Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions

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Title: Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions
Authors: Cardani, Roberta
Paccagnini, Alessia
Villa, Stefania
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Date: Oct-2015
Abstract: This paper examines whether the presence of parameter instabilities in dynamic stochastic general equilibrium (DSGE) models affects their forecasting performance. We apply this analysis to medium-scale DSGE models with and without financial frictions for the US economy. Over the forecast period 2001-2013, the models augmented with financial frictions lead to an improvement in forecasts for inflation and the short term interest rate, while for GDP growth rate the performance depends on the horizon/period. We interpret this finding taking into account parameters instabilities. Fluctuation test shows that models with financial frictions outperform in forecasting inflation but not the GDP growth rate.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Working Paper
Publisher: University College Dublin. School of Economics
Start page: 1
End page: 50
Series/Report no.: UCD Centre for Economic Research Working Paper Series; WP2015/23
Copyright (published version): 2015 the authors
Keywords: Bayesian estimationForecastingFinancial frictionsParameter instabilities
Language: en
Status of Item: Not peer reviewed 2015-11-17T15:14:11Z
Appears in Collections:Economics Working Papers & Policy Papers

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