This chapter presents an analysis of changing job and pay structures in the UK, constructing for this purpose a novel dataset covering each year from 1975 to 2015 linking different datasets and ensuring that key variables such as occupation are captured on as consistent a basis as possible. This provides the information base required to investigate job polarization in a much more disaggregated fashion than previously possible, allowing important distinctions to be made by gender, sector, and region, between full- versus part-time workers, and across birth-cohorts. The analyses are thus able to reveal the differing implications of long-term trends in job structures and pay for these different groups, and bring out what the varying patterns reveal about the underlying processes at work in the labour market.

(2018). Sifting through the ASHE: Job Polarization and Earnings Inequality in the UK, 1975–2015 . Retrieved from http://hdl.handle.net/10446/135358

Sifting through the ASHE: Job Polarization and Earnings Inequality in the UK, 1975–2015

Cristini, Annalisa;
2018-01-01

Abstract

This chapter presents an analysis of changing job and pay structures in the UK, constructing for this purpose a novel dataset covering each year from 1975 to 2015 linking different datasets and ensuring that key variables such as occupation are captured on as consistent a basis as possible. This provides the information base required to investigate job polarization in a much more disaggregated fashion than previously possible, allowing important distinctions to be made by gender, sector, and region, between full- versus part-time workers, and across birth-cohorts. The analyses are thus able to reveal the differing implications of long-term trends in job structures and pay for these different groups, and bring out what the varying patterns reveal about the underlying processes at work in the labour market.
2018
Cristini, Annalisa; Geraci, Andrea; Muellbauer, John
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/135358
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