A shock of interest can be recovered, either exactly or with a good approximation, by means of standard VAR techniques even when the structural MA representation is non- invertible. We propose a measure of how informative a VAR model is for a specific shock of interest. We show how to use such a measure for the validation of shocks' transmission mechanism of DSGE models through VARs. In an application, we validate a theory of news shocks. The theory does fairly well for all variables, but understates the long-run effects of technology news on TFP.
VAR Information and the Empirical Validation of DSGE Models / Forni, Mario; Gambetti, Luca; Sala, Luca. - In: CENTRE FOR ECONOMIC POLICY RESEARCH DISCUSSION PAPERS. - ISSN 1442-8636. - (2016), pp. 1-43.
Data di pubblicazione: | 2016 |
Titolo: | VAR Information and the Empirical Validation of DSGE Models |
Autore/i: | Forni, Mario; Gambetti, Luca; Sala, Luca |
Autore/i UNIMORE: | |
Rivista: | |
Pagina iniziale: | 1 |
Pagina finale: | 43 |
Citazione: | VAR Information and the Empirical Validation of DSGE Models / Forni, Mario; Gambetti, Luca; Sala, Luca. - In: CENTRE FOR ECONOMIC POLICY RESEARCH DISCUSSION PAPERS. - ISSN 1442-8636. - (2016), pp. 1-43. |
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