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Measuring match quality using subjective data

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Abstract

We examine whether data routinely collected in household surveys and surveys of workers can be used to construct a measure of underlying match quality between worker and firm which helps test matching models and predict subsequent labour market outcomes of workers. We use subjective data from employees both on reported levels of job satisfaction with various aspects of the current job and on whether they would like a new job with a new employer to construct a measure of underlying match quality. We then use this to test several implications of matching models relating to wage-tenure profiles, wages, and separations.

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Bibliographic Info

Paper provided by Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho in its series NIMA Working Papers with number 40.

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Length: 17 pages
Date of creation: Dec 2010
Date of revision:
Handle: RePEc:nim:nimawp:40/2010

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Postal: NIMA, EEG - Universidade do Minho, 4710-057 Braga, Portugal
Phone: +351 253601930
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Web page: http://nima.eeg.uminho.pt/

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Postal: NIMA, EEG - Universidade do Minho, 4710-057 Braga, Portugal
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Web: http://nima.eeg.uminho.pt/

Related research

Keywords: panel data; wages; job mobility; match effects; BHPS;

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Cited by:
  1. Constantin Mang, 2012. "Online Job Search and Matching Quality," Ifo Working Paper Series Ifo Working Paper No. 147, Ifo Institute for Economic Research at the University of Munich.
  2. Dr Alex Bryson, 2012. "Human Captial, Matching and Job Satisfaction," NIESR Discussion Papers 3226, National Institute of Economic and Social Research.
  3. Berlingieri, Francesco & Erdsiek, Daniel, 2012. "How relevant is job mismatch for German graduates?," ZEW Discussion Papers 12-075, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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