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A Numerical Simulation of Educational Mismatch in the Italian Labor Market

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  • Roberto Roson
  • Emanuela Ghignoni

Abstract

This paper presents a dataset associating education levels with occupations and proposes a methodology to estimate how the joint distribution of these variables may change after an exogenous shock affecting the labour market. The analysis focuses on the implication that, in response to weaker labour demand, sufficiently educated workers may reallocate into lower-ranked occupations rather than become unemployed. The exercise is conducted with Italian data covering 37 occupations and 10 education levels. A counterfactual employment-by-education distribution is estimated by using a computable general equilibrium model to simulate the labour-market impact of a trade disruption crisis with Russia.

Suggested Citation

  • Roberto Roson & Emanuela Ghignoni, 2023. "A Numerical Simulation of Educational Mismatch in the Italian Labor Market," CIMEO Working Paper Series 177, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
  • Handle: RePEc:ter:wpaper:00177
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    References listed on IDEAS

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    1. David N.F. Bell & David G. Blanchflower, 2013. "Underemployment in the UK Revisited," National Institute Economic Review, National Institute of Economic and Social Research, vol. 224(1), pages 8-22, May.
    2. Buchel, Felix & van Ham, Maarten, 2003. "Overeducation, regional labor markets, and spatial flexibility," Journal of Urban Economics, Elsevier, vol. 53(3), pages 482-493, May.
    3. McGuinness, Seamus & Sloane, Peter J., 2011. "Labour market mismatch among UK graduates: An analysis using REFLEX data," Economics of Education Review, Elsevier, vol. 30(1), pages 130-145, February.
    4. David N.F. Bell & David G. Blanchflower, 2018. "The Lack of Wage Growth and the Falling NAIRU," National Institute Economic Review, National Institute of Economic and Social Research, vol. 245(1), pages 40-55, August.
    5. Leuven, Edwin & Oosterbeek, Hessel, 2011. "Overeducation and Mismatch in the Labor Market," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 283-326, Elsevier.
    6. Murphy, Kevin M & Topel, Robert H, 1997. "Unemployment and Nonemployment," American Economic Review, American Economic Association, vol. 87(2), pages 295-300, May.
    7. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    8. Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-880, June.
    9. Séamus McGuinness, 2006. "Overeducation in the Labour Market," Journal of Economic Surveys, Wiley Blackwell, vol. 20(3), pages 387-418, July.
    10. Caroleo, Floro Ernesto & Pastore, Francesco, 2015. "Overeducation: A Disease of the School-to-Work Transition System," IZA Discussion Papers 9049, IZA Network @ LISER.
    11. Peter Gottschalk & Michael Hansen, 2003. "Is the Proportion of College Workers in Noncollege Jobs Increasing?," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 409-448, April.
    12. Patrizia Ordine & Giuseppe Rose, 2009. "Overeducation and Instructional Quality: A Theoretical Model and Some Facts," Journal of Human Capital, University of Chicago Press, vol. 3(1), pages 73-105.
    13. David Card & Francis Kramarz & Thomas Lemieux, 1999. "Changes in the Relative Structure of Wages and Employment: A Comparison of the United States, Canada, and France," Canadian Journal of Economics, Canadian Economics Association, vol. 32(4), pages 843-877, August.
    14. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    15. Stijn Baert & Dieter Verhaest, 2019. "Unemployment or Overeducation: Which is a Worse Signal to Employers?," De Economist, Springer, vol. 167(1), pages 1-21, March.
    16. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.
    17. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    18. Roberto Roson, 2022. "Underemployment in a Computable General Equilibrium Model," Working Papers 2022:17, Department of Economics, University of Venice "Ca' Foscari".
    19. Giorgio Di Pietro & Andrea Cutillo, 2006. "University Quality and Labour Market Outcomes in Italy," LABOUR, CEIS, vol. 20(1), pages 37-62, March.
    20. Angel Aguiar & Maksym Chepeliev & Erwin L. Corong & Robert McDougall & Dominique van der Mensbrugghe, 2019. "The GTAP Data Base: Version 10," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 1-27, June.
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    Keywords

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    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition

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