Daniel Borowczyk-Martins () and David Pacini ()
Daniel Borowczyk-Martins: Department of Economics, Copenhagen Business School, Postal: Copenhagen Business School, Department of Economics, Porcelaenshaven 16 A. 1. floor, DK-2000 Frederiksberg, Denmark
David Pacini: University of Bristol
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.
32 pages, January 31, 2022
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