Two Sides to Every Story: Measuring the Polarisation of Work
AbstractIndividual and household based aggregate measures of joblessness can, and do, offer conflicting signals about labour market performance if work is unequally distributed. Thispaper introduces a simple set of indices that can be used to measure the extent of divergencebetween individual and household-based jobless measures. The indices, built around acomparison of the actual household jobless rate with that which would occur if work wererandomly distributed over the working age population, conform to basic consistency axiomsand can be decomposed to try to identify the likely source of any disparity betweennonemployment rates calculated at the 2 levels of aggregation. Applying these measures todata for Britain, we show that there has been a growing disparity ¿ polarisation - between theindividual and household based jobless measures that are largely unrelated to changes inhousehold structure or the principal characteristics associated with individual joblessness.
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Bibliographic InfoPaper provided by Centre for Economic Performance, LSE in its series CEP Discussion Papers with number dp0632.
Date of creation: May 2004
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Workless households; Distribution of work; Polarisation; Joblessness;
Other versions of this item:
- Paul Gregg and Jonathan Wadsworth, 2004. "Two Sides to Every Story : Measuring the Polarisation of Work," Royal Holloway, University of London: Discussion Papers in Economics 04/03, Department of Economics, Royal Holloway University of London, revised Apr 2004.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- J0 - Labor and Demographic Economics - - General
- J6 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies
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