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• Bond and Equity Exposures to Macroeconomic and Monetary Policy Risks

• Forecast Rationality Tests based on Multi-Horizon Bounds

• Bounds on the Counterfactual Distribution of Revenues in Auctions with Reserve Prices

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  How is Machine Learning Useful for Macroeconomic Forecasting?

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  Automatic Debiased Machine Learning with Generic Machine Learning for Static and Dynamic Causal Parameters

• Dealing with a Technological Bias: The Difference-in-Difference Approach

• 2024 NBER-NSF Time Series Conference

• Nonparametric Bayesian Analysis of Panel Data Models: A Density Forecast Perspective

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• Carolina Caetano

• 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

• Optimal Monetary Policy in a Data-Rich Environment