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Measuring match quality using subjective data
Authors:Priscila FerreiraMark Taylor
Affiliation:
  • a NIMA and Department of Economics, University of Minho, Portugal
  • b Institute for Social and Economic Research, University of Essex, Colchester, Essex, CO4 3SQ, UK
  • Abstract:
    We examine whether subjective information routinely collected in general surveys can be used to construct a single measure of underlying match quality which helps test matching models and predict labour market outcomes of workers.
    Keywords:C33   J28   J31   J62   J63
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