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Inference on Optimal Policy Values and Other Irregular Functionals via Smoothing
Vasilis Syrgkanis, Stanford University
Constructing confidence intervals for the value of an optimal treatment policy is an important problem in causal inference. Insight into the...
Regression Discontinuity Design with Distribution-Valued Outcomes
David van Dijcke, University of Michigan
This article introduces a regression discontinuity design for distribution-valued outcomes (R3D), extending the standard RDD framework to...
Joint Econometrics Seminar and ISR-Zwerdling Seminar in Labor Economics
Stephane Bonhomme, University of Chicago
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Nonlinear Micro Income Processes with Macro Shocks, joint with Martin Almuzara, Manuel Arellano, and Richard Blundell
Stephane Bonhomme, University of Chicago
We propose a nonlinear framework to study the dynamic transmission of aggregate and idiosyncratic shocks to household income that exploits...
Genuinely Robust Inference for Clustered Data
Harold Chiang, University of Wisconsin-Madison
Conventional methods for cluster-robust inference are inconsistent when clusters of unignorably large size are present. We formalize this...
Joint Michael Beauregard Seminar in Macroeconomics and Econometrics Seminar: Tuesday, December 2
Juan Rubio-RamÃrez, Emory University
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