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need to use nonlinear models to describe business cycle dynamic behaviour. Their approach is model (estimation)-free, based … frequently useful. Contrarily to common knowledge, nonlinear business cycle variation does not seem to be a universal … nonlinear dynamics for some further countries is obtained indirectly, through unit root tests, but this can hardly be invoked to …
Persistent link: https://www.econbiz.de/10011596878
We investigate the usefulness of the European Commission confidence indicators in forecasting real GDP growth rates in the short-run in selected euro areas countries (Belgium, Spain, Germany, France, Italy and the Netherlands) which account for almost 90% of the euro area. We estimate a linear...
Persistent link: https://www.econbiz.de/10013320245
The low-frequency movements of many economic variables play a prominent role in policy analysis and decision-making. We develop a robust estimation approach for these slow-moving trend processes, which is guided by a judicious choice of priors and is characterized by sparsity. We present some...
Persistent link: https://www.econbiz.de/10013548955
We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology has the potential to resolve well-known problems. In each case we consider,...
Persistent link: https://www.econbiz.de/10012898448
DSGE models are typically estimated assuming the existence of certain structural shocks that drive macroeconomic fluctuations. We analyze the consequences of introducing nonfundamental shocks for the estimation of DSGE model parameters and propose a method to select the structural shocks driving...
Persistent link: https://www.econbiz.de/10010517720
DSGE models are typically estimated assuming the existence of certain primal shocks that drive macroeconomic fluctuations. We analyze the consequences of estimating shocks that are \non-existent" and propose a method to select the primal shocks driving macroeconomic uncertainty. Forcing these...
Persistent link: https://www.econbiz.de/10011774976
The low-frequency movements of many economic variables play a prominent role in policy analysis and decision-making. We develop a robust estimation approach for these slow-moving trend processes, which is guided by a judicious choice of priors and is characterized by sparsity. We present some...
Persistent link: https://www.econbiz.de/10014257843
This study examines whether and how important it is to adjust output gap frameworks during the COVID-19 pandemic and similar unprecedentedly large-scale episodes. Our proposed modelling framework comprises a Bayesian Structural Vector Autoregresion with an identification setup based on a...
Persistent link: https://www.econbiz.de/10014232751
DSGE models are typically estimated using Bayesian methods, but a researcher may want to estimate a DSGE model with full information maximum likelihood (FIML) so as to avoid the use of prior distributions. A very robust algorithm is needed to find the global maximum within the relevant parameter...
Persistent link: https://www.econbiz.de/10011407664
Der Aufsatz untersucht einige populäre Methoden zur Messung des Output Gaps auf der Basis von aggregierten Daten für die Euro-Zone. Obwohl die Methoden einige wichtige gemeinsame Eigenschaften aufweisen, zeigen sie auch erhebliche Unterschiede; insbesondere ist die Korrelation zwischen...
Persistent link: https://www.econbiz.de/10011473858