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36 courses
Ranked courses have at least 100 recorded letter grades.
An advanced course on Markets with Frictions that uses search theory to develop theoretical tools for studying monetary, public, and financial economics, focusing on frictions in formal models and applied scenarios.
Workshop in Labor Economics is the second course in a two-seminar sequence analyzing current research on wage determination and labor market functioning.
Advanced Bayesian statistics course covering theory, methods, and computational procedures for data analysis, including MCMC and variational inference.
Introduction to data underlying quantitative economic analysis. Covers formulating research questions, accessing economic data sources, conducting preliminary and formal analysis, and reporting findings professionally.
A student described the class as essentially coding econometrics in Python with almost no code explanation, finding it impossible without prior CS220 and econometrics training.
A student reported two weekly homework assignments involving reading 28-53 pages of material, each typically taking at least two hours. The final paper demanded extensive industry analysis and was considered the most challenging aspect.
Financial Econometrics covers econometric analysis of financial time series, including linear and multivariate models, volatility estimation, and model testing.
Advanced treatment of intermediate macroeconomic theory using a mathematical approach to national income, savings, consumption, investment, employment, inflation, and stabilization.
The course required significant effort with a large volume of homework, including proof and Excel assignments. Students reported the derivations and overall workload were demanding, with one noting it was among the hardest classes they had taken.
Second course in a two-semester microeconomics sequence covering market theory, efficiency, externalities, price roles, and information economics including moral hazard and adverse selection.
Microeconomics II covers consumer and producer theory, markets under partial and general equilibrium, externalities, market power, decision theory, and game theory.
ECONOMETRICS II covers econometric methods, theory, and applications including instrumental variables, GMM, panel data, limited dependent variables, time series, and vector autoregressions.
Machine Learning for Economists introduces ML techniques for economic analysis, focusing on supervised/unsupervised learning, large data analysis, and causal inference methods using R.
Second course in the Macroeconomics Sequence covering asset pricing, fiscal/monetary policy, mechanism design, and estimation/calibration of business cycle models.
Focuses on the study of the allocation of scarce resources across space. Uses economic methods to analyze urban real estate. Topics covered include the determinants of real estate values, the location decisions of households and firms, land use, urban growth and agglomeration, real estate pricing, cycles, development, housing market and policies, and sustainable development.
Past student reviews · Stephen Malpezzi, Yongheng Deng
One student found the class very easy, while another reported some assignments were difficult. Instructors went over homework in class, which helped make those challenging tasks much easier to complete.
Analyzes aggregate growth, income distribution, and poverty in lower-income economies, exploring why some individuals advance economically while others fall behind.
The class was manageable with effort, and everything needed for assessments was covered in lectures or readings. Grading expectations were clear and fair, though the material was not considered easy.
The class involved a large group project and lots of readings, with students expecting a lot of work overall. One reviewer described the grading as arbitrary, while another noted the course was very difficult and advised against taking it for an easy A.
Addresses current issues in modern macroeconomic policymaking, covering fiscal and monetary policy, financial and sovereign debt crises, and financial regulation.
Exams and homework were described as predictable and similar to problem sets, yet one student reported tests were extremely difficult with class averages around 45%.
Intermediate macroeconomic theory covering national income determination, savings, consumption, investment, and their relation to employment, inflation, and stabilization.
Past student reviews · Simeon Alder, Ananth Seshadri
Simeon Alder’s exams featured chain-linked questions with no margin for error, while Ananth Seshadri’s exams were described as harder than any advanced economics course. Seshadri’s exams were extremely difficult but came with a generous curve.
Quantitative Tools for Economics refines math skills for advanced econ, applying algebra, financial mathematics, and calculus to models and optimization problems.
Introduction to macroeconomic measurement, aggregate demand and supply models, and the role of fiscal and monetary policy in addressing unemployment, inflation, and economic growth.
Exams consisted of multiple choice and free response questions, and students were allowed to use a cheat sheet. Homework was generally easy, with many answers provided in discussion sections.
Gregory Pac’s course included five midterms with the lowest score dropped. Some students found the midterms difficult to study for, noting that practice questions did not always match the exam style.
The course was conceptually challenging, with problem sets serving as excellent preparation for exams. Students noted that weekly homeworks did not take too long to complete.
Analyzes public sector problems in education, urban areas, welfare, natural resources, and environment, applying economic analysis tools to domestic issues.
The course did not assign much homework, but students emphasized that attending lectures was necessary for success. Weekly problem sets and chapter study guides served as the main preparation for tests.
Behavioral Economics examines empirical departures from rational decision-making norms and alternative theories using psychological enrichments, covering topics like loss aversion and time-inconsistent preferences.
One student estimated that the reading alone took at least five hours per week, noting that the assignments were extensive even if they rarely appeared on exams.
The course demands significant effort, including heavy reading and preparation for exams that students found challenging. Laplante wrote the textbook used in the class, which contributed to the volume of required reading.