rd_09feb3.DVI
Optimal Bandwidth Choice for the Regression Discontinuity Estimator∗ Guido Imbens† and Karthik Kalyanaraman‡ First Draft: June 2008 This Draft: February 2009 Abstract We investigate the problem of optimal choice of the smoothing parameter (bandwidth) for the regression discontinuity estimator. We focus on estimation by local linear regression, which was shown to be rate optimal (Porter, 2003). Inv
Publications | Emmanuel Farhi
We study supply and demand shocks in a general disaggregated model with multiple sectors, factors, and input-output linkages, as well as downward nominal wage rigidities and a zero lower bound constraint. We use the model to understand how the Covid-19 crisis, an omnibus of supply and demand shocks, affects output, unemployment, and inflation, and how it leads to the coexistence of tight and slack
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