A review of the literature shows that forecasts from DSGE models are not more accurate than either times series models or official forecasts, but neither are they any worse. Further, all three types of forecast failed to predict the recession that started in 2007 and continued to forecast poorly even after the recession was known to have begun. The aim of this paper is to investigate why these results occur by examining the structure of the solution of DSGE models and compare this with pure time series models. The main factor seems to be the dynamic structure of DSGE models. Their backward-looking dynamics gives them a similar forecasting structure to time series models and their forward-looking dynamics, which consists of expected values o...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
Abstract: Recent work has analyzed the forecasting performance of standard dynamic stochastic genera...
A review of the literature shows that forecasts from DSGE models are not more accurate than either t...
A review of the literature shows that forecasts from DSGE models are not more accurate than either t...
DSGE models are a prominent tool for forecasting at central banks and the competitive forecasting pe...
DSGE models are a prominent tool for forecasting at central banks and the competitive forecasting pe...
ABSTRACT Dynamic stochastic general equilibrium (DSGE) models are a prominent tool for forecasting a...
During the past two decades, dynamic stochastic general equilibrium (DSGE) models have taken center ...
Recently, it has been suggested that macroeconomic forecasts from esti-mated DSGE models tend to be ...
The global financial crisis has sparked renewed debate over the state of macroeconomic modeling, p...
Abstract: The workhorse DSGE model used for monetary policy evaluation is designed to capture busine...
This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) m...
This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) m...
Recently, it has been suggested that macroeconomic forecasts from estimated dynamic stochastic gener...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
Abstract: Recent work has analyzed the forecasting performance of standard dynamic stochastic genera...
A review of the literature shows that forecasts from DSGE models are not more accurate than either t...
A review of the literature shows that forecasts from DSGE models are not more accurate than either t...
DSGE models are a prominent tool for forecasting at central banks and the competitive forecasting pe...
DSGE models are a prominent tool for forecasting at central banks and the competitive forecasting pe...
ABSTRACT Dynamic stochastic general equilibrium (DSGE) models are a prominent tool for forecasting a...
During the past two decades, dynamic stochastic general equilibrium (DSGE) models have taken center ...
Recently, it has been suggested that macroeconomic forecasts from esti-mated DSGE models tend to be ...
The global financial crisis has sparked renewed debate over the state of macroeconomic modeling, p...
Abstract: The workhorse DSGE model used for monetary policy evaluation is designed to capture busine...
This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) m...
This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) m...
Recently, it has been suggested that macroeconomic forecasts from estimated dynamic stochastic gener...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflatio...
Abstract: Recent work has analyzed the forecasting performance of standard dynamic stochastic genera...