ECON 6773 delves into public goods and externalities in the context of global environmental problems. The course focuses on recent empirical analysis of the costs and benefits of environmental and energy policies. Topics include environmental regulation, carbon taxes, energy subsidies, oil and economic development, fiscal spending and environment, and environmental policy.
ECON 512 is the second in a sequence of two advanced microeconomic theory courses offered in the graduate economics curriculum. The course covers in-depth modern production and cost theory, market structure analysis, general equilibrium analysis, the presence of externalities and public goods. The course builds on knowledge of mathematical methods used in microeconomic theory such as optimization, constrained optimization, and comparative statics.
ECON 4970 focuses on building mathematical tools needed to rigorously explore questions about economic decision-making under different constraints. The course presents tools to solve market and national-income models, perform comparative-static analysis, and explore additional economic applications (such as price discrimination, input decisions of a firm, and the problem of a multiproduct firm).
HON 3993 examines the economic causes, consequences, and policy responses to natural disasters, with a focus on how economic principles can help us understand and manage disaster risk. Particular attention is given to the distributional consequences of disasters, including poverty and inequality, as well as the roles of government policy, foreign aid, and recovery efforts.
ECON 3213 focuses on the economic approach to preserving natural resources and the environment, with a special emphasis on problems of market failure. These include externalities, public goods, non-market goods and policies to correct for imperfect markets. The course also focuses on applying the theoretical and empirical tools in analyzing major environmental problems such as air and water pollution, recycling and climate change.
Designed for students in the social science and business related fields of study. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences and business. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing.