UK Time Use Surveys: A Review

Aisha Chabdu, Chujan Sivathasan, Curtis Jessop, D’Ardenne, Jo, Marta Mezzanzanica, Olivia Sexton and Sierra Mesplie-Cowan

Technical Reports from Economic Statistics Centre of Excellence

Abstract: In recent years, two time use surveys using online diary tools have been developed and used in the UK. These are: ‘ELiDDI’ developed by the Centre for Time Use Research (CTUR) based at University College London, and ‘OTUS’ developed by the Office for National Statistics (ONS). Both these tools provide a novel and representative perspective on society and economic activity in the UK in a manner that reduces the costs, data collection time and respondent burden relative to historical approaches. The Economic Statistics Centre of Excellence (ESCoE) have brought together both the teams at CTUR and ONS – along with a diverse group of experts including survey providers and stakeholders – with the aim of establishing a unified and comprehensive data collection tool. This tool aims to gather high-quality, comparable data while prioritizing the following objectives: • maintaining and improving the existing time series. • ensuring representativeness. • enhancing accessibility and promoting inclusivity. • encompassing data needs for a broad audience of data users and researchers. Between November 2023 and March 2024 various streams of work – including a review of the tools and the fieldwork design, stakeholders’ workshop and time use data quality analysis – were undertaken to review the latest versions of the ELiDDI and OTUS tools to ensure that they are collecting the best possible quality data and meeting the range of economic measurement needs. By presenting the findings of the review of the current tools and survey fieldwork design, this report aims at informing decision-making and guiding future developments in the field of time use surveys. However, to develop an optimal survey design that meets the needs of users and stakeholders while maximising the utility and reliability of the collected data, it is essential to consider these findings alongside the other streams of work.

Keywords: time use survey; online diary data collection; respondent burden; economic statistics; beyond GDP (search for similar items in EconPapers)
JEL-codes: C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024-04-04
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