17.800 Quantitative Research Methods I: Regression  
Graduate level introduction to statistical methods for political science and public policy research, with a focus on linear regression. Teaches students how to apply multiple regression models as used in much of political science and public policy research. Also covers fundamentals of probability and sampling theory. Syllabus


17.802 Quantitative Research Methods II: Causal Inference  
Survey of advanced empirical tools for political science and public policy research with a focus on statistical methods for causal inference, i.e. methods designed to address research questions that concern the impact of some potential cause (e.g., an intervention, a change in institutions, economic conditions, or policies) on some outcome (e.g., vote choice, income, election results, levels of violence). Covers a variety of causal inference designs, including experiments, matching, regression, panel methods, differenceindifferences, synthetic control methods, instrumental variable estimation, regression discontinuity designs, quantile regressions, and bounds.


17.8XX Math Prefresher  


17.S952 Empirical Methods in Political Economy  
This course surveys recent empirical work in political economy. The focus will be on a variety of active topic areas including the relationship between electoral institutions and political representation, the effect of political institutions on policy outcomes, and distributive politics. Studies are drawn from various geographic areas including the US, Latin America, India, and Europe. Special attention will be paid to innovative approaches to research design and measurement. Each week there will be two articles assigned as required readings and in the class discussion we will dissect the empirical strategy of these studies, discuss their theoretical significance and overall strength and weaknesses, and examine future directions for research in this topic area. Syllabus 
