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Understanding a pandemic: The power of administrative data (2021)
Book Chapter
Waind, E., Ritchie, F., Bailey, N., Caskie, P., Morrison-Rees, S., Lowe, S., & Webster, N. (2021). Understanding a pandemic: The power of administrative data. In Productivity and the Pandemic. Edward Elgar Publishing

This chapter is taken from the book Productivity and the Pandemic. It suggests how administrative data is essential to understanding what is happening now, and what happpens next.

Financial resilience, income dependence and organisational survival in UK charities (2021)
Journal Article
Green, E., Ritchie, F., Bradley, P., & Parry, G. (in press). Financial resilience, income dependence and organisational survival in UK charities. Voluntas: International Journal of Voluntary and Nonprofit Organizations, https://doi.org/10.1007/s11266-020-00311-9

The financial well-being of the charity sector has important social implications. Numerous studies have analysed whether the concentration of income in a few sources increases financial vulnerability. However, few studies have systematically consider... Read More about Financial resilience, income dependence and organisational survival in UK charities.

Using ASHE to examine trends in low pay: Initial exploration of the data (2020)
Report
Bryson, A., Phan, V., Stokes, L., Ritchie, F., Forth, J., McKenzie, A., & Whittard, D. (in press). Using ASHE to examine trends in low pay: Initial exploration of the data. Bristol: Low Pay Commission

Using the Annual Survey of Hours and Earnings (ASHE) 2004-2019 we report consistent time-series estimates of the percentage of jobs on and around the minimum wage; low paid jobs above the minimum; and ‘high paid’ jobs. In doing so we report on some i... Read More about Using ASHE to examine trends in low pay: Initial exploration of the data.

Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control (2020)
Journal Article
Alves, K., & Ritchie, F. (2020). Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control. Statistical Journal of the IAOS, 36(4), 1281-1293. https://doi.org/10.3233/SJI-200661

Statistical agencies and other government bodies increasingly use secure remote research facilities to provide access to sensitive data for research and analysis by internal staff and third parties. Such facilities depend on human intervention to ens... Read More about Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control.