• ECON 4370

    Behavioral Finance
     Rating

    3.56

     Difficulty

    2.62

     GPA

    3.26

    Last Taught

    Spring 2026

    Behavioral finance questions the efficient market hypothesis. In addition, this course explores noise trader models and the 'over and under reaction' debate. Readings are mostly from professional journals. Students should be quite serious about finance. Prerequisite: Econ 3010 or 3110 and ECON 4340

  • ECON 4400

    Topics in Economic History
     Rating

    3.42

     Difficulty

    3.36

     GPA

    3.27

    Last Taught

    Fall 2025

    Comparative study of the historical development of selected advanced economies (e.g., the United States, England, Japan, continental Europe). The nations covered vary with instructor. Prerequisite: ECON 3020, or ECON 2010 and 2020 and instructor permission.

  • ECON 4420

    Macroeconomic Policy
     Rating

    4.67

     Difficulty

    4.33

     GPA

    3.61

    Last Taught

    Spring 2026

    This course takes a microeconomic approach to macroeconomic policies, with special emphasis on monetary and fiscal policies and their impacts on inflation and economic activity. Focus is on the connections among theory, institutional design, and actual data, including historical episodes. Prerequisites: ECON 3010 or ECON 3110 and ECON 3020.

  • ECON 4430

    Environmental Economics
     Rating

    3.82

     Difficulty

    2.48

     GPA

    3.50

    Last Taught

    Spring 2026

    Explores the origins of environmental problems, how to measure the value of environmental amenities, and the efficacy of specific forms of regulation, including mandated technologies, taxes, subsidies, and pollution permit trading. Topics include air and water pollution, climate change, the transition from fossil fuels to renewable energy sources, and sustainable development. Prerequisite: ECON 3010 or 3110.

  • ECON 4444

    Artificial Intelligence and the Future of Work
     Rating

    1.00

     Difficulty

    4.00

     GPA

    3.49

    Last Taught

    Spring 2026

    Advances in AI & automation have proceeded rapidly in recent years & have reached an inflection point that will have profound implications for the future of humanity. This course analyzes the short- and medium-run implications for employment, economic growth, & inequality. It also covers philosophical questions such as the long-run implications of AI rivaling human intelligence. Requisite: [Either ECON 3010 (or 3310) & ECON 3020] OR CS 3102.

  • ECON 4559

    New Course in Economics
     Rating

    4.83

     Difficulty

    2.50

     GPA

    3.57

    Last Taught

    Spring 2025

    New course in the subject of economics.

  • ECON 4610

    Economic Development
     Rating

    3.33

     Difficulty

    3.33

     GPA

    3.51

    Last Taught

    Fall 2025

    Studies the peculiar problems of economics in underdeveloped countries, including government and market failures. Examines factors underlying poverty, hunger, illiteracy, and corruption in developing countries, and the scope for (rigorously evaluated) policies to improve these conditions. Prerequisite: ECON 2010 and ECON 3720 (or 4720 or STAT 3220 or equivalent). ECON 2020 and ECON 3010/3110 are helpful but not required.

  • ECON 4720

    Econometric Methods
     Rating

    2.29

     Difficulty

    4.13

     GPA

    3.26

    Last Taught

    Spring 2026

    Studies the application of statistical methods to the testing and estimation of economic relationships. Emphasizes applied econometric studies and the problems that arise when analyzing time series and cross section data by means of stochastic linear models. Prerequisite: ECON 3720 or STAT 3120 or STAT 3220 or APMA 3110 or APMA 3120; and MATH 3350 or MATH 3351 or APMA 3080.

  • ECON 4740

    Introduction to Algorithmic Economics
     Rating

     Difficulty

     GPA

    3.93

    Last Taught

    Spring 2025

    The course will cover recent work in Computer Science and Economics the enables the appropriate analysis of dynamic marketplaces where agents rely on algorithmic tools to make decisions and compete. The course will cover a range of fundamental concepts from machine learning and convex optimization and connect them with the concepts in game theory and Economics of information.

  • ECON 4820

    Experimental Economics
     Rating

    3.67

     Difficulty

    2.00

     GPA

    3.81

    Last Taught

    Spring 2026

    Explores the use of laboratory methods to study economic behavior. Topics include experimental design, laboratory technique, financial incentives, and analysis of data. Emphasizes applications: bargaining, auctions, market price competition, market failures, voting, contributions to public goods, lottery choice decisions, and the design of electronic markets for financial assets. Prerequisite: ECON 3010 or 3110 and a course in statistics, or instructor permission.