Showing 1 - 10 of 16
This paper compares the forecasting performance of different models which have been proposed for forecasting in the … macroeconomic time series, we demonstrate the presence of structural breaks and their importance for forecasting in the vast … majority of cases. We find no single forecasting model consistently works best in the presence of structural breaks. In many …
Persistent link: https://www.econbiz.de/10009142658
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g. Markov switches in regime or structural breaks). An important aspect of our approach is that we allow both the cointegrating vectors and the number of...
Persistent link: https://www.econbiz.de/10009320949
This paper proposes an infinite hidden Markov model to integrate the regime switching and the structural break dynamics in a single, coherent Bayesian framework. Two parallel hierarchical structures, one governing the transition probabilities and another governing the parameters of the...
Persistent link: https://www.econbiz.de/10010551751
In this paper we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive … application involving forecasting inflation, real output, and interest rates demonstrates the feasibility and usefulness of our …
Persistent link: https://www.econbiz.de/10010540685
We study the workings of the factor analysis of high-dimensional data using arti…cial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allow us to shed some light on the practical...
Persistent link: https://www.econbiz.de/10008751298
-to-medium term forecasting performance are investigated. We show that the BDI has a cyclical pattern which has been stable except for … a period after the 2007 crisis. This pattern has implications for improved forecasting and strategic management on the …
Persistent link: https://www.econbiz.de/10010728023
A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...
Persistent link: https://www.econbiz.de/10005091090
In this paper I propose a novel optimal linear ølter for smoothing, trend and signal extraction for time series with a unit root. The filter is based on the Singular Spectrum Analysis (SSA) methodology, takes the form of a particular moving average and is di¨erent from other linear filters...
Persistent link: https://www.econbiz.de/10005091110
Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available … test different forecasting horizons, in order to investigate the speed of deterioration of forecasting quality. We compare … appears to diminish as the forecasting horizon widens, eventually leading the SF model to being preferred for more distant …
Persistent link: https://www.econbiz.de/10010734921
monetary policy analysis and macro-forecasting with the use of advanced Bayesian methods. …
Persistent link: https://www.econbiz.de/10010656010