Modeling the Effect of a Factor Associated with Low Entry Earnings: Family Admissions and Immigrant Earnings Profiles

Harriet Duleep (), Mark C. Regets (), Seth Sanders () and Phanindra V. Wunnava ()
Additional contact information
Harriet Duleep: William & Mary
Mark C. Regets: National Foundation for American Policy
Seth Sanders: Cornell University
Phanindra V. Wunnava: Middlebury College

Chapter Chapter 8 in Human Capital Investment, 2020, pp 81-93 from Springer

Abstract: Abstract Scholars attribute the decline in immigrants’ initial earnings to changes in the source-country composition of U.S. immigrants and to high family-based admissions. We examine how admission under family-based criteria affects earnings dynamics. We construct a measure of the fraction of a group, defined by country of origin and entry year, admitted under occupation-based criteria using INS annual reports on admission criteria and match this to micro data from the 1990 census. Immigrants not admitted under occupation-based criteria are admitted largely under family-based criteria. We find that the higher the fraction admitted under occupation-based criteria, the higher initial earnings but the slower the earnings growth. This pattern holds for both Asian and European immigrants and is stronger for more educated immigrants than for less educated immigrants.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-030-47083-8_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030470838

DOI: 10.1007/978-3-030-47083-8_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().