Educational Mismatch of Graduates: A Multidimensional and Fuzzy Indicator

Social Indicators Research

Volumn 103, Issue 3, 2011, Pages 465-480

  Betti, Gianni ^a   D'Agostino, Antonella ^b   Neri, Laura ^a  

^a UNIVERSITY OF SIENA   (Italy)

^b UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

Author keywords

Educational mismatch; Factor analysis; Fuzzy sets; Multidimensional indicators

Indexed keywords

EDUCATIONAL ATTAINMENT; FACTOR ANALYSIS; FUZZY MATHEMATICS; HIGHER EDUCATION; JOB SEARCH; SELF EMPLOYMENT; SOCIOECONOMIC INDICATOR; WORKING CONDITIONS;

ITALY;

EID: 79960973023     PISSN: 03038300     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11205-010-9712-6     Document Type: Article

References (33)

1. Aassve, A., Betti, G., Mazzuco, S., & Mencarini, L. (2007). Marital disruption and economic well-being; a comparative analysis. Journal of the Royal Statistical Society, Series A, 170, 781-799.
2. Alba-Ramirez, A. (1993). Mismatch in the Spanish labor market: Overeducation? The Journal of Human Resources, 28, 259-278.
3. Allen, J., & van der Velden, R. (2001). Educational mismatches versus skill mismatches; effects on wages, job satisfaction and on the job search. Oxford Economic Papers, 53, 434-452.
4. Battu, H., Belfield, C. R., & Sloane, P. J. (1999). Overeducation among graduates: A cohort view. Education Economics, 7, 21-38.
5. Belfield, C., & Harris, R. (2002). How well do theories of job matching explain variation in job satisfaction across education levels? Evidence for UK graduates. Applied Economics, 34, 535-548.
6. Bentler, P. M., & Bonnet, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
7. Betti, G., & Verma, V. (2008). Fuzzy measures of the incidence of relative poverty and deprivation: A multi-dimensional perspective. Statistical Methods and Applications, 17, 225-250.
8. Betti, G., Cheli, B., Lemmi, A., & Verma, V. (2006). Multidimensional and longitudinal poverty: An integrated fuzzy approach. In A. Lemmi & G. Betti (Eds.), Fuzzy set approach to multidimensional poverty measurement (pp. 111-137). New York: Springer.
9. Blau, F. D., & Kahn, L. M. (2000). Gender differences in pay. Journal of Economics Perspectives, 14, 75-99.
10. Bollen, K. A. (1989). Structural equation with latent variables. New York: Wiley.
11. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Thousand Oaks, CA: Sage.
12. Cabral Veieira, J. A. (2005). Skill mismatches and job satisfaction. Economics Letters, 89, 39-47.
13. Cammelli, A. (2007). Survey of graduate employment, presented to the conference on university-to-work transition in Italy and in Europe, Bologna, 2-3 March 2007.
14. Cerioli, A., & Zani, S. (1990). A fuzzy approach to the measurement of poverty. In C. Dagum & M. Zenga (Eds.), Income and wealth distribution, inequality and poverty, studies in contemporary economics (pp. 272-284). Berlin: Springer.
15. Cohn, E. (1994). The impact of surplus schooling on earnings: Comment. Journal of Human Resources, 27, 679-682.
16. Di Pietro, G., & Cutillo, A. (2006). University quality and labour market outcomes in Italy. Labour, 20, 37-62.
17. Di Pietro, G., & Urwin, P. (2006). Education and skills mismatch in the Italian graduate labour market. Applied Economics, 38, 79-93.
18. Dolton, P., & Vignoles, A. (2000). The incidence and effects of overeducation in the UK graduate labour market. Economics of Education Review, 19, 179-198.
19. Dubois, D., & Prade, H. (1980). Fuzzy sets and systems. New York, London: Academic Press.
20. Filippone, B., Cheli, B., & D'Agostino, A. (2001). Addressing the interpretation and the aggregation problems in totally fuzzy and relative poverty measures, ISER working papers, no. 2001-22. Institute for social and economic research, University of Essex, Colchester, UK.
21. Groot, W. (1996). The incidence of and returns to overeducation in the UK. Applied Economics, 28, 1345-1350.
22. Groot, W., & van den Drink, H. M. (2000). Overeducation in the labor market: A meta-analysis. Economics of Education Review, 19, 149-158.
23. Hakstian, A. R., Rogers, W. D., & Cattel, R. B. (1982). The behavior of numbers factors rules with simulated data. Multivariate Behavioral Research, 17, 193-219.
24. Hartog, J. (2000). Over-education and earnings: Where are we, where should we go? Economics of Education Review, 19, 131-147.
25. Jarrell, S. B., & Stanley, T. D. (2004). Declining bias and gender wage discrimination? A meta-regression analysis. Journal of Human Resources, 39, 828-838.
26. Joreskog, K. G., & Sorbom, D. (1993). LISREL 8 user's reference guide. Chicago: Scientific Software.
27. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151.
28. Lucifora, C., & Meurs, D. (2006). The public sector pay gap in France, great Britain and Italy. Review of Income and Wealth, 52, 42-59.
29. Nasselroade, J. R., & Baltes, P. B. (1984). From traditional factor analysis to structural-causal modelling in development research. In V. Sarris & A. Parducci (Eds.), Perspective in psychological experimentation: Toward the year 2000 (pp. 267-287). Hillsdale, NJ: Lawrence Erlbaum.
30. Raghunathan, T. E., Lepkowski, J., van Voewyk, J., & Solenberger, P. (2001). A multivariate technique for imputing missing values using a sequence of regression models. Survey Methodology, 27, 85-95.
31. Rubb, S. (2003). Post-college schooling, overeducation, and hourly earnings in the United States. Education Economics, 11, 53-72.
32. Whelan, C. T., Layte, R., Maitre, B., & Nolan, B. (2001). Income deprivation and economic strain: An analysis of the European community household panel. European Sociological Review, 17, 357-372.
33. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.