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329 Results

Macroeconomic Uncertainty Through the Lens of Professional Forecasters

Staff working paper 2016-5 Soojin Jo, Rodrigo Sekkel
We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.

Interaction of Macroprudential and Monetary Policies: Practice Ahead of Theory

Staff discussion paper 2024-18 Thibaut Duprey, Yaz Terajima, Jing Yang
We draw on the Canadian experience to examine how monetary and macroprudential policies interact and possibly complement each other in achieving their respective price and financial stability objectives.

Digitalization: Labour Markets

Staff discussion paper 2023-16 Alex Chernoff, Gabriela Galassi
In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work.

Firm Heterogeneity and Adverse Selection in External Finance: Micro Evidence and Macro Implications

Staff working paper 2025-20 Xing Guo, Pablo Ottonello, Thomas Winberry, Toni Whited
We develop a heterogeneous firm macro model with private information and quantify the aggregate relevance of asymmetric information. We find that a spike in private information account for 40% of the decline in aggregate investment during the 2007-2009 financial crisis and made monetary stimulus significantly less effective.

Liquidation Mechanisms and Price Impacts in DeFi

Staff working paper 2025-12 Phoebe Tian, Yu Zhu
This paper theoretically and empirically examines the price impacts of liquidations in DeFi and how different liquidation mechanisms affect the price impacts.

Parallel Tempering for DSGE Estimation

Staff working paper 2024-13 Joshua Brault
I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.

Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models

Staff discussion paper 2022-19 James Younker
This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models.
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