Showing 1 - 10 of 13,758
Commission proposes a production function methodology that involves the estimation of two classes of Gaussian state space models … unobserved component models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include … preparation, model specification, and estimation processes using RGAP. …
Persistent link: https://www.econbiz.de/10013256541
This paper considers a non-stationary dynamic factor model for large datasets to disentangle long-run from short-run co-movements. We first propose a new Quasi Maximum Likelihood estimator of the model based on the Kalman Smoother and the Expectation Maximisation algorithm. The asymptotic...
Persistent link: https://www.econbiz.de/10011803273
In this discussion paper we introduce time-varying parameters in the dynamic Nelson–Siegel yield curve model for the simultaneous analysis and forecasting of interest rates of different maturities. The Nelson–Siegel model has been recently reformulated as a dynamic factor model with vector...
Persistent link: https://www.econbiz.de/10011373825
easily integrated into Bayesian estimation procedures like the Gibbs sampler. By allowing for incomplete data sets, the …
Persistent link: https://www.econbiz.de/10012510141
We adopt an unobserved components time series model to extract financial cycles for the United States and the five largest euro area countries over the period 1970 to 2014. We find that credit, the credit-to-GDP ratio and house prices have medium-term cycles which share a few common statistical...
Persistent link: https://www.econbiz.de/10011456728
The analysis of large panel data sets (with N variables) involves methods of dimension reduction and optimal information extraction. Dimension reduction is usually achieved by extracting the common variation in the data into few factors (k, where k N). In the present project, factors are...
Persistent link: https://www.econbiz.de/10010221685
estimation of VARMAs is perceived to be challenging and proposed various ways to simplify it. Nevertheless, VARMAs continue to be …
Persistent link: https://www.econbiz.de/10013021301
Dynamic factor models based on Kalman Filter techniques are frequently used to nowcast GDP. This study deals with the selection of indicators for this practice. We propose a two-tiered mechanism which is shown in a case study to produce more accurate nowcasts than a benchmark stochastic process...
Persistent link: https://www.econbiz.de/10011790808
We propose an easy technique to test for time-variation in coefficients and volatilities. Specifically, by using a noncentered parameterization for state space models, we develop a method to directly calculate the relevant Bayes factor using the Savage-Dickey density ratio — thus avoiding the...
Persistent link: https://www.econbiz.de/10013012326
We propose a new approach to the modelling of the term structure of interest rates. We consider the general dynamic factor model and show how to impose smoothness restrictions on the factor loadings. We further present a statistical procedure based on Wald tests that can be used to find a...
Persistent link: https://www.econbiz.de/10011378359