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Course Criteria
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3.00 Credits
This course will focus on game theory as employed in empirical analyses of politics and institutions. It will cover some fundamental concepts of game theory: basic elements of games; several equilibrium concepts and different types of game. Selected applications include: explanations of political party competition, legislative decision making, the maintenance of democracy and constitutionalism, interethnic cooperation and conflict, differences in social norms, transitions from socialist to market economies, the political economy of reforms and the economics of sovereign debt.
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3.00 Credits
Mathematical presentation of neoclassical models of consumer behavior, behavior of the firm, and analysis of markets under perfect and imperfect competition. Analysis of market failures, choice under uncertainty, and the economics of information.
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4.50 Credits
General equilibrium analysis, welfare economics, and game theory. Issues in applied microeconomics. Discussion of alternative approaches to microeconomics.
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3.00 Credits
An overview of alternative static macro models (such as Keynesian, monetarist, new classical, new Keynesian, and post-Keynesian models); microeconomic foundations of macroeconomics; an introduction to business cycles, growth, and open economy issues.
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4.50 Credits
Analysis of recent contributions and controversies in macroeconomic theory emphasizing alternative approaches such as new classical, new Keynesian, and post-Keynesian approaches. Macroeconomic dynamics involving the analysis of growth distribution and cycles.
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3.00 Credits
Properties of estimators, methods of estimation, general linear regression model, maximum likelihood estimation, nonlinear regression models, Karnaugh maps, hypotheses testing with likelihood ratio, Wald, Rao tests, ANOVA, and spline regression methods.
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4.50 Credits
This course covers identification of linear simultaneous equation estimation. Advanced estimation methods will be the main focus of this course such as panel data regression, maximum likelihood estimation for tobit, logit and probit estimations, generalized method of moment estimation (GMM), least absolute deviation (LAD) estimation, quantile regression method, nonstationary time series, cointegration, UAR and Kalman filtering for the time-varying parameter estimation.
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3.00 Credits
This is a course for graduate students in Government, Sociology, Theology, Philosophy, Peace Studies, and History. It is an intensive study of micro- and macro-economic theory with applications to public finance, international trade, theories of justice, economic history, and other areas as required by the interests of students.
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1.00 Credits
This is a laboratory course designed to introduce first-year graduate students to the basic computational and statistical techniques used in social science quantitative research. The main goal of the course is to show students how to build and access a data set for analysis. As such, it is complementary to the core statistical and econometrics course offered in the social sciences. Students will be exposed to the different operating systems available at Notre Dame, and to a variety of statistical software applications. Topics treated include reading data in different formats and checking it for errors, carrying out exploratory analyses, recoding and creation of new variables, merging data sets, performing extracts, and moving a data set between different operating environments.
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3.00 Credits
This course will provide an overview of the grant writing process in the social sciences focusing on the deadlines and regulations of the funding institutions.
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