Similar Search Results

Streicher, Sina - 2022

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

Improving output gap estimation : a bottom-up approach

Rathke, Alexander; Streicher, Sina - 2023

We propose a multivariate Bayesian state space model to identify potential growth and the output gap consistent with the dynamics of the underlying production sectors of the economy and those of inflation and the labor market. Our approach allows us to decompose economic fluctuations and...

Persistent link: https://www.econbiz.de/10014427292

Hysteresis and NAIRU in the Euro area

Logeay, Camille; Tober, Silke - 2005 - This version: July 2005

This paper analyses the Nairu in the Euro Area and the influence that hysteresis had on its development. Using the Kalman-filter technique we find that the Nairu has varied considerably since the early seventies. The Kalman-filter technique is applied here using explicit exogenous variables. In...

Persistent link: https://www.econbiz.de/10003744523

Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy

Hauzenberger, Niko; Pfarrhofer, Michael - 2019

Understanding disaggregate channels in the transmission of monetary policy to the real and financial sectors is of crucial importance for effectively implementing policy measures. We extend the empirical econometric literature on the role of production networks in the propagation of shocks along...

Persistent link: https://www.econbiz.de/10012126211

Decomposing the Co-Movement of the Business Cycle : A Time-Frequency Analysis of Growth Cycles in the Euro Area

Crowley, Patrick M. - 2006

This article analyses the frequency components of European business cycles using real GDP by employing multiresolution decomposition (MRD) with the use of maximal overlap discrete wavelet transforms (MODWT). Static wavelet variance and correlation analysis is performed, and phasing is studied...

Persistent link: https://www.econbiz.de/10012734874

The effect of the great moderation on the US business cycle in a time-varying multivariate trend-cycle model

Creal, Drew; Koopman, Siem Jan; Zivot, Eric - 2008

In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...

Persistent link: https://www.econbiz.de/10011376640

Measuring asymmetric stochastic cycle components in US macroeconomic time series

Koopman, Siem Jan; Lee, Kai Ming - 2005

To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...

Persistent link: https://www.econbiz.de/10011346480

Frequency aspects of information transmission in a network of three Western equity markets

Schmidbauer, Harald; Rösch, Angi; Uluceviz, Erhan - 2016

Cycles in the behavior of stock markets have been widely documented. There is an increasing body of literature on whether stock markets anticipate business cycles or its turning points. Several recent studies assert that financial integration impacts positively on business cycle comovements of...

Persistent link: https://www.econbiz.de/10011609909

Real-time forecasting using mixed-frequency VARs with time-varying parameters

Heinrich, Markus; Reif, Magnus - 2020

This paper provides a detailed assessment of the real-time forecast accuracy of a wide range of vector autoregressive models (VAR) that allow for both structural change and indicators sampled at different frequencies. We extend the literature by evaluating a mixed-frequency time-varying...

Persistent link: https://www.econbiz.de/10012154665

Forecasting using mixedfrequency VARs with time-varying parameters

Heinrich, Markus; Reif, Magnus - 2018 - This version: September 2, 2018

We extend the literature on economic forecasting by constructing a mixed-frequency time-varying parameter vector autoregression with stochastic volatility (MF-TVP-SVVAR). The latter is able to cope with structural changes and can handle indicators sampled at different frequencies. We conduct a...

Persistent link: https://www.econbiz.de/10011962204

1
2
3
4
5
6
7
8
9
10
Next
Last