Predictive Density Combination Using a Tree-Based Synthesis Function Staff working paper 2023-61 Tony Chernis, Niko Hauzenberger, Florian Huber, Gary Koop, James Mitchell This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Ten Isn’t Large! Group Size and Coordination in a Large-Scale Experiment Staff working paper 2020-30 Jasmina Arifovic, Cars Hommes, Anita Kopányi-Peuker, Isabelle Salle Economic activities typically involve coordination among a large number of agents. These agents have to anticipate what other agents think before making their own decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, C92, D, D8, D83, D9, D90, G, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk
Gender Gaps in Time Use and Entrepreneurship Staff working paper 2024-43 Pedro Bento, Lin Shao, Faisal Sohail The prevalence of entrepreneurs, particularly low-productivity non-employers, declines as economies develop. This decline is more pronounced for women. Relative to men, women are more likely to be entrepreneurs in poor economies but less likely in rich economies. Content Type(s): Staff research, Staff working papers JEL Code(s): J, J2, L, L2, O, O1 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data Staff working paper 2017-61 Lance Lochner, Youngmin Park, Youngki Shin Economists disagree about the factors driving the substantial increase in residual wage inequality in the United States over the past few decades. To identify changes in the returns to unobserved skills, we make a novel assumption about the dynamics of skills (especially among older workers) rather than about the stability of skill distributions across cohorts, as is standard. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C23, J, J2, J24, J3, J31 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply