Book contents
- Frontmatter
- Dedication
- Contents
- List of figures and tables
- Acknowledgements
- one Introduction: reconstructing retirement
- Part One The reconstruction of retirement policy
- Part Two Reconstructing employment and retirement behaviour
- Part Three Current paths and policy alternatives
- Statistical appendix
- References
- Index
Statistical appendix
Published online by Cambridge University Press: 05 April 2022
- Frontmatter
- Dedication
- Contents
- List of figures and tables
- Acknowledgements
- one Introduction: reconstructing retirement
- Part One The reconstruction of retirement policy
- Part Two Reconstructing employment and retirement behaviour
- Part Three Current paths and policy alternatives
- Statistical appendix
- References
- Index
Summary
Data in Chapter Two: the UK Labour Force Survey and US Current Population Survey
In Chapter Two, we present data on the incomes of people over 65 in the UK and US from an analysis by the author of the UK Labour Force Survey and the US Current Population Survey (see Figures 5.2 and 5.3). The surveys were selected because of their detailed information about the incomes of older people. The surveys analysed were harmonised by the author as part of his earlier PhD research (see Lain, 2009). The author replicated the variables used in the Luxembourg Income Study (LIS) in order to ensure that they were comparable across countries (for more on the LIS, see Atkinson, 2004). These variables were then adapted slightly to ensure that the full range of means-tested benefits were categorised as such (see Lain, 2009).
Data in Part Two: the English Longitudinal Study of Ageing and the US Health and Retirement Study
In Part Two of the book (Chapters Four to Six), the English Longitudinal Study of Ageing (ELSA) and the US Health and Retirement Study (HRS) were analysed. These surveys interview people in their 50s upwards, alongside their partners, on a biannual basis. ELSA was designed in conjunction with those working on HRS, and consequently the surveys have a high degree of comparability in terms of the variables constructed (see Banks et al, 2006). We used comparable data files created by the RAND organisation (for the HRS data) and the Gateway to Global Aging Data (for ELSA) (see Phillips et al, 2014; Chien et al, 2014). Please see the acknowledgements section for more details on the parters involved in creating and funding the data.
The analysis in Part Two focuses primarily on those aged 65–74, although the survey year analysed varies slightly depending upon what is most appropriate. In Chapter Four, we examine the pathways that people take to employment at 65+ and focus on those aged 65–74 in 2012. For that chapter, we also draw on data for these individuals going back to 2002, the year that ELSA started. In Chapters Five and Six, most of the analysis examines those aged 65–74 in 2010; this is because we have a more complete selection of variables related to wealth and financial position in 2010 (Phillips et al, 2014).
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- Reconstructing RetirementWork and Welfare in the UK and USA, pp. 179 - 182Publisher: Bristol University PressPrint publication year: 2016