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Local trend estimation and seasonal adjustment of economic and social time series (with discussion)

Durbin, J.; Kenny, P.; (1982) Local trend estimation and seasonal adjustment of economic and social time series (with discussion). Journal of the Royal Statistical Society: Series A (Statistics in Society) , 145 (1) pp. 1-41.

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Abstract

The first main purpose of this paper is to compare the performance of a number of methods of estimating local trends levels in a sample of 23 monthly economic and social time series. This is done for cases where data are available up to 0,1,2,...,6 months respectively beyond the time point for which the trend estimate is required. The paper's second main purpose is to investigate methods of improving the performance of the X-11 seasonal adjustment procedure. The treatment given to these problems is pragmatic and empirical rather than theoretical. The paper concludes by recommending the following simple unified procedure for both trend estimation and seasonal adjustment. Each time a new observation becomes available, forecast the next 12 monthly values of the series concerned by stepwise autoregression or some other appropriate method. Apply standard X-11 seasonal adjustment to the observed series augmented by the 12 forecast values. The trend and seasonally adjusted values given by the X-11 printout for the present and previous time points are the values required. It is shown that this simple procedure has a very satisfactory overall performance.

Type: Article
Title: Local trend estimation and seasonal adjustment of economic and social time series (with discussion)
Publisher version: http://www.rss.org.uk/main.asp?page=1711
Language: English
Keywords: Trend, seasonal adjustment, X-11-Arima, box-Jenkins forecasting, stepwise autoregression
UCL classification: UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Dept of Economics
URI: http://discovery.ucl.ac.uk/id/eprint/18481
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