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UID:10000831-1715778000-1715788800@ccpr.ucla.edu
SUMMARY:Christopher Walters\, University of California\, Berkeley (STC Workshop)\, Title: Empirical Bayes and large-scale inference.
DESCRIPTION:Biography: Christopher Walters is an Associate Professor of Economics in the Department of Economics at the University of California\, Berkeley. Dr. Walters joined the faculty at Berkeley after completing his PhD in economics at MIT in 2013. He is also a Research Associate in the NBER programs on education and labor studies\, an IZA Research Fellow and an affiliate of JPAL-North America and MIT’s Blueprint Labs. His academic research focuses on topics in labor economics\, the economics of education\, and applied econometrics\, including work on school choice\, early childhood programs\, methods for evaluating school quality\, experimental measurement of labor market discrimination\, causal inference\, and empirical Bayes methods. \nAbstract: This workshop will cover empirical Bayes methods for studying heterogeneity\, estimating individual effects\, and making decisions in settings with many unit-specific parameters. Examples include studies of school\, teacher\, and physician quality; neighborhood effects on economic mobility; firm effects on wages; employer-specific labor market discrimination; and individualized treatment effect predictions and policy recommendations. Topics will include methods for quantifying variation in effects\, empirical Bayes shrinkage\, connections to machine learning methods\, and large-scale inference tools for multiple testing and decision-making. The lecture will be accompanied by coding examples. \nA recording of this event can be found here
URL:https://ccpr.ucla.edu/event/christopher-walters-university-of-california-berkeley/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Seminar,CCPR Workshop,Divisional Publish
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DTSTART;TZID=America/Los_Angeles:20240522T130000
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CREATED:20230929T005920Z
LAST-MODIFIED:20240517T220405Z
UID:10000832-1716382800-1716393600@ccpr.ucla.edu
SUMMARY:Peter Hull\, Brown University\, "Formula Instruments" (STC Workshop)
DESCRIPTION:Biography:\nPeter Hull is a Professor of Economics at Brown University\, a Faculty Research Fellow in the NBER Labor Studies\, Education\, and Health Care programs in Labor Studies\, and the econometrics editor at the Review of Economics and Statistics. His research spans a variety of topics in applied econometrics\, education\, health care\, discrimination\, and criminal justice. He was awarded an Alfred P. Sloan Research Fellowship in 2023 in recognition of this work. \nFormula Instruments\nAbstract:\nMany studies in economics use instruments or treatments which combine a set of exogenous shocks with other predetermined variables by a known formula. Examples include shift-share instruments\, measures of social or spatial spillovers\, and treatments capturing eligibility for a public policy. This workshop reviews recent econometric tools for this setting\, which leverage the assignment process of the exogenous shocks and the structure of the formula for identification. Practical insights will be illustrated with two empirical applications and a coding lab.
URL:https://ccpr.ucla.edu/event/peter-hull-brown-university/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Seminar,CCPR Workshop,Divisional Publish
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