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Activity Number: 129
Type: Topic Contributed
Date/Time: Monday, August 3, 2009 : 8:30 AM to 10:20 AM
Sponsor: Business and Economic Statistics Section
Abstract - #304110
Title: X-12-ARIMA vs. PROC X12: The UK Experience
Author(s): Gary Brown*+ and Emma Hooper and David Rose
Companies: Office for National Statistics and Office for National Statistics and SAS Institute Inc.
Address: Cardiff Road, Newport, NP10 8XG, United Kingdom
Keywords:
Abstract:

The UK Office for National Statistics (ONS) is undertaking modernization of it's corporate software with the aim of streamlining output production. The default corporate tool will be SAS, and each alternative software package in use is being compared to this benchmark. In the case of seasonal adjustment, the recommended tool for ONS is X-12-ARIMA. However, there are data transfer issues between the Oracle-based corporate production system and X-12-ARIMA, which don't exist with SAS. This paper addresses the remaining issue: does PROC X12 in SAS, whilst speeding up the production process, still perform time series analysis (seasonal adjustment, benchmarking, etc) of ONS series to the same quality standards as X-12-ARIMA?

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