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1 - 6 of 6 results for: POLISCI 450B

ECON 220: Political Economy I (POLISCI 460A)

Introduction to empirical and theoretical research in political economy. This course focuses on issues in democracies, while Political Economy II focuses on issues in non-democracies. Topics may include institutional foundations, social choice, electoral competition and candidate positioning, accountability, voter behavior, polarization, media and political communication, redistribution, special interests and lobbying, collective action, immigration, and populism. Prerequisite for Econ PhD students: ECON 202 and 270 or permission of instructors. Prerequisites for Political Science PhD students: POLISCI 450A, POLISCI 450B, and POLISCI 356A.
Terms: Aut | Units: 3-5

POLISCI 450B: Political Methodology II: Causal Inference

Survey of statistical methods for causal inference in political science research. Covers a variety of causal inference designs, including experiments, matching, regression, panel methods, difference-in-differences, synthetic control methods, instrumental variables, regression discontinuity designs, quantile regression, and bounds. Prerequisite: POLISCI 450A completed for a letter grade of "B" or higher.
Terms: Win | Units: 3-5

POLISCI 450C: Political Methodology III: Model-Based Inference

Provides a survey of statistical tools for model-based inference in political science with a particular focus on machine-learning techniques. Topics include likelihood theory of inference and techniques for prediction, discovery, and causal inference. Prerequisites: POLISCI 450A and POLISCI 450B completed for a letter grade of "B" or higher.
Terms: Spr | Units: 3-5

POLISCI 450D: Political Methodology IV: Advanced Topics

Covers advanced statistical tools that are useful for empirical research in political science. Possible topics include missing data, survey sampling and experimental designs for field research, machine learning, text mining, clustering, Bayesian methods, spatial statistics, and web scraping. Prerequisites: POLISCI 450A, POLISCI 450B and POLISCI 450C completed for a letter grade of "B" or higher.
Terms: Aut | Units: 3-5

POLISCI 452: Machine Learning with Application to Text as Data

Machine Learning methods are increasingly useful for the social sciences. This course introduces a framework for using machine learning methods to make social science inferences, with a particular focus on text as data. The course will explain how machine learning methods can be used to facilitate discovery, measure quantities of interest, and to make causal inferences and predictions. We will introduce a variety of methods for representing texts as quantitative data and then we will introduce a wide array of commonly used methods. Prerequisites are POLISCI 450A, 450B, and 450C.
Last offered: Spring 2019

POLISCI 460A: Political Economy I (ECON 220)

Introduction to empirical and theoretical research in political economy. This course focuses on issues in democracies, while Political Economy II focuses on issues in non-democracies. Topics may include institutional foundations, social choice, electoral competition and candidate positioning, accountability, voter behavior, polarization, media and political communication, redistribution, special interests and lobbying, collective action, immigration, and populism. Prerequisite for Econ PhD students: ECON 202 and 270 or permission of instructors. Prerequisites for Political Science PhD students: POLISCI 450A, POLISCI 450B, and POLISCI 356A.
Terms: Aut | Units: 3-5
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