A Preliminary Report on A Challenge to Compute Real-time Consumer Price Index in the Framework of Cyber Physical Systems (CPS) Using Large-scale Online Household Record Data

Yumiko KINOSHITA; Reiko GOTOH; Osamu SUDOH

doi:10.14836/jasi.26.0.261.0

Proceedings of the 26th Annual Conference of Japan Association for Social

DOI https://doi.org/10.14836/jasi.26.0.261.0

Conference information

Host: The Japan Association for Social Informatics

A Preliminary Report on A Challenge to Compute Real-time Consumer Price Index in the Framework of Cyber Physical Systems (CPS) Using Large-scale Online Household Record Data

*Yumiko KINOSHITA, Reiko GOTOH, Osamu SUDOH

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Keywords: Cyber Physical System (CPS), Consumer Price Index (CPI), Household bookkeeping record, machine learning, N-gram

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 261-264

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Abstract

This paper is a preliminary report on a challenge to analyze data obtained from online household bookkeeping site. Our research aims to produce core statistics from online data resources, which can be used in various socioeconomic analyses in the context of Cyber Physical System (CPS). In this research, household data of approximately 190 thousand users will be analyzed by using machine learning techniques to compute consumer prices across Japan.

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