailed data from payroll-tax revenues, we estimate that each newly legalized immigrant increased social-security revenues by 3,504 Euros on average. This estimate is only 49 percent of what we would have expected from the size of the newly documented immigrants, which suggests that newly legalized immigrants probably earned lower wages than, and maybe affected the labor-market outcomes of, other workers. We estimate that the policy change deteriorated the labor-market outcomes of some low-skilled natives and immigrants and improved the outcomes of high-skilled natives and immigrants. This led some low-skilled immigrants to move away from high-immigrant locations. Correcting for migration and selection, we obtain that each newly legalized immigrant increased payroll-tax revenues by 4,398 Euros or 26 percent more than the raw payroll-tax revenue data estimates. This shows the importance of looking both at public revenue data and the labor market to understand the consequences of amnesty programs fully.

Country
United States
Keywords

Economics, undocumented immigrants, Immigration, Social and Behavioral Sciences, amnesty programs, international migration, unauthorized immigrants immigration law, J31, J32, ddc:330, public policy evaluation, R1, R11, INTERNATIONAL ISSUES, J6, Spain, J2, Labor Economics, J61, F22, immigration

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
bronze