Quantitative Social Science Methods I
GOV 2001
Subject & Catalog Number
Course Information
Description
This course provides a rigorous foundation necessary for the rest of the sequence. After reviewing the basic probability theory, we offer a systematic introduction to the linear model and its variants -- the workhorse models for social scientists. We cover the classic linear regression model, least squares estimation and projection, fixed and random effects models, principal components analysis, instrumental variables, flexible regression models, and regularization for high dimensional data. In covering these topics, we deepen our knowledge of fundamental concepts in statistical inference while also demonstrating how these methods are applied in political science.
Course Notes
Prerequisite: Gov 51 or the equivalent. Gov 2020 is highly recommended before taking Gov2001.
Class Notes
Instructor: Guilherme Duarte
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
