Classes

Economics 2150: Machine Learning in Econometrics: Prediction, Estimation, and Big Data

Semester: 

Spring

Offered: 

2016

Innovations in machine learning ('big data') have created many engineering breakthroughs from real time voice recognition to automatic categorization (and in some cases production) of news stories. Since these techniques are at their essence novel ways to work with data, they should also have implications for social science. This course explores the intersection of machine learning and social science and aims to answer a few questions about these new techniques: (i) How do they work and what kinds of statistical guarantees can be made about their performance? (ii) How can they be used to

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Economics 1160: Data Science and Behavioral Economics: Application to Systems Medicine

Semester: 

Spring

Offered: 

2016

Large data sets, combined with advances in "data science", have generated new insights into complex empirical phenomena. We explore how these developments can be transformative for clinical medicine, and for human health and well-being. Since human judgment is at the core of medicine, we draw on insights from behavioral science to explore human decision making and understanding of medicine. We develop the implications of these concepts for health policy and for clinical topics such as cause of death, complications and aging.

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Economics 2030: Psychology and Economics

Semester: 

Fall

Offered: 

2013

Explores economic and psychological models of human behavior. Topics include bounded rationality, intertemporal choice, decision making under uncertainty, inference, choice heuristics, and social preferences. Economic applications include asset pricing, corporate finance, macroeconomics, labor, development, and industrial organization.

Economics 980q: Economics Design Lab

Semester: 

Fall

This class offers a chance for students to see how social science insights (economics, finance and psychology) can be used to design policies and products that solve important problems. This class offers a chance for students use insights from behavioral economics to design solutions to important and/or interesting problems. Each student will be asked to pick one concrete problem and craft a solution. Some students may focus on designing behaviorally informed policy solutions to problems such as unemployment insurance. Others may focus on designing new products for everything from personal

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