Utilizing big data and multilateral index methods to produce the Australian CPI: Theory, implementation and empirical results

Article type: Research Article

Authors: van Kints, Marcel^a | de Haan, Jan^{b; *} | Webster, Michael^c

Affiliations: [a] Statistical Data Integration Division, Australian Bureau of Statistics, Canberra, Australia | [b] Division of Corporate Services, IT and Methodology, Statistics Netherlands, The Hague, The Netherlands | [c] Methodology Division, Australian Bureau of Statistics, Canberra, Australia

Correspondence: [*] Corresponding author: Jan de Haan, Division of Corporate Services, IT and Methodology, Statistics Netherlands, Henri Faasdreef 312, 2492 JP, The Hague, The Netherlands. E-mail: j.dehaan@cbs.nl.

Abstract: This paper discusses the opportunities and challenges presented when utilizing scanner data to compile the CPI, with a focus on implementation guidance to national statistical offices. Empirical results for the Australian CPI are examined following the implementation of a multilateral price index method in December quarter 2017.

Keywords: Index number theory, multilateral methods, scanner data

DOI: 10.3233/SJI-180469

Journal: Statistical Journal of the IAOS, vol. 35, no. 3, pp. 387-405, 2019