- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
This course covers analytic methods for analyzing optimal control theory problems; analytic and numerical methods for solving dynamic programming problems; numerical methods for solving stochastic dynamic programming problems; structural econometric models of static games of incomplete information; structural econometric models of single-agent dynamic optimization problems; and structural econometric models of multi-agent dynamic games. The course also covers economic applications of these methods that are relevant to the environment, energy, natural resources, agriculture, development, management, and finance. These applications include firm investment, nonrenewable resource extraction, optimal economic growth, fisheries, subsistence agriculture, investment under uncertainty, optimal stopping, (S,s) policies, q-theory, petroleum production, water management, environmental policy, engine replacement, land use, rural labor supply, incentive schemes, health, and education. The methods covered in the course enable one to analyze the strategic and dynamic decision-making behavior of individuals, households, organizations, firms, and countries; to analyze how different institutions and policies (and changes in these institutions and policies) affect this behavior and its outcome; and to design institutions and policies so that the decision-making behavior and outcome that are realized increase net benefits to society.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: graduate-level microeconomics and econometrics.
Course Attribute (CU-SBY)
Regular Academic Session.
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
- TRWarren Hall B51
Lin Lawell, C
Prerequisite: Graduate-level microeconomics and econometrics.
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