Estimating the Effect of Exchange Rate Changes on Total Exports Staff working paper 2019-17 Thierry Mayer, Walter Steingress This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F12, F3, F31, F32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
The Anatomy of Sentiment-Driven Fluctuations Staff working paper 2021-33 Sushant Acharya, Jess Benhabib, Zhen Huo We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E20, E3, E32, F, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects Staff working paper 2019-16 Kerem Tuzcuoglu Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Economic models
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