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Document Type

Article

Abstract

The flow of illegal immigrants into the United States cannot be accurately measured because any successful illegal immigrations will not be detected. This paper uses an apprehensions function developed by Hanson and Spilimbergo (1999) to estimate a lower bound for illegal immigration. An OLS regression model is employed to examine the effect of relative wages and border enforcement on the number of apprehensions at the U.S.-Mexico border from 1999-2017. These results are compared with findings from Hanson and Spilimbergo (1999) who studied apprehensions from 1976-1995.

Publication Date

Spring 2019

Journal Title

Major Themes in Economics

Volume

21

Issue

1

First Page

51

Last Page

69

Copyright

©2019 by Major Themes in Economics

Language

en

File Format

application/pdf

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