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Economics 14.160 (MIT): PhD Behavioral Economics (2022)

This class, taught jointly with Frank Schilbach, covers recent topics in behavioral economics. Topics include deviations from the standard neoclassical model in terms of (i) preferences (time and risk preferences, reference dependence, and social preferences), (ii) beliefs and learning (overconfidence, projection bias, and attribution bias), and (iii) decision-making (cognition, attention, framing, and persuasion), as well as (iv) market reactions to such deviations. Applications cover a wide range of fields, including public economics, industrial organization, health economics, finance, environment/energy, and development economics.

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NBER Behavioral Public Economics Boot Camp (2022)

The NBER Behavioral Public Economics PhD Student Boot Camp is designed to help graduate students become experts in cutting-edge economics research and techniques at the intersection of behavioral and public economics, and its connections to related fields such as health, labor, household finance, development, and environmental economics. The 2022 camp was co-organized jointly with Doug Bernheim and Dmitry Taubinsky and featured an outstanding lineup of guest lecturers: Nava Ashraf, Raj Chetty, David Laibson, Elizabeth Linos, Michael Grubb, Mario Small, Johannes Spinnewijn, and Stefanie Stantcheva. The camp is funded by the Alfred P. Sloan Foundation and will be offered again in 2023.

Visit the course website for syllabus and lecture slides.

HLS 2589, HKS API-305, Economics 2050 (Harvard): Behavioral Economics, Law, and Public Policy (2021)

This class, taught jointly with Cass Sunstein, explores issues at the intersection of behavioral economics, law, and public policy. The first part of the class involves discussions of philosophical issues around paternalism and nudges, led by Professor Sunstein. Professor Allcott then gives a primer on behavioral economics and behavioral welfare analysis. The final part of the class involves in-depth discussions of specific policy issues, including energy efficiency, sin taxes, social welfare programs, consumer financial protection, and social media content moderation.

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Download lecture slides: behavioral economics and behavioral welfare analysis, economics review, energy efficiency, sin taxes, behavioral economics and poverty, consumer financial protection 1: payday lending, consumer financial protection 2: credit cards, political polarization and the media, social media and content moderation.

Economics 2450A (Harvard): PhD Public Economics (2020)

This is the first of two courses offered in the Public Economics sequence at Harvard in 2020-2021, taught jointly with Raj Chetty. This course covers basic issues in the optimal design of government policies. The goal of the course is to familiarize students with basic empirical methods and theoretical models in applied microeconomics, with a focus on connecting theory to data to inform economic policy. Topics include efficiency costs and incidence of taxation, social insurance, corporate taxation, externalities, education policy, and behavioral public economics.

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Download lecture slides: introduction, racial disparities and discrimination, education policy, public goods and externalities, optimal sin taxes, optimal nudges, and takeup and targeting.

PhD Behavioral Public Economics Lectures at Harvard and MIT (2020)

Download lecture slides: introduction, optimal sin taxes, and optimal nudges.

Behavioral Public Economics Mini-Course at University of Wyoming (2019)

This is a three-day mini-course on behavioral public economics presented as part of the University of Wyoming Bugas Lecture Series.

Download updated lecture slides from the behavioral public economics mini-course website.

Economics 3001-02 (NYU): PhD Behavioral Economics (2017)

This is a second-year PhD course in behavioral economics, focusing on policy-relevant applications. We begin by covering three classes of departures from standard models: non-standard preferences (in particular, present bias), non-standard decisionmaking (in particular, inattention and mental accounting), and non-standard beliefs (in particular, overconfidence). We then cover three applications (behavioral political economy, savings, and poverty). The final five lectures cover behavioral economics and public policy, including behavioral public economics (sin taxes and non-standard responses to taxation) and behavioral industrial organization (with a focus on contracts, consumer “exploitation,” and regulation).

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Economics 316 (NYU): Undergraduate Industrial Organization (2011-2017)

This is a class on data science for business applications, designed for undergraduates in economics and computer science. We cover static monopoly pricing, dynamic pricing, price discrimination, oligopoly, differentiated products, entry models, behavioral industrial organization, and anti-trust. Students learn R and analyze data from business pricing experiments, product planning decisions, cartel enforcement cases, and other contexts. The course integrates real-time electronic polling and in-class quantitative case studies.

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Economics 1601 (NYU): PhD Development Microeconomics (2011-2016)

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Economics 251 (Stanford): PhD Natural Resource and Energy Economics (2014)

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Economics 14.42 (Massachusetts Institute of Technology): Environmental Policy and Economics (2011)

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