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Enhancing the comparability of self-rated skills-matching using anchoring vignettes

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  • Martin Ryan
  • Liam Delaney
  • Colm Harmon

Abstract

This research is concerned with the skills-match between researchers' Ph.D. training and their subsequent university employment. Self-rated skills-matching is considered in light of the anchoring vignettes technique. This technique is used to adress comparability issues in survey research. It has been documented that individuals with more education and skills have the highest expectations for their jobs and careers; and are more easily disappointed. This is one reason why there may be comparability problems in self-rated skills matching. Only a few studies (at least one using objective data, a few more using self- reported data) have examined the issue of skills-matching. Furthermore, the results from objective data are somewhat problematic. This underscores the need to apply anchoring vignettes to self-reported data. Mismatch is associated with substantially lower earnings; with more comparable measures, wage penalties can be more accurately estimated.

Suggested Citation

  • Martin Ryan & Liam Delaney & Colm Harmon, 2009. "Enhancing the comparability of self-rated skills-matching using anchoring vignettes," Open Access publications 10197/2066, School of Economics, University College Dublin.
    • Handle: RePEc:ucn:oapubs:10197/2066
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    File URL: http://hdl.handle.net/10197/2066
    File Function: Open Access version, 2009
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    More about this item

    Keywords

    Skills-matching; Anchoring vignettes; Ph.D. outcomes; Self-rated survey questions; Over-education; Human capital; Doctoral students--Employment; Universities and colleges--Employees--Job satisfaction; Vocational guidance; Self-evaluation;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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