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Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice
A Strategic Model of Software Dependency Networks
The Pruned State-Space System for Non-Linear DSGE Models
Fatih Guvenen
Efficient Estimation for Staggered Rollout Designs
Robust Confidence Intervals in Nonlinear Regression Under Weak Identification
Yongmaio Hong
Measuring the "Dark Matter" in Asset Pricing Models
No Econometrics Workshop
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
Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting
Exogeneity Tests and IV Estimation: Is the Cure Worse than the Illness?
How is Machine Learning Useful for Macroeconomic Forecasting?
Elena Manresa
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