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Comparing students by a matching analysis -- on early school leaving in Dutch cities

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  • Kristof De Witte
  • Chris Van Klaveren

Abstract

In case of regional discretionary on the implementation of policy measures, central governments often consider differences in outcomes as an indication that one policy was more effective than another policy. If uniform incentives are provided to motivate regional policy makers, these incentives can be discouraging when the underlying populations differ. Empirically, this study compares early school leaving between the four largest Dutch cities. It shows that considering regional differences as performance measures can be dangerous if differences in population characteristics are not properly taken into account. Methodologically, this study contrasts the use of a traditional probit model with a more advanced iterative matching procedure.

Suggested Citation

  • Kristof De Witte & Chris Van Klaveren, 2012. "Comparing students by a matching analysis -- on early school leaving in Dutch cities," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3679-3690, October.
  • Handle: RePEc:taf:applec:44:y:2012:i:28:p:3679-3690
    DOI: 10.1080/00036846.2011.579069
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    References listed on IDEAS

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    1. Helena Holmlund & Mikael Lindahl & Erik Plug, 2011. "The Causal Effect of Parents' Schooling on Children's Schooling: A Comparison of Estimation Methods," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 615-651, September.
    2. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    3. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    4. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, April.
    5. De Witte, K. & Cabus, S.J., 2010. "Dropout prevention measures in the Netherlands, an evaluation," Working Papers 31, Top Institute for Evidence Based Education Research.
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    Cited by:

    1. Katharina Heisig & Julia Sonnenburg, 2017. "Schulabgänger ohne Abschluss: Wodurch lassen sich die Unterschiede zwischen Ost und Westdeutschland erklären?," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 24(06), pages 07-13, December.
    2. repec:ces:ifodre:v:24:y:2017:i:6:p:07-13 is not listed on IDEAS
    3. Heers, Marieke & Van Klaveren, Chris & Groot, Wim & van den Brink, Henriëtte Maassen, 2014. "The impact of community schools on student dropout in pre-vocational education," Economics of Education Review, Elsevier, vol. 41(C), pages 105-119.
    4. De Witte, Kristof & Geys, Benny & Solondz, Catharina, 2014. "Public expenditures, educational outcomes and grade inflation: Theory and evidence from a policy intervention in the Netherlands," Economics of Education Review, Elsevier, vol. 40(C), pages 152-166.
    5. Van Klaveren, C. & De Wolf, I., 2013. "Systematic Reviews In Education Research: When Do Effect Studies Provide Evidence?," Working Papers 46, Top Institute for Evidence Based Education Research.

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