Abstract
Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household’s cultural and financial conditions on shaping investment in tertiary education and its failure, at the national level. Our estimates confirm the persistence of intergenerational correlations related to education. Cultural constraints affect outcomes—enrolment in and withdrawal from tertiary education; low income negatively affects the transition from high school to college. Our results suggest that a comprehensive policy intervention is needed to ensure optimal human capital investment.
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Notes
ISTAT (2000).
Pre 1969, access to university was allowed to only individuals holding an academic-oriented secondary school qualification (i.e. licei). Individuals holding technical and professional high school diploma have only been allowed to enrol for a university degree course since the introduction of law n.910/69.
In 2000, university survival rates were lowest in Italy (42 %) compared to an OECD average of 70 % (70 % for Germany, 59 % for France and 83 % for the UK).
Italian subsidies for education to private entities as a percentage of GDP were of 0.15 in 2000, while the OECD mean was 0.24 % (OECD 2003).
It should be noted that family income in this study refers to resources available at the time of transitions rather than parental income during the child’s late adolescent years. It has been shown that children in financially well off families during their formative years have greater exposure to higher quality education and experience environments that foster cognitive and non-cognitive skills (Carneiro and Heckman 2002).
These authors show that undergraduates with good final high school grades are more likely to dropout.
The ECHP survey was discontinued after 2001.
In this manner, we control for the resources available given family characteristics.
In ECHP, data individuals are already identified by grouping some regions—it includes 11 geographical areas.
Average unemployment rates during the sample period were about 6.6 % in the north-west, 5.3 % in the north-east, 7.6 % in central Italy and 16 % in the south.
Under the assumption of ‘proportional hazard’, the duration profile of the hazard is the only function of the time variable and, therefore, is the same for all individuals where the profile is shifted upwards or downwards by the explanatory variables.
‘Rho’ is the ratio of the heterogeneity variance to 1 plus the heterogeneity variance.
The highest percentage of university enrolment after high school completion is also due to the specific Italian situation, where there is a limited differentiation in higher education programmes. The situation changed slightly after the introduction of the new university reform ‘3 + 2’, which also encouraged enrolment by individuals with less time to devote to study, such as workers and older individuals.
For example in the academic year 1998–1999, according to geographical macro-area of residence, freshmen were about 19.64 % from the north-western, 15.37 % from the north-eastern, 20.83 % from the centre and 44.16 % from the southern Italy.
The estimation results correspond to the model without unobserved heterogeneity as the hypothesis that rho is zero cannot be rejected (i.e. frailty is unimportant).
References
Ahlburg, D. A., McCall, B. P., Na, I. (2002). Time to dropout from college: A hazard model with endogenous waiting. Working Paper No. 0102, Industrial Relations Center, University of Minnesota.
Arulampalam, W., Naylor, R. A., & Smith, J. P. (2004a). A hazard model of the probability of medical school drop-out in the UK. Journal of Royal Statistics Society A, 167, 157–178.
Arulampalam, W., Naylor, R. A., & Smith, J. P. (2004b). Factors affecting the probability of first year medical student dropout in the UK: A logistic analysis for the intake of cohorts of 1980–92. Medical Education, 38, 492–503.
Arulampalam, W., Naylor, R. A., & Smith, J. P. (2005). Effects of in-class variation and student rank on the probability of withdrawal: Cross-section and time-series analysis for UK university students. Economics of Education Review, 24(3), 251–262.
Arulampalam, W., Naylor, R. A., & Smith, J. P. (2007). Dropping out of Medical School in the UK: Explaining the changes over ten years. Medical Education, 41, 385–394.
Ashenfelter, O., & Ham, J. (1979). Education, unemployment, and earnings. Journal of Political Economy, 87(5), 99–116.
Bean, J. P. (1980). Dropouts and turnover: The synthesis and test of a casual model of student attrition. Journal of Research in Higher Education, 12, 155–187.
Bean, J. P., & Metzner, B. S. (1985). A conceptual model of non-traditional undergraduate student attrition. Journal of Review of Education Research, 55, 485–540.
Becker, G. S. (1964). Human capital. New York: Columbia University Press.
Becker, S. (2001). Why don’t Italians finish university?. European University Institute (unpublished manuscript).
Becker, G. S., & Chiswick, B. R. (1966). Education and the distribution of earnings. American Economic Review, 56(2), 358–369.
Belloc, F., Maruotti, A., & Petrella, L. (2010). University drop-out: An Italian experience. Higher Education, 60, 127–138.
Blanden, J., & Machin, S. (2004). Educational inequality and the expansion of UK higher education. The Scottish Journal of Political Economy, 51(2), 230–249.
Blossfeld, A., & Shavit, Y. (1993). Persistent inequality: Changing educational attainment in thirteen countries. Boulder, CO: Westview Press.
Boero, G., Laureti, T., & Naylor, R. (2005). An econometric analysis of student withdrawal and progression in post reform Italian universities, Working Paper 2005–04—CRENOS.
Bowles, S., & Gintis, H. (2002). The inheritance of inequality. Journal of Economic Perspective, 16, 3–30.
Bratti, M. (2001). Labour force participation and marital fertility of Italian women: The role of education. Journal of Population Economics, 16(3), 525–554.
Bratti, M., Broccolini, C., & Staffolani, S. (2010). Higher education reform, student’s time allocation and academic performance in Italy: Evidence from a Faculty Of Economics. Rivista di Politica Economica, n.2, 275–304.
Bratti, M., Checchi, D., & De Blasio, G. (2008). Does the expansion of higher education increase the equality of educational opportunities? Evidence from Italy. Labour, 22(s1), 53–86.
