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Course Criteria
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5.00 Credits
Lecture, three hours; computer laboratory, one hour. Requisite: course 141B. Models of term structure of interest rates, interest rate derivatives, optimal consumption and investment. Equity premium puzzle, bubbles. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Requisite: course 101. Combination of basic probability introduced in Statistics 11 with microeconomic models presented in courses 11 and 101 in order to explain phenomena such as insurance, job search, and stock market behavior. Optimal production and consumption under uncertainty. Review of probability and introduction to alternative measures of risk and risk aversion. P/NP or letter grading.
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4.00 Credits
Lecture, three hours; discussion, one hour; laboratory, one hour. Requisite: course 103. Not open to students with credit for course 147A or 147B. Estimation and inference in multiple regression model; violations of assumptions of classical model (heteroskedasticity, unobserved heterogeneity, measurement error); introduction to limited dependent variable and time-series models. Emphasis on applications of regression analysis and interpretation. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Requisite: course 101. Introduction to use of mathematics in economic analysis. Topics include partial differentiation, optimization, integration, and differential and difference equations, with applications to theory of the household and the firm, capital theory, and economic dynamics.
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4.00 Credits
Lecture, three hours. Requisite: course 101. Possible topics include game theory; competitive equilibrium analysis; examination of market failure and role for market intervention. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Preparation: one linear or matrix algebra course. Not open for credit to students with credit for Mathematics 164 or Electrical Engineering 136. Possible topics include duality theory of linear programming and simplex algorithm, input/output analysis, and two-person zero-sum games.
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4.00 Credits
Lecture, three hours; discussion, one hour; laboratory, one hour. Requisites: course 103, Mathematics 115A. Introduction to econometric theory using linear algebra; estimation and inference in classical regression, generalized classical regression model; introduction to time series and simultaneous equations models. Emphasis on theoretical analysis and computer programming skills. P/NP or letter grading.
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4.00 Credits
Lecture, three hours. Requisite: course 147A. Econometric models and data; forecasting, policy analysis, estimation of simultaneous equations models, applications of econometrics. Major original econometric paper required.
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4.00 Credits
Lecture, three hours. Requisites: Mathematics 33A, 33B. Introduction to modeling and analysis of dynamic systems, with emphasis on examples from social and life sciences. Linearity, impulse responses, stability, state variables, algorithms for filtering and control.
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4.00 Credits
Lecture, three hours. Requisites: courses 101, 103, and Mathematics 33A or 115A. Topics include review of rationality in economics, deviations from rationality, explanations of market puzzles, complexity of economic decisions and limits to rationality, economic agents as automata, genetic programming in economics, neuroeconomics, and bargaining, and limits to rationality. P/NP or letter grading.
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