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Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003

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Author Info

  • Bratti, Massimiliano

    ()
    (University of Milan)

  • Checchi, Daniele

    ()
    (University of Milan)

  • Filippin, Antonio

    ()
    (University of Milan)

Abstract

In this paper we investigate the existence and the size of territorial differences in Italian students’ mathematical competencies. Our analysis benefits from a new data set that merges the 2003 wave of the OECD Programme for International Student Assessment (PISA) with territorial data collected from several statistical sources and with administrative school data collected by the Italian Ministry of Education. We consider three different groups of educational inputs: individual characteristics (mainly family background), school types and available resources, and territorial features related to labour market, cultural resources and aspirations. In addition to the standard gradient represented by parental education and occupation, we find that student sorting across school types also plays a significant role. Among the local factors measured at province level, we find a significant impact of buildings maintenance and employment probabilities. When accounting for territorial differences, we find that most of the North-South divide (75%) is accounted for by differences in endowments, while the local school production functions account for the remaining fraction.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2603.

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Length: 29 pages
Date of creation: Feb 2007
Date of revision:
Handle: RePEc:iza:izadps:dp2603

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Keywords: education; territorial differences; PISA; students;

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References

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  1. Edward P. Lazear, 1999. "Educational Production," NBER Working Papers 7349, National Bureau of Economic Research, Inc.
  2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
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Cited by:
  1. David Tobón & Germán Darío Valencia Agudelo & Paul Ríos Gallego & John Fredy Bedoya, 2008. "Hierarchical Organization and School Academic Achievement in Medellin: An Analysis from the Educational Production Function," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 68, pages 145-173, Enero-Jun.
  2. Lorenzo Cappellari & Claudio Lucifora & Dario Pozzoli, 2012. "Determinants of grades in maths for students in economics," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 1-17, February.
  3. Natalia Zinovyeva & Florentino Felgueroso & Pablo Vazquez Vega, 2008. "Immigration and Students' Achievement in Spain," Working Papers 2008-37, FEDEA.
  4. Giuseppe Bertola & Paolo Sestito, 2011. "A Comparative Perspective on Italy's Human Capital Accumulation," Quaderni di storia economica (Economic History Working Papers) 06, Bank of Italy, Economic Research and International Relations Area.
  5. Michela Ponzo, 2011. "The effects of school competition on the achievement of Italian students," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 53-61, January.
  6. Gianna Barbieri & Piero Cipollone & Paolo Sestito, 2008. "Labour market for teachers: Demographic characteristics and allocative mechanisms," Temi di discussione (Economic working papers) 672, Bank of Italy, Economic Research and International Relations Area.
  7. Daniele, Vittorio & Malanima, Paolo, 2011. "Are people in the South less intelligent than in the North? IQ and the North–South disparity in Italy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 844-852.
  8. Gabriele BALLARINO & Massimiliano BRATTI, 2006. "Fields of study and graduates? occupational outcomes in Italy during the 90s. Who won and who lost?," Departmental Working Papers 2006-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  9. Bratti, Massimiliano & Checchi, Daniele, 2013. "Re-testing PISA Students One Year Later: On School Value Added Estimation Using OECD-PISA," IZA Discussion Papers 7722, Institute for the Study of Labor (IZA).
  10. Tommaso Agasisti & Sergio Longobardi, 2012. "Inequality in education: can Italian disadvantaged students close the gap? A focus on resilience in the Italian school system," Working Papers 2012/39, Institut d'Economia de Barcelona (IEB).
  11. Adel Ben Youssef & Mounir Dahmani, 2008. "The Impact of ICT on Student Performance in Higher Education: Direct Effects, Indirect Effects and Organisational Change," Post-Print halshs-00936560, HAL.
  12. Ponzo, Michela, 2010. "Does the Way in which Students Use Computers Matter for their Performance?," MPRA Paper 25483, University Library of Munich, Germany.
  13. Manuel Coutinho Pereira & Hugo J. Reis, 2012. "What accounts for Portuguese regional differences in students’ performance? Evidence from OECD PISA," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.

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