Ita-Coin: A New Coincident Indicator for the Italian Economy

31 Pages Posted: 6 Mar 2014

Date Written: October 25, 2013

Abstract

In this paper we present a coincident indicator for the Italian economy, Ita-coin. We construct a multivariate filter based on a broad information set, whose dimension is reduced by the Generalized Dynamic Factor Model (GDFM) approach proposed by Forni et al. (2002). A regression based on the least absolute shrinkage and selection operator (LASSO) is used to estimate Ita-coin. Most Italian macroeconomic indicators are characterized by high short-term volatility and the 2008-2009 crisis has affected the volatility of both the high- and low-frequency components and the relationships between the variables have become more unstable. LASSO regression allows us to select recursively the relevant information about the comovement of the variables over time. Our indicator displays a satisfactory performance in the pseudo real-time validation as a timely cyclical indicator.

Keywords: factor analysis, frequency-domain, LASSO regression, business cycle

JEL Classification: C5, E1

Suggested Citation

Aprigliano, Valentina and Bencivelli, Lorenzo, Ita-Coin: A New Coincident Indicator for the Italian Economy (October 25, 2013). Bank of Italy Temi di Discussione (Working Paper) No. 935, Available at SSRN: https://ssrn.com/abstract=2405416 or http://dx.doi.org/10.2139/ssrn.2405416

Valentina Aprigliano (Contact Author)

Bank of Italy ( email )

Via Nazionale 91
Rome, 00184
Italy

Lorenzo Bencivelli

Bank of Italy ( email )

Via Nazionale 91
Rome, 00184
Italy

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