caa a22 4500 37892981X CHVBK 20180305123626.0 cr unu---uuuuu 161128e20040518xx s 000 0 eng 10.2202/1558-3708.1206 doi (NATIONALLICENCE)gruyter-10.2202/1558-3708.1206 Cleveland William P. 1Federal Reserve Board,Washington D.C., wcleveland@frb.gov Stability and Consistency of Seasonally Adjusted Aggregates and Their Component Patterns [Elektronische Daten] [William P. Cleveland] In situations where groups of economic time series are likely to have seasonal dynamics in common, use of seasonal information across series in estimating their seasonal factors should improve the seasonal factor estimates for individual series. Such information sharing can also be the basis for consistent seasonal adjustment of combinations of series. It also provides information about dominant seasonal patterns in component series. A methodology based on principal component analysis, developed earlier by the author with Eric Bartelsman, is applied to series of price indexes and production indexes from EU countries. Evidence of common structure is revealed. The implications of common estimation of seasonal factors are explored. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Studies in Nonlinear Dynamics & Econometrics De Gruyter 8/2(2004-05-18) 8:2 2004 8 snde https://doi.org/10.2202/1558-3708.1206 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1558-3708.1206 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Cleveland William P. 1Federal Reserve Board,Washington D.C., wcleveland@frb.gov NATIONALLICENCE 773 0- Studies in Nonlinear Dynamics & Econometrics De Gruyter 8/2(2004-05-18) 8:2 2004 8 snde CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter