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Course Criteria
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3.00 Credits
Part of a sequence with ECON 5020. It is advanced microeconomic analysis covering general equilibrium and welfare economics, and advanced topics in consumption and production theory. Prerequisites: ECON 5010, 5020.
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3.00 Credits
Covers methods for obtaining the optimal choice for economic variables that change over time, including calculus of variations and optimal control. These methods are applied to various dynamic economic problems, including optimal resource extraction, optimal capital allocation, and optimal growth. Prerequisites: ECON 5020, 5370.
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3.00 Credits
Covers simple and multiple regression models, problems of estimation, hypothesis and diagnostic testing, dummy variable, autoregressive and distributed lag models, and time-series analysis. The objective is to understand the underlying theory of econometric modeling and obtain operational ability to construct, estimate, and test econometric models. Dual listed with ECON 4230; cross listed with AGEC 5230. Prerequisite: admission to the Master's Program in Economics.
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3.00 Credits
Discusses a variety of important concepts in the application of game theory to modern microeconomics, including Nash equilibrium, subgame perfect equilibrium, and Bayesian Nash equilibrium. Time permitting, the class will also explore some relatively new uses of game theory, including evolutionary games and differential games. Prerequisites: admission to the graduate program in Economics and Finance.
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3.00 Credits
A variety of topics of importance to the advanced student who is preparing to write his or her dissertation are discussed. Prerequisite: admission to the graduate program in Economics and Finance.
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3.00 Credits
Study of the principal mathematic techniques used in economic theory and modeling. Taught jointly with ECON 5020. Prerequisite: graduate standing.
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3.00 Credits
Presents a thorough coverage of the general and normal linear regression models. Then proceeds to deal with the standard methodologies for estimating variations of this model including autocorrelation and hetero-skedasticity, extreme multicolinearity, disturbance-related sets of regression equations, simultaneous equation bias, and simultaneous equation models. Prerequisites: ECON 3010 and 3020 and STAT 2010.
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3.00 Credits
Review topics in probability theory and mathematical statistics. The course will also provide an introduction to the classical linear regression model, estimation, hypothesis testing, and prediction. Prerequisites: Calculus and Basic Statistics.
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3.00 Credits
Continue the analysis in ECON 5350 and cover topics such as panel data, limited-dependent variables, simultaneous systems, nonlinear models, Bayesian analysis, and time series methods. Prerequisites: ECON 5350.
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1.00 - 3.00 Credits
More in-depth coverage of topics in ECON 5350 and 5360. Topics will be selected based on current advancements in econometrics and students' research interests. Topics may include generalized method of moments (GMM), nonparametric estimation, state-space models and the Kalman filter, mixed and nested logit models, multinomial discrete-choice models, and simulated maximum likelihood.Prerequisite: ECON 5360.
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