Inflation Measurement with High-Frequency Data

Résumé fourni par la source

The availability of large transaction-level datasets, such as retail scanner data, provides a wealth of information on prices and quantities that national statistical institutes can use to produce more accurate and timely measures of inflation. However, there is no universally accepted method for calculating price indexes using such high-frequency data, reflecting a lack of systematic evidence on the performance of different approaches. We use a dataset covering 178 product categories, comprising all fast-moving consumer goods over eight years, to provide a systematic comparison of the leading bilateral and multilateral index number methods for computing month-to-month inflation.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.