Teaching

Quantitative Analysis for Policymakers (Advanced)

Professor Eduardo Morales
SPI507C - Fall 2020 - Fall 2021

Statistical analysis with applications to public policy, begins with an introduction to probability theory followed by discussion of statistical methods for estimating the quantitative effects of changes in policy variables. Regression methods appropriate for the analysis of observational data & data from randomized controlled experiments are stressed. By course end, students are able to do their own empirical analysis using statistical software package & interpret regression results from the professional literature. The course assumes fluency in calculus, which is necessary for rigorous mathematical analysis of probability & statistics.

Econometrics: A Mathematical Approach

Professors Michal Kolesár - Mikkel Plagborg-Møller
ECO 312 - Spring 2021

Professor Michal Kolesár
ECO 312 - Fall 2019

This course is an introduction to econometrics. Econometrics is a sub-discipline of statistics that provides methods for inferring economic structure from data. This course has two goals. The first goal is to give you means to evaluate an econometric analysis critically and logically. Second, you should be able to analyze a data set methodically and comprehensively using the tools of econometrics.