This paper presents ideas and methods underlying the construction of an indicator that tracks the euroarea GDP growth, but, unlike GDP growth, (i) is updated monthly and almost in real time; (ii) is free from short-run dynamics. Removal of short-run dynamics from a time series, to isolate the mediumlong-run component, can be obtained by a band-pass filter. However, it is well known that band-pass filters, being two-sided, perform very poorly at the end of the sample. New Eurocoin is an estimator of the medium- long-run component of the GDP that only uses contemporaneous values of a large panel of macroeconomic time series, so that no end-of-sample deterioration occurs. Moreover, as our dataset is monthly, New Eurocoin can be updated each month and with a very short delay. Our method is based on generalized principal components that are designed to use leading variables in the dataset as proxies for future values of the GDP growth. As the medium- long-run component of the GDP is observable, although with delay, the performance of New Eurocoin at the end of the sample can be measured.
New Eurocoin: Tracking Economic Growth in Real Time / Altissimo, F; Cristadoro, R; Forni, Mario; Lippi, M; Veronese, G.. - In: THE REVIEW OF ECONOMICS AND STATISTICS. - ISSN 0034-6535. - STAMPA. - 92:4(2010), pp. 1024-1034. [10.1162/REST_a_00045]
New Eurocoin: Tracking Economic Growth in Real Time
FORNI, Mario;
2010
Abstract
This paper presents ideas and methods underlying the construction of an indicator that tracks the euroarea GDP growth, but, unlike GDP growth, (i) is updated monthly and almost in real time; (ii) is free from short-run dynamics. Removal of short-run dynamics from a time series, to isolate the mediumlong-run component, can be obtained by a band-pass filter. However, it is well known that band-pass filters, being two-sided, perform very poorly at the end of the sample. New Eurocoin is an estimator of the medium- long-run component of the GDP that only uses contemporaneous values of a large panel of macroeconomic time series, so that no end-of-sample deterioration occurs. Moreover, as our dataset is monthly, New Eurocoin can be updated each month and with a very short delay. Our method is based on generalized principal components that are designed to use leading variables in the dataset as proxies for future values of the GDP growth. As the medium- long-run component of the GDP is observable, although with delay, the performance of New Eurocoin at the end of the sample can be measured.File | Dimensione | Formato | |
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