An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment

نویسنده

  • Agustín Maravall
چکیده

The ARIMA-model-based methodology of programs TRAMO and SEATS for seasonal adjustment and trend-cycle estimation was applied to the exports, imports, and balance of trade Japanese series in Maravall (2002). The programs were used in an automatic mode, and the results analyzed. The present paper contains an extension of the work. First, some improvements in the automatic modelling procedure are illustrated, and the models for the seasonally adjusted series and its trend-cycle component are discussed (in particular, their order of integration). It is further shown how the SEATS output can be of help in model selection. Finally, the important problem of the choice between direct and indirect adjustment of an aggregate is addressed. It is concluded that, because aggregation has a strong effect on the spectral shape of the series, and because seasonal adjustment is a non-linear transformation of the original series, direct adjustment is preferable, even at the cost of destroying identities between the original series.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

AN APLICATION OF TRAMO-SEATS: AUTOMATIC PROCEDURE AND SECTORAL AGGREGATION The Japanese Foreing Trade Series

Programs TRAMO and SEATS, that contain an ARIMA-model-based methodology, are applied for seasonal adjustment and trend-cycle estimation of the exports, imports, and balance of trade Japanese series. The programs are used in an automatic mode, and the results are found satisfactory. It is shown how the SEATS output can be used to discriminate among competing models. Finally, using the balance of...

متن کامل

Large Scale Applied Time Series Analysis with Program TSW (TRAMO-SEATS for Windows)

The demostration will center on the application of program TSW to a large set of monthly time series. TSW is a Windows interface of updated versions of programs TRAMO (Time series Regression with Arima noise, Missing values, and Outliers) and SEATS (Signal Extraction in ARIMA Time Series). The program estimates a general regression-ARIMA model, and computes forecasts and interpolators for possi...

متن کامل

The Quality of Seasonal Adjustment: An Empirical Comparison of Various Seasonal Adjustment Methods

Abstract Using two basic assumptions of time series analysis, a test is proposed to assess the quality of seasonal adjustment of a series. The test is applied to several seasonally adjusted series of the Consumer Price Index (CPI) using three methods of seasonal adjustment: State Space Model Based Method (SSMB), TRAMO SEATS Method and X12ARIMA method. The empirical results are presented along w...

متن کامل

Comparison of Time Series Characteristics for Seasonal Adjustments from SEATS and X-12-ARIMA

Two widely-used seasonal adjustment programs are the U.S. Census Bureau's X-12-ARIMA and the SEATS program for ARIMA-model-based signal extraction written by Agustin Maravall. In previous studies with SEATS and X-12-ARIMA, we found some series where the adjustment from SEATS had smaller revisions than the adjustment from X-12-ARIMA (Hood, Ashley, and Findley, 2000). Based on this previous work,...

متن کامل

Improving the Automatic Regarim a M Odel Selection Procedures of X-12-arim a Version 0.3 When Testing for Easter Effects, given an Arima Model

The U.S. Census Bureau has enhanced the X-12-ARIMA seasonal adjustment program by incorporating an improved automatic regARIMA model (regression model with ARIMA errors) selection procedure. Currently this procedure is available only in test version 0.3 of X-12ARIMA, but it will be released in a future version of the program. It is based on the automatic model selection procedure of TRAMO , an ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 50  شماره 

صفحات  -

تاریخ انتشار 2006