No data on self-employed workers
Posted: Thu Feb 06, 2025 8:47 am
Having identified the size and extent of the problem government and employers should consider steps that could be taken to ameliorate the problems women face in their working lives due to the menopause.
Acknowledgements
We are grateful to the 1958 study members for belarus rcs data generously giving their time over many years. We thank the Health Foundation (grant no. 546608) for funding and participants at the Centre for Longitudinal Studies seminar for comments on an earlier version of this paper. We thank the Economic and Social Research Council for access to the data.
Family Resources Survey (FRS) Provides data on self-employment circumstances. Derives hourly wages from weekly income and hours worked, which leads to overestimation of number of workers earning below Living Wage.
Annual Survey of Hours and Earnings (ASHE) Accurate hourly pay data based on employer PAYE figures. Less detailed information on employee characteristics.
To draw on the strengths of all three datasets, and avoid potential duplication and derivation issues, the LWF adopted a hybrid model, using the LFS to evaluate employees and the FRS to evaluate self-employed workers. They developed a re-weighting methodology that pegged LFS data to ASHE, so they could retain the breadth of employee variables without compromising on the accuracy of hourly pay figures.
Acknowledgements
We are grateful to the 1958 study members for belarus rcs data generously giving their time over many years. We thank the Health Foundation (grant no. 546608) for funding and participants at the Centre for Longitudinal Studies seminar for comments on an earlier version of this paper. We thank the Economic and Social Research Council for access to the data.
Family Resources Survey (FRS) Provides data on self-employment circumstances. Derives hourly wages from weekly income and hours worked, which leads to overestimation of number of workers earning below Living Wage.
Annual Survey of Hours and Earnings (ASHE) Accurate hourly pay data based on employer PAYE figures. Less detailed information on employee characteristics.
To draw on the strengths of all three datasets, and avoid potential duplication and derivation issues, the LWF adopted a hybrid model, using the LFS to evaluate employees and the FRS to evaluate self-employed workers. They developed a re-weighting methodology that pegged LFS data to ASHE, so they could retain the breadth of employee variables without compromising on the accuracy of hourly pay figures.