The mathematics of Mexico–US migration and US immigration policy

Guadalupe Correa-Cabrera and Miriam Rojas-Arenaza

Policy Studies, 2012, vol. 33, issue 4, 297-312

Abstract: This article analyses some of the ‘numbers’ behind the migration phenomenon and immigration policy design in the USA. The principal aim of this study is to assess the use of quantitative data and analyses, migration statistics and the mass media to support the passage (or justify the failure) of recent key initiatives that affect undocumented or illegal immigration in the USA, in particular immigration originating in Mexico. The study concludes that the misuse of numbers, the production of media spectacles that present illegal immigrants as quite harmful for the US economy and society, and the politicisation of the immigration process in general, have had a major impact on recent failed attempts to reform the dysfunctional US immigration system. These factors also influenced the passage of Arizona's SB 1070 in 2010, as well as the recent passage of other anti-immigrant legislation in more US states. Overall, the ‘mathematics’ of Mexico–US migration is not always reliable. Some questionable numbers have been recently used to justify inappropriate and ineffective migration policies.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/01442872.2012.694187 (text/html)
Access to full text is restricted to 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:taf:cposxx:v:33:y:2012:i:4:p:297-312

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cpos20

DOI: 10.1080/01442872.2012.694187

Access Statistics for this article

Policy Studies is currently edited by Toby James

More articles in Policy Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().