Brunello, G., & Cappellari, L. (2008). The labour market effects of Alma Mater: Evidence from Italy. Economics of Education Review, 27(5), 564–574.
Brunello, G., & Checchi, D. (2007). Does school tracking affect equality of opportunity? New international evidence. Economic Policy, 22(52), 781–861.
Brunello, G., Comi, S., & Lucifora, C. (1999). Returns to education in Italy: A review of the applied literature, in returns to human capital in Europe. A literature review. Helsinki: ETLA.
Cappellari, L., & Lucifora, C. (2008). The “Bologna Process” and college enrollment decisions. Labour Economics, 16(6), 638–647.
Card, D. (1999). The causal effect of education on earnings. Handbook of Labor Economics, 3, chapter 30, pp. 1801–1863.
Card, D., & Krueger, A. B. (1992) Does school quality matter: Returns to education and the characteristics of public schools in the United States. Journal of Political Economy 100, l–40.
Carneiro, P., & Heckman, J. J. (2002). The evidence on credit constraints in post-secondary schooling. The Economic Journal, 112(3), 705–734.
Checchi, D. (2000). University education in Italy. International Journal of Manpower, 21(3), 177–205.
Checchi, D., Fiorio, C.V., Leonardi, M. (2008). Intergenerational persistence in educational attainment in Italy. IZA Discussion Paper 3622.
Checchi, D, Flabbi, L. (2006). Intergenerational mobility and schooling decisions In Italy and Germany. IZA Discussion Paper 2876.
Checchi, D., Franzoni, F., Ichino, A., & Rustichini, A. (2000). College choice and academic performance. Department of Economics, University of Milan Italy (unpublished manuscript).
Checchi, D., Ichino, A., & Rustichini, A. (1999). More equal but less mobile? Education financing and intergenerational mobility in Italy and the US. Journal of Public Economics, 74, 351–393.
Cingano, F. & Cipollone, F. (2007). University drop-out. The case of Italy, Temi di discussione, Banca d’Italia.
Di Pietro, G. (2004). The Determinants of University Dropout in Italy: a Bivariate Probability Model with Sample Selection. Applied Economics Letters, 11(3), 187–191.
Di Pietro, G. (2006). Regional labour market conditions and university dropout rates. Evidence from Italy. Regional Studies, 40(6), 617–630.
Fondazione RUI & Università di Camerino. (2002). Euro Student 2000: Indagine sulle condizioni di vita e di studio degli studenti universitari in Italia, Rome.
Galindo-Rueda, F., & Vignoles, A. (2005). The declining relative importance of ability in predicting educational attainment. Journal of Human Resources, 40(2), 335–353.
Han, S., & Mulligan, C. B. (2001). Human capital, heterogeneity and estimated degrees of intergenerational mobility. The Economic Journal, 111, 207–243.
Hanushek, E., & Wößmann, L. (2006). Does educational tracking affect performance and inequality? Differences-in-differences evidence across countries. The Economic Journal, 116, C63–C76.
Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods and findings. Journal of Economic Literature, 33, 1829–1878.
Heineck, G., & Riphahn, R. T. (2009). Intergenerational transmission of educational attainment in Germany—The last five decades. Journal of Economics and Statistics, 229(1), 36–60.
ISTAT. (1998). Università e lavoro: statistiche per orientarsi, Roma.
ISTAT. (2000). Università e lavoro: statistiche per orientarsi, Roma.
ISTAT. (2010). Indice dei prezzi per le rivalutazioni monetarie, Roma.
Jenkins, S. P. (2004). Survival analysis, institute for social and economic research. University of Essex. (unpublished manuscript).
Johnes, G., & McNabb, R. (2004). Never give up on the good times: Student attrition in the UK. Oxford Bulletin of Economics and Statistics, 66, 23–47.
Lochner, L. (2004). Education, work, and crime: A human capital approach. International Economic Review, 45(3), 811–843.
Meara, E. R., Richards, S., & Cutler, D. M. (2008). The gap gets bigger: Changes in mortality and life expectancy, by education, 1981–2000. Health Affairs, 27(2), 350–360.
Montmarquette, C., Mahseredjian, S., & Houle, R. (2001). The determinants of university dropouts: A bivariate probability model with sample selection. Economics of Education Review, 20(5), 475–484.
OECD. (2011). Education at a glance 2011: OECD indicators. OECD Publishing.
Smith, J., & Naylor, R. (2001). Determinants of degree performance in UK universities: A statistical analysis of the 1993 student cohort. Oxford Bulletin of Economics and Statistics, 63(1), 29–60.
Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374.
Tinto, V. (1975). Dropout from higher education: Toward an empirical synthesis of the recent research. Journal of Review of Educational Research, 45, 89–125.
Topel, R. (2005). The private and social values of education. Proceedings, Federal Reserve Bank of Cleveland, pp. 47–57.
Triventi, M., & Trivellato, P. (2009). Participation, performance and inequality in Italian higher education in the 20th century. Evidence from the Italian Longitudinal Household Survey. Higher Education, 57, 681–702.
Acknowledgments
I thank the Institute for Social and Economic Research (ISER—University of Essex) for the data. Individual thanks for useful comments are due to Lorenzo Cappellari, Giorgia Casalone, Mark Bryan, Marco Francesconi, David Haardt, Stephen Jenkins and Cheti Nicoletti and to two anonymous reviewers.
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Aina, C. Parental background and university dropout in Italy. High Educ 65, 437–456 (2013). https://doi.org/10.1007/s10734-012-9554-z
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DOI: https://doi.org/10.1007/s10734-012-9554-z