
This episode discusses the new immigration reform policy simulator developed by the Penn Wharton Budget Model. Key topics include the effects of increasing legal immigration, changing the composition of immigrants, and the impacts of deportation and legalization of unauthorized immigrants.
Professor Kent Smithers explains how the simulator allows users to explore 125 different policy combinations related to immigration. He highlights the current net legal immigration rate of 800,000 people per year and the potential effects of increasing this number by 25 percent.
Smithers also discusses the implications of changing the educational composition of immigrants, noting that increasing the percentage of college-educated immigrants from 35 percent to 55 percent has a limited impact on GDP.
Furthermore, he examines the effects of legalizing unauthorized immigrants, revealing that it may lead to a slight decrease in jobs due to changes in labor force participation. Conversely, he explains that deporting unauthorized immigrants could significantly reduce jobs and GDP.
Listeners are encouraged to use the simulator to experiment with different policy scenarios and draw their own conclusions.
The episode covers a new immigration simulator analyzing policy impacts on jobs and GDP.

Legalization actually leads to fewer jobs.Immigration Reform Policy Simulator Overview
Neither policy works in the way that it’s often presented.Immigration Reform Policy Simulator Overview