Measuring Labor Market Transitions in Europe: Identification and Validation Analysis

Daniel Borowczyk-Martins and David Pacini ()
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David Pacini: University of Bristol, https://www.bristol.ac.uk/people/person/David-Pacini-1d0a3138-5b9a-45c3-b6f6-7391c55542d0/

No 3-2022, Working Papers from Copenhagen Business School, Department of Economics

Abstract: We consider the problem of measuring transition probabilities across employment, unemployment and nonparticipation when longitudinal data is not available and/or the available retrospective data is measured with error. We establish nonparametric point-identification conditions from time series of cross sections, focusing on the European Union Labor Force Survey (EULFS) microdata released by Eurostat, and assess their validity using auxiliary panel data for Portugal and the United Kingdom. We find that the variables in the EULFS do not satisfy the identification conditions. Consequently, we propose alternative data-releasing solutions allowing users to measure transitions from EULFS data while satisfying the existing legal requirements.

Keywords: Retrospective data; Measurement error; Labor force surveys (search for similar items in EconPapers)
JEL-codes: C26 C52 E24 J21 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2022-01-31
New Economics Papers: this item is included in nep-eur and nep-mac
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