References: View references in EconPapers View complete reference list from CitEcĬitations: View citations in EconPapers (11) Track citations by RSS feed A direct access point to most frequently requested data. JEL-codes: C32 C51 C52 E60 (search for similar items in EconPapers) di statistics (Istat), Creative Commons Attribution 3.0 (CC-BY 3.0). To this end, we (i) reviewed existing indicators of gender equality (ii) assessed the contribution of the indicators most frequently used in previous research to measure gender equality (iii) developed an extended, regional version of the gender gaps index (eRGGI), by extending it to include new indicators able to capture female empowerment in. Keywords: macroeconometric models econometric forecasts theory-first vs data-first models model specification fiscal policy multipliers (search for similar items in EconPapers) 2013 the Government of Canada (Open Government Licence Canada) The National. It also presents an assessment of model’s performance by focusing on the key multipliers They also recall those data published by the Italian Institute of Statistics (Istat, 2013), which provides more correct and clearer analysis than Ianes et al. The paper describes the theoretical foundations of the model along with the set of equations and their estimation. The key model’s features are illustrated and compared with other modeling approaches used in the literature. This is the tool used by Istat to produce bi-annual medium-term forecasts of the Italian economy since May 2012. This paper provides a description of Istat’s new Macroeconometric Model MeMo-It. inflation rate 3.0 in 2012 (Istat, 2014) and in 2014 the debt to GDP ratio was 132.1, compared to 91.9 in the euro area and 86.8 for the EU28 (Eurostat, April 2015). Road Safety Programme, European Commission, Brussels. Google Scholar CARE (2012) European centralised database on road accidents which result in death or injury across the EU. Rivista di statistica ufficiale, 2013, vol. Istat (2013) Incidenti stradali in Italia.
Piero Crivelli: Istat, Econometric Studies and Economic Forecasting DivisionĬarmine Pappalardo: Istat, Econometric Studies and Economic Forecasting Divisionĭaniela Rossi: Istat, Econometric Studies and Economic Forecasting Division Building the core of the Istat system of models for forecasting the Italian economy: MeMo-ItĬristina Brandimarte: Istat, Econometric Studies and Economic Forecasting Division
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