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.
A study of the analysis of quantitative data, with special emphasis on the application of statistical methods to economic problems. A student may not receive credit for both ECON 360 and ECON 361.
Requisite: MATH 111, or equivalent and at least a "B" grade in ECON 111/111E or a "B-" in ECON 200–290, or equivalent.
Fall semester: Limited to 30 students each section. Professor Gebresilasse.
Spring semester: Limited to 30 students. Professor Theoharides.
A study of the analysis of quantitative data, with special emphasis on the application of statistical methods to economic problems. A student may not receive credit for both ECON 360 and ECON 361.
Requisite: MATH 111, or equivalent and at least a "B" grade in ECON 111/111E or a "B-" in ECON 200–290, or equivalent.
Fall semester: Limited to 30 students each section. Professor Gebresilasse.
Spring semester: Limited to 30 students. Professor Theoharides.
This course covers similar material to that covered in ECON 330 but is mathematically more rigorous and moves at a more rapid pace. A student may not receive credit for both ECON 330 and ECON 331.
Requisite: At least a "B" grade in ECON 111/111E or a "B-" grade in ECON 200–290, or equivalent, and MATH 121 or equivalent, or consent of the instructor. Limited to 20 students. Fall semester. Professor Honig.
How to handle overenrollment: Maintain a waiting list, and give preference to majors or potential majors.
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.
Requisite: Math 111 or equivalent and at least a "B" grade in ECON 111/111E or a "B-" in ECON 200–290, or equivalent.
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.
Requisite: MATH 111, or equivalent and at least a "B" grade in ECON 111/111E or a "B-" in ECON 200–290, or equivalent.
Independent reading course. Full course.
Fall and spring semesters. The Department.
How to handle overenrollment: null
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: TBD based on student plan with faculty advisor(s).
Climate change and enhanced public awareness about environmental (E) and social (S) issues have transformed how businesses operate. Analysts and shareholders have long understood the consequences of poor corporate governance (G). In contrast, incorporating environmental and social factors into investment decision-making has evolved more slowly. The course considers ESG factors in their complexity and interconnection by assessing companies’ ESG performance and its material impact on stakeholders’ current and long-term wealth.
This is an introduction to financial markets and the economic fundamentals of investment decisions. The overarching course goal is to increase financial literacy and awareness of how financial and investment decisions are made. Students will gain an integrated perspective on how time, risk, return, and uncertainty are interconnected.
This course will examine the patterns, causes, and consequences of international trade. We will begin by exploring empirical data on international trade, addressing questions such as: How has trade evolved over time? Which countries exhibit trade deficits or surpluses? And which country pairs trade more than others? Moving forward, we will use classic models of international trade to discuss the determinants of trade patterns. Key questions we will address include: Why and how much do nations trade? What factors determine the composition of exported goods of a given country?
