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Institutional Determinants of School Efficiency and Equity: German States as a Microcosm for OECD Countries

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  • Woessmann Ludger

    (Center for Economic Studies, University of Munich and Ifo Institute for Economic Research, Poschingerstr. 5, 81679 Munich, Germany; CESifo and IZA)

Abstract

Cross-country evidence on student achievement might be hampered by omitted country characteristics such as language or legal differences. This paper uses cross-state variation in Germany, whose sixteen states share the same language and legal system, but pursue different education policies. Education production function models are estimated using state-level PISA-E data, where possible pooling three subjects and three waves to obtain up to 138 test-score observations. The same results found previously across countries hold within Germany:Higher mean student performance is associated with central exams, private school operation, and socio-economic background, but not with spending, while higher equality of opportunity is associated with reduced tracking. In models that pool German states with OECD countries and combine up to 54 state and country observations, these institutional determinants do not differ significantly between the sample of German states and the sample of OECD countries, indicating that the existing cross-country evidence is not substantially biased by unobserved country-specific factors.

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  • Woessmann Ludger, 2010. "Institutional Determinants of School Efficiency and Equity: German States as a Microcosm for OECD Countries," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 234-270, April.
  • Handle: RePEc:jns:jbstat:v:230:y:2010:i:2:p:234-270
    DOI: 10.1515/jbnst-2010-0206
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    Cited by:

    1. Pietro Sancassani, 2023. "Determinants and Consequences of Student Test Scores: Evidence from International, Big, and Text Data," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 102.
    2. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    3. Ludger Woessmann, 2018. "Central exit exams improve student outcomes," IZA World of Labor, Institute of Labor Economics (IZA), pages 419-419, January.
    4. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    5. Piopiunik, Marc & Schwerdt, Guido & Woessmann, Ludger, 2013. "Central school exit exams and labor-market outcomes," European Journal of Political Economy, Elsevier, vol. 31(C), pages 93-108.
    6. Meyer, Tobias & Thomsen, Stephan L., 2012. "How Important is Secondary School Duration for Post-school Education Decisions? Evidence from a Natural Experiment," Hannover Economic Papers (HEP) dp-509, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Eric A. Hanushek & Lavinia Kinne & Pietro Sancassani & Ludger Woessmann, 2023. "Can Patience Account for Subnational Differences in Student Achievement? Regional Analysis with Facebook Interests," CESifo Working Paper Series 10660, CESifo.
    8. Betts, Julian R., 2011. "The Economics of Tracking in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 7, pages 341-381, Elsevier.
    9. Helge Arends, 2017. "Equal Living Conditions vs. Cultural Sovereignty? Federalism Reform, Educational Poverty and Spatial Inequalities in Germany," Publius: The Journal of Federalism, CSF Associates Inc., vol. 47(4), pages 673-706.
    10. Ana B. Ruiz & Mariano Luque & Oscar D. Marcenaro-Gutierrez, 2022. "On the use of Synthetic Indexes Based on Multi-Criteria Decision Making to Study the Efficiency of Teachers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1269-1300, October.
    11. Ludger Wößmann, 2011. "Wettbewerb durch öffentliche Finanzierung von Schulen in freier Trägerschaft als wichtiger Ansatzpunkt zur Verbesserung des Schulsystems," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(01), pages 09-18, January.
    12. Philipp Mandel & Bernd Süssmuth, 2011. "Total Instructional Time Exposure and Student Achievement: An Extreme Bounds Analysis Based on German State-Level Variation," CESifo Working Paper Series 3580, CESifo.
    13. Maria A. Cattaneo & Chantal Oggenfuss & Stefan C. Wolter, 2017. "The more, the better? The impact of instructional time on student performance," Education Economics, Taylor & Francis Journals, vol. 25(5), pages 433-445, September.
    14. Luis Alejandro Lopez–Agudo & Oscar Marcenaro–Gutierrez, 2019. "Are Spanish Children Taking Advantage of their Weekly Classroom Time?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(1), pages 187-211, February.
    15. Bauer, Philipp C. & Riphahn, Regina T., 2013. "Institutional determinants of intergenerational education transmission — Comparing alternative mechanisms for natives and immigrants," Labour Economics, Elsevier, vol. 25(C), pages 110-122.
    16. Contini, Dalit & Cugnata, Federica, 2016. "Learning inequalities between primary and secondary school. Difference-in-difference with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201607, University of Turin.
    17. Piopiunik, Marc, 2014. "The effects of early tracking on student performance: Evidence from a school reform in Bavaria," Economics of Education Review, Elsevier, vol. 42(C), pages 12-33.
    18. Miroslava Federičová & Filip Pertold & Michael L. Smith, 2018. "Children left behind: self-confidence of pupils in competitive environments," Education Economics, Taylor & Francis Journals, vol. 26(2), pages 145-160, March.
    19. Contini, Dalit, 2014. "Cross-sectional learning assessments: comparability of regression coefficients and validity of difference-in-difference estimation to evaluate institutional effects," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201431, University of Turin.
    20. Riphahn, Regina T. & Trübswetter, Parvati, 2011. "The intergenerational transmission of educational attainment in East and West Germany," IAB-Discussion Paper 201104, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Contini, Dalit & Cugnata, Federica, 2020. "Does Early Tracking Affect Learning Inequalities? Revisiting Difference-in-difference Modeling Strategies with International Assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202018, University of Turin.
    22. Luis Alejandro López-Agudo & Óscar D. Marcenaro Gutiérrez, 2019. "The Effect of Weekly Instruction Time on Academic Achievement: The Spanish Case," Hacienda Pública Española / Review of Public Economics, IEF, vol. 230(3), pages 63-93, September.
    23. Miriam Maeder, 2014. "State-level heterogeneity in returns to secondary schooling in West Germany," Working Papers 147, Bavarian Graduate Program in Economics (BGPE).
    24. Contini, Dalit & Cugnata, Federica, 2018. "How do institutions affect learning inequalities? Revisiting difference-in-difference models with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201817, University of Turin.
    25. HINDRIKS, Jean & VERSCHELDE, Marijn & RAYP, Glenn & SCHOORS, Koen, 2010. "School autonomy and educational performance: within-country evidence," LIDAM Discussion Papers CORE 2010082, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    More about this item

    Keywords

    Student performance; PISA; Germany; education production function; institutional effects in schooling;
    All these keywords.

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • L38 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Policy
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J - Labor and Demographic Economics

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