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1. 5. Experimental methods and seasonal adjustment.

Author

Arend, Tom, Botev, Jarmila, Guidetti, Emmanuelle, Mourougane, Annabelle, and Park, Minsu

Subjects
ECONOMIC seasonal variations, CONSUMER price indexes, ECONOMIC statistics, ARTIFICIAL neural networks, MACHINE learning
Abstract

The article explores seasonal adjustment methods for consumer price indexes (CPI). It discusses the use of an X-12/X-13 method and standard econometric tests by national statistical offices (NSO). It examines the use of machine learning, particularly neural networks, in improving seasonal adjustment of CPI.

Published
2024
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