This paper provides a description of Istat’s new Macroeconometric Model MeMo-It. This is the tool used by Istat to produce bi-annual medium-term forecasts of the Italian economy since May 2012. The key model’s features are illustrated and compared with other modeling approaches used in the literature. The paper describes the theoretical foundations of the model along with the set of equations and their estimation. It also presents an assessment of model’s performance by focusing on the key multipliers.

Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It / Bacchini, Fabio; Brandimarte, Cristina; Crivelli, Piero; De Santis, Roberta; Fioramanti, Marco; Girardi, Alessandro; Golinelli, Roberto; Jona Lasinio, Cecilia Susanna; Mancini, Massimo; Pappalardo, Carmine. - In: RIVISTA DI STATISTICA UFFICIALE. - ISSN 1972-4829. - 15:1(2013), pp. 17-45.

Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It

DE SANTIS, ROBERTA;JONA-LASINIO, CECILIA SUSANNA;PAPPALARDO, CARMINE
2013

Abstract

This paper provides a description of Istat’s new Macroeconometric Model MeMo-It. This is the tool used by Istat to produce bi-annual medium-term forecasts of the Italian economy since May 2012. The key model’s features are illustrated and compared with other modeling approaches used in the literature. The paper describes the theoretical foundations of the model along with the set of equations and their estimation. It also presents an assessment of model’s performance by focusing on the key multipliers.
2013
Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It / Bacchini, Fabio; Brandimarte, Cristina; Crivelli, Piero; De Santis, Roberta; Fioramanti, Marco; Girardi, Alessandro; Golinelli, Roberto; Jona Lasinio, Cecilia Susanna; Mancini, Massimo; Pappalardo, Carmine. - In: RIVISTA DI STATISTICA UFFICIALE. - ISSN 1972-4829. - 15:1(2013), pp. 17-45.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/172771
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