Trends and cycles in real-time

Author	dc.contributor.author	Chumacero Escudero, Rómulo
Author	dc.contributor.author	Gallego, Francisco A.	es_CL
Admission date	dc.date.accessioned	2010-11-24T12:07:53Z
Available date	dc.date.available	2010-11-24T12:07:53Z
Publication date	dc.date.issued	2002-12
Cita de ítem	dc.identifier.citation	Estudios de economía. Vol.29 No. 2 Diciembre 2002 Pags. 211-229	en_US
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/127807
Abstract	dc.description.abstract	This paper compares the results of applying several detrending methods to the Chilean monthly economic activity index (IMACEC) using real-time data sets. We show that data revisions are extremely important and that they can lead to systematically inconsistent estimates of the trend component. Furthermore, most of the filters commonly used to detrend time series in practice, are highly unstable and unreliable for end-of-sample estimation.	en_US
Lenguage	dc.language.iso	en	en_US
Publisher	dc.publisher	Universidad de Chile. Facultad de Economía y Negocios	en_US
Keywords	dc.subject	Real-Time Data	en_US
Título	dc.title	Trends and cycles in real-time	en_US
Document type	dc.type	Artículo de revista