Survey of problems of social choice and collective action in politics and economics. Representing preferences, indifference, geometric representation of trade-offs. Consideration of Arrow Problem and Olson Problem of Collective Action. Instructor consent required. Prerequisite: Political Science 342 Strategy and Politics or equivalent. Instructor: Munger
Introduction to the application of rational choice analysis (or economic models) to the study of political phenomena. Topics include social choice theory, legislative voting, problems of cooperation and collective action, and public choice theory. Familiarity with algebra and geometric reasoning required. One course. Instructors Niou and Vanberg.
Theory of and empirical support for importance of networks and interdependent behavior in political and social processes. Methodology covered includes tools for empirical analysis of relational data as well as game theoretic and computational/behavioral modeling approaches to analyzing role of network structure. Substantive ties to literatures in political science, economics, and sociology. One course / 3 units.
Learn modes of predicting political events and outcomes. Survey of ways that are used to predict U.S. National Presidential and Congressional elections, as well as polls. During election years, will focus on active campaigns. Second half of course devoted to prediction of conflict outbreaks around the world. Students will develop their own data, models, and forecasts for political processes. Prerequisites: 300 level course in the subfield as well as all general requirements in the major: POLSCI 102, POLSCI 175, and STA 101. One course / 3 units.
Applications of modern decision theory to the study of political science. Topics include: individual decision theory and rational choice; game theory and human interaction; and social choice theory and the mechanisms by which individual choices are aggregated into collective choices. Political institutions such as voting rules, legislatures, parties, and hierarchy, alternative voting methods and political institutions, and how societies solve some practical distributive problems.
Theory and practice of causal inference in political science research and policy impact evaluation. Students master how to test hypotheses and evaluate the substantive impacts of policy treatments using regression, experimental and survey techniques. Also develop skills in software applications such as Stata and R. Assigned texts assist learning of both the quantitative methods and how they are applied in practice and assignments emphasize practical applications. Prerequisites: SSTA101 or higher; first semester of calculus (MATH21, MATH111L or MATH121). One course.