Results 151 to 160 of about 834 (189)

Forecasting with DSGE Models [PDF]

SSRN Electronic Journal, 2010
AbstractThis article reviews and illustrates the methodology of forecasting with dynamic stochastic general equilibrium (DSGE) models using Bayesian methods. It discusses an algorithm for estimating the predictive distribution of the observed variables based on draws from the posterior distribution of the DSGE model parameters and simulation of future ...
Christoffel, Kai, Warne, Anders, Coenen, Günter   +2 more
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The FRBNY DSGE Model [PDF]

SSRN Electronic Journal, 2013
The goal of this paper is to present the dynamic stochastic general equilibrium (DSGE) model developed and used at the Federal Reserve Bank of New York. The paper describes how the model works, how it is estimated, how it rationalizes past history, including the Great Recession, and how it is used for forecasting and policy analysis.
Marco Del Negro, Stefano Eusepi, Marc Giannoni, Argia M. Sbordone, Andrea Tambalotti, Matthew Cocci, Raiden B. Hasegawa, M. Henry Linder   +7 more
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The RPEs of RBCs and other DSGEs

Journal of Economic Dynamics and Control, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David Evans, George W. Evans, Bruce McGough   +2 more
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DSGE pileups

Journal of Economic Dynamics and Control, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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DSGE-based priors for BVARs and quasi-Bayesian DSGE estimation [PDF]

Econometrics and Statistics, 2020
A new method for estimating Bayesian vector autoregression (VAR) models using priors from a dynamic stochastic general equilibrium (DSGE) model is presented. The DSGE model priors are used to determine the moments of an independent Normal-Wishart prior for the VAR parameters.
Richard Harrison, Konstantinos Theodoridis   +1 more
exaly   +4 more sources

DSGE priors for BVAR models [PDF]

Empirical Economics, 2014
Similar to Ingram and Whiteman (J Monet Econ 34:497–510, 1994), De Jong et al. (in: Proceedings of the American Statistical Association Bayesian, 1993) and Negro and Schorfheide (Int Econ Rev 45:643–673, 2004) , this study proposes a methodology of constructing dynamic stochastic general equilibrium (DSGE) consistent prior distributions for Bayesian ...
Filippeli, T, Theodoridis, K
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DSGE Modeling

2015
This chapter discusses how dynamic stochastic general equilibrium (DSGE) models are now widely used by academics to conduct empirical research macroeconomics, as well as by central banks to interpret the current state of the economy, to analyze the impact of changes in monetary or fiscal policy, and to generate predictions for key macroeconomic ...
Edward P. Herbst, Frank Schorfheide
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Assessing DSGE model nonlinearities [PDF]

Journal of Economic Dynamics and Control, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Boragan Aruoba, Luigi Bocola, Frank Schorfheide   +2 more
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The State of DSGE Modeling

2020
Dynamic stochastic general equilibrium (DSGE) modeling can be structured around six key criticisms leveled at the approach. The first is fundamental and common to macroeconomics and microeconomics alike—namely, problems with rationality and expected utility maximization (EUM).
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The Chicago Fed DSGE Model [PDF]

SSRN Electronic Journal, 2012
The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This article describes its specification and estimation, its dynamic characteristics and how it is used to forecast the US economy.
Scott Brave, Jeffrey R. Campbell, Jonas D. M. Fisher, Alejandro Justiniano   +3 more
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