198 - Models for X-11 and 'X-11-Forecast' Procedures for Preliminary and Revised Seasonal Adjustments
K.F. Wallis
Procedures for the seasonal adjustment of economic time series have typically been evaluated by studying their effect on a sample of actual time series. Recent proposals for amendments and extensions to existing methods have also been evaluated in the same way. Perhaps this approach is thought to be inevitable given that "there seems to be no ideal process of evaluating a method of adjustment" (Granger, 1978, p.55). In contrast, however, this paper continues a line of research in which the properties of the procedures themselves are studied, in the abstract. It is hoped that this will improve our general understanding of the performance of the existing methods and their extensions, and help to explain the results of the previous empirical studies. The particular procedure considered is the U.S. Bureau of the Census Method Variant X-11 (Shiskin et al., 1967), which is widely used and is generally held to give satisfactory results in the seasonal adjustment of historical data. Our analysis proceeds by linear filter methods. The basic framework of a set of "time-varying" linear filters is presented by Wallis (1982), and further properties of these filters and their components are considered in the present paper. The use of linear methods implies that attention is restricted to the performance of X-11 in additive mode (in which seasonal components are estimated as average differences from, not average ratios to, the trend-cycle), neglecting the option of graduating extreme irregular values.