What is it about?

Most seasonal adjustment methods can apply to only quarterly or monthly data. This paper shows how to apply to daily data with weekly periodicity by modifying the subprogram of X-13, which is one of the major seasonal adjustment methods.

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Why is it important?

In this paper, I extend the scope of the seasonal adjustment method, previously limited to monthly or quarterly data, to daily data with weekly periodicity.

Perspectives

Reflecting the improvement of computer capabilities and the spread of ICT services, high-frequency data is beginning to be used as one type of big data. A key issue in utilizing high frequency data is to deal with time-series characteristics such as the weekly periodicity. I believe the method in this paper is expected to be a viable method for addressing the issues to deal with time-series characteristics of high-frequency data such as the weekly periodicity.

Tetsuma ARITA
Bank of Japan

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This page is a summary of: Assessment of the spread of COVID-19 in seven countries using a seasonal adjustment method, Statistical Journal of the IAOS, June 2022, IOS Press, DOI: 10.3233/sji-220932.
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