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Data in SocietyChallenging Statistics in an Age of Globalisation$
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Jeff Evans, Sally Ruane, and Humphrey Southall

Print publication date: 2019

Print ISBN-13: 9781447348214

Published to Policy Press Scholarship Online: May 2020

DOI: 10.1332/policypress/9781447348214.001.0001

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PRINTED FROM POLICY PRESS SCHOLARSHIP ONLINE (www.policypress.universitypressscholarship.com). (c) Copyright Policy Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PPSO for personal use.date: 07 July 2022

Labour market statistics

Labour market statistics

(p.199) 15 Labour market statistics
Data in Society

Paul Bivand

Policy Press

The chapter begins by identifying the theoretical roots of labour market concepts, notably the Phillips Curve relating unemployment and inflation. It then presents the definitions of “employment” and “unemployment” developed by the International Labour Organisation. These are measured by the quarterly Labour Force Survey, which provides not just simple counts but also flows between these categories, here presented graphically. One problem is that localised unemployment data use different definitions from the national headline rate, but a larger problem is that in all measures individuals must be counted as either employed or unemployed, when increasing numbers of workers work fewer or more hours than they wish, sometimes on variable hours contracts or as insecure sub-contractors in the “gig economy”. These new forms of work, generally disadvantaged, make gathering reliable data harder, and the chapter ends by discussing earnings data, and measuring the impact of minimum wage legislation.

Keywords:   Employment, unemployment, inactivity, insecurity, gig economy

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