A new methodology for a quarterly measure of the output gap
This paper presents a new mixed frequency methodology to estimate output gaps and potential output on a quarterly basis. The methodology strongly relies on the production function method commonly agreed at the European level (D'Auria et.al.,2010) but it significantly improves it allowing to assess the impact of real time forecast for GDP and other underlying variables. This feature of the model is particularly welcome in the current Italian budgetary framework which has foreseen the introduction of the principle of a budget balance in structural terms in the Constitution. By allowing to measure output gap with a quarterly span on the basis of recent developments indicators, the methodology provides interesting hints on the cyclical position of the economy in real time to be used for deriving cyclically-adjusted fiscal aggregates.
|Date of creation:||Aug 2013|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.dt.tesoro.it|
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tommaso Proietti & Filippo Moauro, 2006.
"Dynamic factor analysis with non-linear temporal aggregation constraints,"
Journal of the Royal Statistical Society Series C,
Royal Statistical Society, vol. 55(2), pages 281-300.
- Tommaso Proietti & Filippo Moauro, 2004. "Dynamic Factor Analysis with Nonlinear Temporal Aggregation Constraints," Econometrics 0401003, EconWPA.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2010.
"Survey data as coincident or leading indicators,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 29(1-2), pages 109-131.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2009. "Survey Data as Coicident or Leading Indicators," Economics Working Papers ECO2009/19, European University Institute.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, . "Survey Data as Coincident or Leading Indicators," Working Papers 3, Department of the Treasury, Ministry of the Economy and of Finance.
- Tommaso Proietti, 2004.
"Temporal Disaggregation by State Space Methods: Dynamic Regression Methods Revisited,"
- Tommaso Proietti, 2006. "Temporal disaggregation by state space methods: Dynamic regression methods revisited," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 357-372, November.
- Tommaso Proietti & Cecilia Frale, 2011.
"New proposals for the quantification of qualitative survey data,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 30(4), pages 393-408, July.
- Tommaso Proietti & Cecilia Frale, 2007. "New proposals for the quantification of qualitative survey data," CEIS Research Paper 98, Tor Vergata University, CEIS.
- Francesca D'Auria & CÃ©cile Denis & Karel Havik & Kieran Mc Morrow & Christophe Planas & Rafal Raciborski & Werner Roger & Alessandro Rossi, 2010. "The production function methodology for calculating potential growth rates and output gaps," European Economy - Economic Papers 2008 - 2015 420, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Tommaso Proietti, 2004. "On the Estimation of Nonlinearly Aggregated Mixed Models," Econometrics 0411012, EconWPA.
- Andrew Harvey & Chia-Hui Chung, 2000. "Estimating the underlying change in unemployment in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 303-309.
- Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2011. "EUROMIND: a monthly indicator of the euro area economic conditions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 439-470, 04.
When requesting a correction, please mention this item's handle: RePEc:itt:wpaper:wp2013-6. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michele Petrocelli)
If references are entirely missing, you can add them using this form.