Showing 1 - 10 of 47
The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...
Persistent link: https://www.econbiz.de/10010344635
estimation of the different models, respectively. We find that overall the large Bayesian VAR provides the most precise forecasts …
Persistent link: https://www.econbiz.de/10010489849
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010491104
This paper assesses the relative performance of central bank staff forecasts and of private forecasters for inflation and output. We show that the Federal Reserve (Fed), and less so the European Central Bank (ECB), has a significant information advantage concerning inflation and output...
Persistent link: https://www.econbiz.de/10010339294
This paper uses several macroeconomic and financial indicators within a Markov Switching (MS) framework to predict the turning points of the business cycle. The presented model is applied to monthly German real-time data covering the recession and the recovery after the financial crisis. We show...
Persistent link: https://www.econbiz.de/10010339952
Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....
Persistent link: https://www.econbiz.de/10010342246
Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting model for an eco- nomic aggregate may improve the forecasting accuracy. In this paper we suggest to use boosting as a method to select the disaggregate variables which are most...
Persistent link: https://www.econbiz.de/10010482520
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be...
Persistent link: https://www.econbiz.de/10010484392
the estimation approach. A real-time application to the relationship between daily corporate bond spreads and quarterly …
Persistent link: https://www.econbiz.de/10010481353