Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
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  • 作者:Claudia Pigini ; Stefano Staffolani
  • 关键词:Enrollment cost ; University quality ; Enrollment composition ; University choice ; Nested logit model
  • 刊名:Higher Education
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:71
  • 期:1
  • 页码:119-142
  • 全文大小:579 KB
  • 参考文献:Allen, R. F., & Shen, J. (1999). Some new evidence of the character of competition among higher education institutions. Economics of Education Review, 18(4), 465–470.CrossRef
    Bergman, M. M., & Joye, D. (2001). Comparing social stratification schemas: Camsis, csp-ch, goldthorpe, isco-88, treiman, and wright. Cambridge Studies in Social Research, 9, 1–37.
    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(Special Issue):53–88.
    Brunello, G., & Cappellari, L. (2008). The labour market effects of Alma Mater: Evidence from Italy. Economics of Education Review, 27(5), 564–574.CrossRef
    Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge: Cambridge University Press.CrossRef
    Carneiro, P., & Heckman, J. J. (2002). The evidence on credit constraints in post-secondary schooling. The Economic Journal, 112(482), 705–734.CrossRef
    Cesi, B., & Paolini, D. (2014). Peer group and distance: When widening university participation is better. The Manchester School. doi:10.​1111/​manc.​12049 .
    Checchi, D., & Flabbi, L. (2007). Intergenerational mobility and schooling decisions in Germany and Italy: The impact of secondary school tracks. Iza dp no. 2876, Bonn: IZA.
    Checchi, D., Fiorio, C. V., & Leonardi, M. (2013). Intergenerational persistence of educational attainment in Italy. Economics Letters, 118(1), 229–232.CrossRef
    Cingano, F., & Cipollone, P. (2009). The private and social return to schooling in Italy. Occasional papers 53, Bank of Italy.
    Ciriaci, D. (2013). Does university quality influence the interregional mobility of students and graduates? The case of Italy. Regional Studies pp 1–17.
    Cullinan, J., Flannery, D., Walsh, S., & McCoy, S. (2013). Distance effects, social class and the decision to participate in higher education in Ireland. The Economic and Social Review, 44(1), 19–51.
    Deming, D., & Dynarski, S. (2009). Into college, out of poverty? Policies to increase the postsecondary attainment of the poor. Tech. rep., National Bureau of Economic Research
    Denzler, S., & Wolter, S. (2011). Too far to go? does distance determine study choices? IZA Discussion Papers 5712, Institute for the Study of Labor (IZA).
    Dotti, N. F., Fratesi, U., Lenzi, C., & Percoco, M. (2013). Local labour markets and the interregional mobility of Italian university students. Spatial Economic Analysis, 8(4), 443–468.CrossRef
    Drewes, T., & Michael, C. (2006). How do students choose a university? An analysis of applications to universities in Ontario, Canada. Research in Higher Education.
    Gibbons, S., & Vignoles, A. (2012). Geography, choice and participation in higher education in England. Regional Science and Urban Economics, 42, 98–113.CrossRef
    ISTAT (2014) Archive on the Italian education system. http://​www.​istat.​it/​it/​archivio/​17290 , Italian Institute of Statistics
    Long, B. T. (2004). How have college decisions changed over time? An application of the conditional logistic choice model. Journal of Econometrics, 121(1–2), 271–296.CrossRef
    Manski, C., & Wise, D. (1983). College Choice in America. Cambridge: Harvard University Press.CrossRef
    Mitze, T., Burgard, C., & Alecke, B. (2014). The tuition fee shock: Analysing the response of first-year students to a spatially discontinuous policy change in Germany. Papers in Regional Science.
    MIUR. (2013). Il passaggio dalla scuola secondaria di secondo grado all’università. Tech. rep., Italian Ministery of Education, University and Research
    Neill, C. (2009). Tuition fees and the demand for university places. Economics of Education Review, 28(5), 561–570.CrossRef
    OECD (2014). Education at a glance. OECD Indicators.
    Ordine, P., & Lupi, C. (2009). Family income and students’ mobility. Giornale degli Economisti, 68(1), 1–23.
    Reay, D., Davies, J., David, M., & Ball, S. J. (2001). Choices of degree or degrees of choice? Class, race’and the higher education choice process. Sociology, 35(4), 855–874.
    Sá, C., Florax, R. J., & Rietveld, P. (2006). Does accessibility to higher education matter? Choice behavior of high school graduates in the Netherlands. Spatial Economic Analysis, 1(2), 155–164.CrossRef
    Spiess, C. K., & Wrohlich, K. (2010). Does distance determine who attends a university in Germany? Economics of Education Review, 29(3), 470–479.CrossRef
    Verboven, F., & Kelchtermans, S. (2010). Participation and study decisions in a public system of higher education. Journal of Applied Econometrics.
    Wen, C. H., & Koppelman, F. S. (2001). The generalized nested logit model. Transportation Research Part B: Methodological, 35(7), 627–641.CrossRef
    Wilkins, S., Shams, F., & Huisman, J. (2013). The decision-making and changing behavioural dynamics of potential higher education students: The impacts of increasing tuition fees in England. Educational Studies, 39(2), 125–141.CrossRef
  • 作者单位:Claudia Pigini (1)
    Stefano Staffolani (1)

    1. Department of Economics and Social Sciences, Università Politecnica delle Marche, P.le Martelli 8, 60121, Ancona, Italy
  • 刊物类别:Humanities, Social Sciences and Law
  • 刊物主题:Education
    Education
  • 出版者:Springer Netherlands
  • ISSN:1573-174X
文摘
We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status.
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