This course focuses on using state-of-the-art econometric techniques, often identified by natural experiments, to 1) quantify causal effects predicted by economic models of the labor market and 2) evaluate the causal impact of labor market policies. Topics include the economics of immigration, the minimum wage, the economics of discrimination, and information constraints and bounded rationality in human capital investment. As a final project, students gather data and perform initial statistical analysis to determine whether a proposed data analysis strategy will successfully lead to a credible answer to a novel causal question in labor economics.
instructor(s)
Cadena, Brian C
Primary Instructor
- Fall 2020 / Spring 2023
