EEP C1 (Environmental Economics and Policy): Introduction to Environmental Economics and Policy
Course Description: Introduction to microeconomics with emphasis on resource, agricultural, and environmental issues. This course covers the core microeconomics material a standard introduction to economics course would cover in the first half. The second half, instead of teaching macroeconomic theory, the course introduces the core theory taught in environmental and natural resource economics, including externalities, public goods, renewable and non renewable resource extraction, international environmental problems.
ARE/IAS 175: Economics of Climate Change
Course Description: This course (co-taught with the legendary Tony Fisher) is an upper level course covering how economists model the market failures underlying the excess emissions of greenhouse gases, as well as the market failures underlying the challenges to addressing them. Topics covered include the theory of externalities, public goods, strategic behavior, damage estimation
ARE 212: Multiple Equation Estimation
Course Description: Ph.D. level introduction to the estimation and testing of economic models. Includes analysis of the general linear model, asymptotic theory, instrumental variable, and the generalized method of moments. In addition, a survey of time series, analysis, limited dependent variables.
CSOL 207: Economic Insights for Climate Solutions
Course Description: This course uses economic reasoning to understand market failures that cause climate change, evaluate policy instruments for addressing these failures, and design market-based approaches that can accelerate the transition to a low-carbon economy. The course emphasizes practical applications, using some simulations that model decision-making under different policy scenarios, complemented by real-world case studies and policy analysis. Students will learn to quantify climate benefits and costs, assess distributional impacts, and design economic incentives that promote effective and equitable climate solutions.
IAS 106: Intermediate Microeconomic Theory
Course Description: This course is designed as a comprehensive overview of intermediate microeconomic theory. It covers a number of topics including consumer and demand theory, firm, production and cost theory, competitive market theory, imperfect competition, welfare economics, choice under uncertainty and information. All analysis conducted in the course relies on graphical and algebraic techniques. Outside readings and discussion sections will demonstrate the applicability of the models covered in class to topics with an international dimension, such as the setting of tariffs, cartel behavior, and international trade.
IAS 107: Intermediate Macroeconomic Theory
Course Description: This course is designed as a comprehensive overview of intermediate macroeconomic theory focusing on economic growth and international economics. It covers a number of topics including history of economic growth, industrial revolution, post-industrial revolution divergence, flexible-price and sticky-price macroeconomics, and macroeconomic policy. Course is structured for majors in International and Area Studies and other non-economic social science majors.
MACSS 201: Applied Statistics 1
Course Description: This is the first core statistics course in the Masters of Computational Social Science program with a focus on causal inference. It covers sampling, testing, the linear model, panel data methods, difference in differences designs, matching, sythetic controls, logistic regression. The focus of the course is lighter on theory and heavy on application.
ECON 100A: Intermediate Microeconomic Theory
Course Description: This course is designed as a comprehensive overview of intermediate microeconomic theory with calculus. It covers a number of topics including consumer and demand theory, firm, production and cost theory, competitive market theory, imperfect competition, welfare economics, choice under uncertainty and information. All analysis conducted in the course relies on graphical, and algebraic techniques but leans pretty heavily on calculus.
EWMBA 200S (Haas School of Business): Data & Decisions
Course Description: This course is designed for anyone interested in understanding how decisions are made using data, including those with no prior analytics experience. The objective is to make students more intelligent consumers and producers of statistical information and analyses. The emphasis of the course will be on illustrating how finding and/or generating the right data by applying appropriate statistical methods can help solve problems in business.
EWMBA 201A (Haas School of Business): Economics for Business Decision Making
Course Description: This course uses the tools and concepts of microeconomics to analyze decision problems within a business firm. Particular emphasis is placed on the firm's choice of policies in determining prices, inputs usage, and outputs. The effects of the state of the competitive environment on business policies are also examined.
DS421: Interdisciplinary Research Design and Methods
Course Description: Introduction to experimental design, analysis, and inference in natural and social sciences, and application to interdisciplinary research. Close study of exemplary publications integrating natural and social science methodologies will be combined with assignments to conduct similar analyses using faculty-provided or publicly available data sets, putting into practice reproducible and collaborative data science skills. Case studies used to integrate analytic methods and conceptual analyses. Focus on identifying major open questions and research needs in the field. This is a core course for the second year of the NSF Training program DS421.