Presents a "user's guide" to conducting empirical research and program evaluation in applied microeconomics. Begins with a primer on an industry-standard econometric software package and a review of linear regression as a statistical technique for summarizing conditional mean relationships in data. Discusses multiple advanced econometric techniques as alternative research strategies including matching methods, difference-in-differences, panel data methods, IV, and regression discontinuity. Concludes with a research project requiring a replication and extension of an existing published paper that uses one or more of these statistical techniques.
instructor(s)
Cadena, Brian C
Primary Instructor
- Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Fall 2022 / Fall 2023 / Fall 2024
