EconStor >
Rutgers University >
Department of Economics, Rutgers University >
Working Papers, Department of Economics, Rutgers University >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/31284
  
Title:Immigration amnesty and immigrant's earnings PDF Logo
Authors:Gang, Ira N.
Yun, Myeong-Su
Issue Date:2006
Series/Report no.:Working papers // Department of Economics, Rutgers, the State University of New Jersey 2006,32
Abstract:We review the role immigration amnesties have played in US immigration policy, placing them in the context of similar programs embarked upon by other nations. The theory of amnesties suggests rent-seeking, bargaining, and costs as reasons for a country offering an amnesty, often in conjunction with increased border controls, internal enforcement and employer penalties. We model an immigration amnesty in which the destination country has a formal sector employing only legal immigrants, an informal sector employing both legal and illegal immigrants, and open unemployment. The model focuses on the productivity enhancing effects of legalization, and establishes specific conditions under which unemployment, the informal sector and the formal sectors increase/decrease in size. Building on these insights, our empirical work examines Mexican migration to the US. We study who are migrants; among migrants, who are legalized via IRCA, and who are legalized via sponsorship of family or employer. Furthermore, to measure the impact of amnesty on welfare of migrants, we estimate earnings equations of various migrants groups.
Subjects:Amnesty
illegal migration
border controls
IRCA
JEL:J61
J68
H59
F22
Document Type:Working Paper
Appears in Collections:Working Papers, Department of Economics, Rutgers University

Files in This Item:
File Description SizeFormat
566326817.pdf296.23 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/31284

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.