Abstract

Producing official measures of inflation is a core function of national statistical systems, yet much of the international literature and guidance implicitly assumes the resources, scale, and institutional separation typical of larger jurisdictions. This session presents a case study of the Retail Prices Index (RPI) for Jersey, a small island economy of approximately 100,000 residents, measuring around 9 miles by 5 miles, and explores how inflation measurement is designed, delivered, and modernised under conditions of limited scale.

The Jersey RPI is compiled and published quarterly rather than monthly, reflecting both resource constraints and the structure of the local economy. Price collection is undertaken over a concentrated two-week period each quarter by a small team of temporary fieldworkers, supplemented by direct collection carried out by the responsible analyst. Unlike larger statistical offices where responsibilities are distributed across specialist teams, the end-to-end production of the RPI in Jersey is overseen by a single analyst. That analyst’s role includes maintaining the basket of goods and services; managing and training fieldworkers; validating and cleaning the price data received; investigating outliers and other unusual prices; calculating the index; and finally drafting, publishing and communicating the results.

This model of working offers advantages in terms of coherence, continuity, and perhaps most importantly, deep familiarity with the data and local market conditions. However, it also presents operational challenges, particularly in relation to resilience, workload concentration, and the need to balance business as usual activities with maintaining up to date methods and practices.

There are also specific challenges in a small island context where retail choice is often limited, and monopoly or near-monopoly providers exist in certain sectors such as electricity, water, and other utilities. The session will discuss how these structural features influence representativity, volatility, and the interpretation of inflation measures, and how they are addressed within the RPI framework.

Another challenge with historically limited resources is a limited amount of development resources being available to update methods and processes. This session will also cover more recent developments aimed at improving the Jersey RPI processes. These aim to make it more sustainable and improve quality. They include the introduction of a bespoke mobile “app” for our price collectors, moving away from a reliance on paper-based processes and manual data entry, as well as a transition from spreadsheet-driven workflows to a structured database environment.

By highlighting the realities of inflation measurement in a small island jurisdiction, this session provides practical insights into how official price statistics can be produced and modernised under tight resource constraints, and how international best practice can be adapted to fit local circumstances rather than applied wholesale.