Arbeitspapier

Educational mismatches, technological change and unemployment: evidence from secondary and tertiary educated workers

In this article, we investigate the role of several types of educational mismatch in explaining labour market transitions of workers with secondary and higher education. We focus on transitions from employment to unemployment and on job changes, to assess whether mismatch is a temporary or a permanent phenomenon. In the first case, as suggested by matching models, mismatch will be eliminated through job-to-job transitions. In the second case, it might be permanent and caused by employment discontinuity and deskilling processes. By using information from the Italian Survey of Professions (ICP) and the Survey on Labour Participation and Unemployment (PLUS), we calculate three measures of vertical mismatch. This allows comparing the outcomes from self-reported and revealed match measures in order to assess the robustness of the results. In addition, we use a measure of horizontal mismatch and evaluated the effect of Routine Bias Technical change (RBTC) in terms of unemployment risk, through a Routine Task Index (RTI) calculated on Italian data. Results indicate that mismatched workers are at risk of long-term unemployment. More specifically, among workers with higher education, the risk is due to mismatches in the field of studies whereas for secondary educated workers, over-education is the main cause of unemployment risk. The effect of the RTI is often not significant. This adds evidence to the problem of skill gap in Italy, as educational choices are not aligned to market needs. In this respect, both demand side and supply side policies are needed to allow firms to better use this human capital.

Language
Englisch

Bibliographic citation
Series: GLO Discussion Paper ; No. 465

Classification
Wirtschaft
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Human Capital; Skills; Occupational Choice; Labor Productivity
Unemployment: Models, Duration, Incidence, and Job Search
Labor Standards: Labor Force Composition
Subject
higher education
over-education
educational mismatch
routine bias technical change
unemployment
Italy

Event
Geistige Schöpfung
(who)
Esposito, Piero
Scicchitano, Sergio
Event
Veröffentlichung
(who)
Global Labor Organization (GLO)
(where)
Essen
(when)
2020

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Esposito, Piero
  • Scicchitano, Sergio
  • Global Labor Organization (GLO)

Time of origin

  • 2020

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