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.
Major Themes in Economics
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"The Effects of Relative Wages and Border Enforcement on Illegal Immigration,"
Major Themes in Economics, 21, 51-69.
Available at: https://scholarworks.uni.edu/mtie/vol21/iss1/6