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Course Criteria
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0.00 - 1.00 Credits
This course provides students with skills needed to integrate economic theory, econometric methods, and data management in the analysis of economic problems. Provides a hands-on perspective including assignments designed to derive testable propositions from simple economic models, illustrate the loading, cleaning and merging of complex survey data, and provide experience in the selection and interpretation of basic econometric methods.
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1.00 Credits
The probabilistic and statistical basis of inference in econometrics.
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1.00 Credits
Applications of mathematical statistics in economics. The nature of economic observations, cross-section and time series analysis, the analysis of variance and regression analysis, problems of estimation.
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1.00 Credits
Decision theory: consumer's and producer's theory; general competitive equilibrium and welfare economics: the Arrow-Debreu-McKenzie model; social choice.
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1.00 Credits
Economics of imperfect information: expected utility, risk and risk aversion, optimization under uncertainty, moral hazard, and self-selection problems. Economics of imperfect competition: monopoly; price discrimination; monopolistic competition; market structure in single shot, repeated and stage games; and vertical differentiation.
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0.00 - 1.00 Credits
Consumption and saving, under both certainty and uncertainty; theory of economic growth; real business cycles; investment; and asset pricing.
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1.00 Credits
Money, inflation, economic fluctuations and nominal rigidities, monetary and fiscal policy, investment, unemployment, and search and coordination failure.
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1.00 Credits
Decision theory is the use of axiomatic techniques to understand the observable implications of models of choice. It is central to the incorporation of psychological insights into economics, and provides a vital link between theory and experimental economics. This course covers standard economic models of choice in different domains - choice under risk, choice under uncertainty and intertemporal choice. It looks at key topics from behavioral economics: choice with incomplete information, reference dependent preferences, temptation and self control, the Allais paradox, ambiguity aversion and neuroeconomics. In each case it relates the predictions of theory to experimental data on behavior.
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1.00 Credits
Business cycle analysis with an emphasis on heterogeneous-agent economics and the interaction between business cycles and economic growth.
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1.00 Credits
Advanced topics in the theories of risk, uncertainty and information, including the following: Decision making under uncertainty: expected and non-expected utility, measures of risk aversion, stochastic dominance. Models with a small number of agents: optimal risk- sharing, the principal-agent paradigm, contracts. Models with a large number of agents: asymmetric information in centralized and decentralized markets. Implementation theory.
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