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Improving Stylised Working Time Estimates with Time Diary Data: A Multi Study Assessment for the UK
Pierre Walthery1, Jonathan Gershuny1
1Centre for Time Use Research, Department of Sociology, University of Oxford, 5 Manor Road, Oxford, OX1 3UQ United Kingdom.
Social Indicators Research
|July 23, 2019
Summary
Working time estimates from surveys can be unreliable, especially for atypical workers. This study improves accuracy by using time-use data to adjust survey figures, enhancing economic forecasting tools.
Area of Science:
- Economics
- Sociology
- Statistics
Background:
- Accurate working time estimates are crucial for economic forecasting and policy.
- Measurement errors in surveys can impact the reliability of working time data, particularly for subgroups like part-time or atypical workers.
- Self-assessed (stylised) working time estimates may differ significantly from more truthful time diary recordings.
Purpose of the Study:
- To investigate the reliability of paid weekly working-time measurement instruments in the UK Labour Force Survey.
- To compare stylised estimates with time diary data.
- To explore methods for improving stylised estimates in surveys lacking time diary data, by contrasting 'usual' and 'actual' hours.
Main Methods:
- Utilizing calibration weights derived from the Work Schedule in the 2000 and 2015 UK Time Use Surveys.
- Applying statistical matching to up/down scale stylised estimates in the 2000 and 2015 UK Labour Force Survey.
- Comparing estimates from self-assessed instruments with those from time diaries.
Main Results:
- Discrepancies exist between stylised and time diary estimates of working hours.
- Calibration weights derived from time use data can adjust stylised estimates.
- Statistical matching techniques show potential for improving measurement accuracy in large-scale social surveys.
Conclusions:
- Working time estimates in surveys like the Labour Force Survey may contain significant measurement errors.
- Adjusting stylised estimates using time diary data and statistical matching can improve reliability.
- These cost-effective techniques offer a pathway to enhance the quality of working time data for policy and research.
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