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Human Capital Growth for University Education Evaluation

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Effectiveness of University Education in Italy

Summary

In this paper, we propose a method for the evaluation of relative and impact external efficiency of university studies as effects of education on the long-term income of graduates. In order to evaluate the “ceteris paribus” levels and growth we applied a multilevel longitudinal model with random effects. The variables used in our analysis refer to Human Capital studies. The Bank of Italy has collected the data used for the analysis in the years 1998, 2000 and 2002.

This paper is the result of the joint effort of both the authors. G. Vittadini took care of the final editing of Section 1, whereas P.G. Lovaglio was responsible for all the other Sections.

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References

  • BANCA D’ITALIA (2002) I bilanci delle famiglie italiane, Supplementi al Bollettino Statistico.

    Google Scholar 

  • BECKER G.S. (1964) Human Capital, Columbia University Press and NBER, New York.

    Google Scholar 

  • BRYK A.S., THUM Y.M., EASTON J.Q., LUPPESCU S. (1998) Assessing school academic productivity: The case of Chicago School Reform, Social Psychology of Education, 2: 103–142.

    Article  Google Scholar 

  • BRYK A.S., RAUDENBUSH S.W. (1992) Hierarchical Linear Models: Applications and Data Analysis Methods, Sage Publication, Newbury Park, CA.

    Google Scholar 

  • COLLINS L.M. (1996) Is reliability obsolete? A commentary on “Are simple gain scores obsolete?”, Applied Psychological Measurement, 20: 289/292.

    Google Scholar 

  • CNAAN A., LAIRD N.M., SLASOR P. (1997) Using the General Linear Mixed Model to analyse unbalanced repeated measures and longitudinal data, Statistics in Medicine, 16: 2349–2380.

    Article  PubMed  CAS  Google Scholar 

  • CRONBACH L.J., FURBY L. (1970) How should we measure “change” or should we?, Psychological Bulletin, 74(1): 68–80.

    Article  Google Scholar 

  • ELIAS G. (2002) L’accreditamento del processo e la misura del risultato. In: Workshop “Valutazione dell’Università, accreditamento del processo, misurazione del prodotto”, Franco Angeli, Università Milano Bicocca.

    Google Scholar 

  • FITZ-GIBBON C.T. (1997) The Value-Added National Project: Final Report. Feasibility Studies for a National System of Value-Added Indicators, SCAA Publication, Hayes Middlesex.

    Google Scholar 

  • GAREN J. (1984) The returns to schooling: a selectivity bias approach with a continuous choice variable, Econometrica, 52, 23–54.

    Article  Google Scholar 

  • GOLDSTEIN H. (1995) Multilevel Statistical Models, II ed., Edward Arnold, London.

    MATH  Google Scholar 

  • GOLDSTEIN H., SPIEGELHALTER D.J. (1996) League table and their limitations: statistical issues in comparisons of institutional performances (with discussion), Journal of Royal Statistical Society, 159(5): 385–443.

    Article  Google Scholar 

  • GOOD T.L., BIDDLE B.J., BRODY J.E. (1975) Teachers Make a Difference, Holt, Rinehart and Winston, New York.

    Google Scholar 

  • HANUSHEK E.A. (1997) Assessing the effects of school resources on economic performance, Education Evaluation and Policy Analysis, 19(2): 141–164.

    Article  Google Scholar 

  • HANUSHEK E.A. (2002) Publicly provided education. In: AUERBACH A., FELDSTEIN M. (eds) The Handbook of Public Economics, IV.

    Google Scholar 

  • LAIRD N.M. WARE J. H. (1982) Random effects models for longitudinal studies, Biometrics, 38: 973–974.

    Article  Google Scholar 

  • LOCKHEED M.E., HANUSHEK E.R. (1994) Concepts of educational efficiency and effectiveness, International Encyclopedia of Education, II Edition.

    Google Scholar 

  • LOVAGLIO P.G. (2005) Efficacia relativa e di impatto di iniziative nell’ambito dei servizi alla persona di pubblica utilità, Statistica, 1: 1–18.

    Google Scholar 

  • MARIS E. (1998) Covariance adjustment versus gain score-Revisited, Psychological Methods, 3: 309–327.

    Article  Google Scholar 

  • MEYER D. (1996). The Power of their Ideas: Lessons for America from a Small School in Harlem. Boston: Beacon Press.

    Google Scholar 

  • MELLENBERGH G.J. (1999) A note on simple gain score precision, Applied Psychological Measurement, 23(1): 87–89.

    Article  Google Scholar 

  • ROGOSA D.R. (1995) Myths about longitudinal research. In: GOTTMAN J.M. (ed), The Analysis of Change, LEA, Mahwah, NJ: 3–66.

    Google Scholar 

  • ROGOSA D.R., BRAND D., ZIMOWSKI M. (1982) A growth curve approach to the measurement of change, Psychological Bulletin, 90: 726–748.

    Article  Google Scholar 

  • ROGOSA D.R., WILLETT J.B. (1985) Understanding correlates of change by modeling individual differences in growth, Psychometrika, 50: 203–228.

    Article  MathSciNet  Google Scholar 

  • SAUNDERS L. (1999) A brief history of educational “value added”: how did we get to where we are?, School Effectiveness and School Improvement, 10(2): 233–256.

    Article  Google Scholar 

  • SCHEERENS J., BOSKER R.J. (1997) The Foundations of Educational Effectiveness, Pergamon, Oxford.

    Google Scholar 

  • SINGER J.D., WILLET J.B. (2003) Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, Oxford University Press, Oxford.

    Google Scholar 

  • THUM Y.M. (2002) Measuring progress towards a goal: estimating teacher productivity using a multivariate multilevel model for value-added analysis (http://www.mff.org/pubs/tchprodv3.pdf).

    Google Scholar 

  • WILLETT J.B. (1988) Questions and answers in the measurement of change, Review of Research in Education, 15: 345–422.

    Article  Google Scholar 

  • WILLIAMS R.H., ZIMMERMAN D.W. (1996) Are gain scores obsolete?, Applied Psychological Measurement, 20: 59–69.

    Google Scholar 

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Lovaglio, P.G., Vittadini, G. (2007). Human Capital Growth for University Education Evaluation. In: Fabbris, L. (eds) Effectiveness of University Education in Italy. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1751-5_26

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