This paper investigates the effect of migration on Low-Wage workers. Using Machine Learning to identify low-wage employees, this research focuses on the impact of migration on employees with a high predicted probability of being low-wage employees (even if they are not working). This allows for the exploration of the full behavioral impacts on individuals who are arguably more exposed to migration shock.
