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Tim Cogley
Nicholas Kiefer
Asymptotic Distortions in Locally Misspecified Moment Inequality Models
Semiparametric Efficiency in Nonlinear LATE Models
Optimal experimental design under unobserved reclassification and partial interference
Dynamic Analysis of Multivariate Time Series Using Conditional Wavelet Graphs
Confidence Sets for Continuous and Discontinuous Functions of Parameters
Assessing the Effects of Large-Scale Asset Purchases in a Zero-Interest-Rate Environment through the Lens of DSGE and VAR Models
How is Machine Learning Useful for Macroeconomic Forecasting?
Elena Manresa
Automatic Debiased Machine Learning with Generic Machine Learning for Static and Dynamic Causal Parameters
Are We Fragmented Yet? Measuring Geopolitical Fragmentation and its Causal Effects
Timothy Christensen
Valentin Verdier
In-sample Asymptotics and Across-sample Efficiency Gains for High Frequency Data Statistics
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