Presentations
Statistically Valid Inferences from Privacy Protected Data (Deloitte),
at
Deloitte,
Thursday, July 14, 2022:
Statistically Valid Inferences from Privacy Protected Data (SICSS, University of Rochester),
at
SICSS, University of Rochester,
Monday, May 9, 2022:
Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (Harvard School of Public Health),
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Seminar on Health System Quality, Prof Margaret Kruk,
Thursday, May 5, 2022:
Noisy Data from the Noisy Census (Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University),
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Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University,
Thursday, April 28, 2022:
Statistically Valid Inferences from Privacy Protected Data (Institute for Analytical Sociology, Norrköping, Sweden),
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Institute for Analytical Sociology, Norrköping, Sweden,
Wednesday, March 2, 2022:
Simplifying Matching Methods for Causal Inference (University of Wisconsin at Madison),
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University of Wisconsin at Madison, Department of Population Health Sciences,
Monday, February 7, 2022:
Scientific Inferences From Privatized Census Data (Federal Reserve Board, panel),
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Panel Discussion on the Future Direction of the Census Bureau's American Community Survey, for Federal Reserve Staff,
Tuesday, November 30, 2021:
Simplifying Matching Methods for Causal Inference (University of Wisconsin at Madison),
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University of Wisconsin at Madison, Department of Population Health Sciences,
Monday, October 11, 2021:
How to Measure Legislative District Compactness If You Only Know it When You See it (IPSA World Congress),
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IPSA World Congress, Panel on Innovative Methods in Political Science,
Monday, July 12, 2021