Showing 1 - 10 of 51
We argue that the next generation of macro modellers at Inflation Targeting central banks should adapt a methodology from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model specifications (e.g., initial conditions, parameters, and boundary...
Persistent link: https://www.econbiz.de/10004976646
mechanisms. The combined density scheme is incorporated in a Bayesian Sequential Monte Carlo method which re-balances the set of …
Persistent link: https://www.econbiz.de/10011124200
We estimate demand, supply, monetary, investment and financial shocks in a VAR identified with a minimum set of sign restrictions on US data. We find that financial shocks are major drivers of fluctuations in output, stock prices and investment but have a limited effect on inflation. In a second...
Persistent link: https://www.econbiz.de/10010800723
We propose a methodology for producing forecast densities for economic aggregates based on disaggregate evidence. Our ensemble predictive methodology utilizes a linear mixture of experts framework to combine the forecast densities from potentially many component models. Each component represents...
Persistent link: https://www.econbiz.de/10008516805
We examine the importance of incorporating macroeconomic information and, in particular, accounting for model uncertainty when forecasting the term structure of U.S.interest rates. We start off by analyzing and comparing the forecast performance of several individual term structure models. Our...
Persistent link: https://www.econbiz.de/10008464563
We propose a new VAR identfication scheme that enables us to disentangle labor supply shocks from wage bargaining shocks. Identification is achieved by imposing robust signrestrictions that are derived from a New Keynesian model with endogenous labor force participation. According to our...
Persistent link: https://www.econbiz.de/10011277156
and density forecasts of macroeconomic variables. In this analysis, we consider both Bayesian autoregressive and Bayesian …, stochastic volatility coupled with fat tails, GARCH and mixture of innovation models. The comparison is based on the accuracy of …
Persistent link: https://www.econbiz.de/10010787777
Real Business Cycle (RBC) and Dynamic Stochastic General Equilibrium (DSGE) methods have become essential components of the macroeconomist’s toolkit. This literature review stresses recently developed techniques for computation and inference, providing a supplement to the Romer (2006)...
Persistent link: https://www.econbiz.de/10005481440
We propose a novel Bayesian model combination approach where the combination weights depend on the past forecasting … relative to a host of existing combination schemes. We find that our method produces markedly more accurate predictions than … the existing model combinations, both in terms of statistical and economic measures of out-of-sample predictability. We …
Persistent link: https://www.econbiz.de/10011162487
A long strand of literature has shown that the world has become more global. Yet, the recent Great Global Recession turned out to be hard to predict, with forecasters across the world committing large forecast errors. We examine whether knowledge of in-sample co-movement across countries could...
Persistent link: https://www.econbiz.de/10011208180