November 2019
Causal Inference in the Age of Big Data
Jasjeet Sekhon (UC Berkeley)
E18-304
The rise of massive data sets that provide fine-grained information about human beings and their behavior offers unprecedented opportunities for evaluating the effectiveness of social, behavioral, and medical treatments. With the availability of fine-grained data, researchers and policymakers are increasingly unsatisfied with estimates of average treatment effects based on experimental samples that are unrepresentative of populations of interest. Instead, they seek to target treatments to particular populations and subgroups. Because of these inferential challenges, Machine Learning (ML) is now being…
Find out more »December 2019
IDSS Distinguished Speaker Seminar with Melissa Dell (Harvard University)
Melissa Dell (Harvard University)
E18-304
Please check back soon for more information. About the Speaker: Melissa Dell is a professor in the Economics Department and a faculty research fellow at the National Bureau of Economic Research. Her research focuses on long-run economic development, primarily in Latin America and Asia. She has examined the impacts of weather on economic growth and is currently conducting research about the long-run effects of agrarian reform and agricultural technology investments in Mexico and East Asia. She received a PhD in…
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