Instrumental Variables - Starting February 10th

Scott Cunningham is the author of Causal Inference: the Mixtape.

Scott Cunningham, Mixtape Sessions

Instrumental Variables Mixtape Session. February 10th and 12th

Workshop description:Instrumental variables (IV) is a powerful tool for leveraging external (&quot;exogenous&quot;) variation to estimate the causal effects of otherwise confounded (&quot;endogenous&quot;) variables. This two-day workshop will introduce the basics of IV through different practical examples, formalize the requirements of a valid and powerful IV, and discuss the mechanics of the two-stage least squares (2SLS) estimator. Special focus will be paid on interpreting linear IV under heterogeneous treatment effects and recent advances in judge leniency designs. The course will include substantial group programming exercises, where different IV techniques will be illustrated in real-world applications.Frequently Asked Questions:<a href="https://www.mixtapesessions.io/iv_mar12.html#faq" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://www.mixtapesessions.io/iv_mar12.html#faq </a>Daily Structure:This is a 2-day workshop. The goal of the workshop is for students to gain enough knowledge from the lectures and experience from the programming activities that they become confident and capable enough to implement and interpret these methods in their own work, as well as continue to learn this new material on their own after the workshop concludes. Each day lasts 3 hours with lectures, &quot;coding together” sessions, with breaks and a lunch break. About the instructor:Peter Hull is the Groos Family Assistant Professor of Economics at Brown Univeristy and a Faculty Research Fellow at the National Bureau of Economic Research. He has published papers on topics in applied econometrics, education, healthcare, and criminal justice, in outlets such as the American Economic Review, the Quarterly Journal of Economics, the Review of Economic Studies, and the New England Journal of Medicine. His research is focused on developing and applying new instrumental variable methods to measure the quality of institutions, such as schools or hospitals, as well as discrimination and bias in human and algorithmic decision-making. Prior to Brown, Professor Hull taught at the Kenneth C. Griffin Department of Economics at the University of Chicago and worked at Microsoft Research and the Federal Reserve Bank of New York. He earned his PhD in economics from MIT in 2017, under 2021 Nobel Laureate Josh Angrist.International and Student Pricing: Email causalinf@mixtape.consulting for student pricing.

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Instrumental Variables - Starting February 10th

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Instrumental Variables - Starting February 10th

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