•  
  •  
 

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

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Language

en

File Format

application/pdf

Included in

Economics Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.