The price puzzle and indeterminacy in an estimated DSGE model [PDF]
We extend Lubik and Schorfheide's (2004) likelihood-based estimation of dynamic stochastic general equilibrium (DSGE) models under indeterminacy to encompass a sample period including both determinacy and indeterminacy by implementing the change-point ...
Anatoliy Belaygorod, Michael J. Dueker
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Uncertainty before and during COVID-19: A survey. [PDF]
Castelnuovo E.
europepmc +1 more source
Forecasting the South African Economy: A DSGE-VAR Approach [PDF]
Journal of Economic Literature Classification: E17, E27, E32, E37, E47DSGE Model;VAR and BVAR Model;Forecast Accuracy;DSGE Forecasts;VAR Forecasts;BVAR ...
Gupta, R., Liu, G., Schaling, E.
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Marvin Goodfriend: economist and central banker. [PDF]
Marshall DA.
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Sticky prices versus monetary frictions: an estimation of policy trade-offs [PDF]
We develop a two-sector monetary model with a centralized and decentralized market. Activities in the centralized market resemble those in a standard New Keynesian economy with price rigidities.
Frank Schorfheide, S. Boragan Aruoba
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The macroeconomic impacts of the COVID-19 pandemic: A SIR-DSGE model approach. [PDF]
Chan YT.
europepmc +1 more source
DSGE Estimation Using Generalized Empirical Likelihood and Generalized Minimum Contrast. [PDF]
Boaretto G, Laurini MP.
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Monetary policy in an uncertain world: Probability models and the design of robust monetary rules. [PDF]
The past forty years or so has seen a remarkable transformation in macro-models used by central banks, policymakers and forecasting bodies. This papers describes this transformation from reduced-form behavioural equations estimated separately, through to
Levine, Paul
core
Do government outlays crowd-out private consumption? Evidence from the European Union. [PDF]
Bölükbaşı ÖF, Çolak O.
europepmc +1 more source
Bayesian Estimation of DSGE Models: Is the Workhorse Model Identified? [PDF]
Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of the parameters of a DSGE model. They show that, if a parameter is well identified, the precision of the posterior should improve as the (artificial) data ...
Evren Caglar +2 more
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