Why study literature? In many contexts, including the contexts of most other academic disciplines, one reads in order to extract the gist of a text. By studying literature, we enable ourselves to do much more than that. Studying literature makes it possible to recover a relationship to language that we all once had, in which words and their interrelationships were new, strange, and rich with possibility.

The senior departmental honors seminar is a workshop that supports the first half of senior thesis work in economics. Students learn research methods and engage with economic research via close reading, structured writing, empirical analysis, theoretical reasoning, and active participation in discussion. Students develop and refine their own research proposals, so that by the end of the semester each student’s proposal clearly states a research question, places that question into context, and outlines a feasible approach.

Independent reading course. Full course.

Admission with consent of the instructor. Fall and spring semesters. The Department.

Game theory analyzes situations in which multiple individuals (or firms, political parties, countries) interact in a strategic manner. It has proved useful for explaining cooperation and conflict in a wide variety of strategic situations in economics, political science, and elsewhere. Such situations can include, for example, firms interacting in imperfectly competitive markets, auctions, arms races, political competition for votes, and chess. This course will provide an introduction to the tools and insights of game theory.

Education is one of the most promising ways to fight inequality, yet inequality in educational attainment is rising in the United States. This course focuses on understanding inequality in education in the U.S., and whether and how education reform can reduce it. The course begins with a brief overview of the historical and current relationship between educational attainment and inequality in the U.S. We then study the empirical economics literature examining whether prominent education policies and reforms reduce inequality in educational attainment.

Behavioral economics is a young field which attempts to improve upon existing economic models and their attendant welfare implications by expanding the economists' toolkit to include insights from psychologists, sociologists, and other social scientists. This course offers an advanced overview of behavioral economics with special attention to the role of social preferences. At the core of the course is a focus on the theory and research methods underlying cornerstone findings in behavioral economics (e.g. loss aversion, the endowment effect, time inconsistency).

This course studies the specification, estimation, and testing of econometric models based on the maximum likelihood and method of moments principles. It builds from mathematical statistics and utilizes matrix algebra, the rudiments of which will be introduced in the course. The course will also review applications of econometric models to various areas of micro and macroeconomics. A student may not receive credit for both ECON 360 and ECON 361.

This course develops macroeconomic models of the determinants of economic activity, inflation, unemployment, and economic growth. The models are used to analyze recent monetary and fiscal policy issues in the United States, and also to analyze the controversies separating schools of macroeconomic thought such as the New Keynesians, Monetarists and New Classicals. A student may not receive credit for both ECON 330 and ECON 331.

For Fall 2020, Tuesday and Thursday lectures will be on-line, and Friday discussions will be sections of 20-25 students in person.

This course covers similar material to that covered in ECON 300 but is mathematically more rigorous and moves at a more rapid pace. A student may not receive credit for both ECON 300 and ECON 301.

Requisite: At least a "B" grade in ECON 111/111E or a "B-" grade in ECON 200–290, or equivalent, and MATH 211 or equivalent, or consent of the instructor. Fall semester. Limited to 20 students. Professor Baisa.

This course develops the tools of modern microeconomic theory and notes their applications to matters of utility and demand; production functions and cost; pricing of output under perfect competition, monopoly, oligopoly, etc.; pricing of productive services; intertemporal decision-making; the economics of uncertainty; efficiency, equity, general equilibrium; externalities and public goods. A student may not receive credit for both ECON 300 and ECON 301.