Measuring match quality using subjective data
AbstractWe 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 113 (2011)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/ecolet
Wages; Job mobility; Match quality; Panel data; BHPS;
Other versions of this item:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J62 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Job, Occupational and Intergenerational Mobility; Promotion
- J63 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Turnover; Vacancies; Layoffs
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- Barmby, Tim & Bryson, Alex & Eberth, Barbara, 2012.
"Human capital, matching and job satisfaction,"
Elsevier, vol. 117(3), pages 548-551.
- 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.
- 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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