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Are Catholic primary schools more effective than public primary schools?

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  • Elder, Todd
  • Jepsen, Christopher

Abstract

This paper assesses the causal effects of Catholic primary schooling on student outcomes such as test scores, grade retention, and behavior. Catholic school students have substantially better average outcomes than do public school students throughout the primary years, but we present evidence that selection bias is entirely responsible for these advantages. Estimates based on several empirical strategies, including an approach developed by Altonji et al. (2005a) to use selection on observables to assess the bias arising from selection on unobservables, imply that Catholic schools do not appreciably boost test scores. All of the empirical strategies point to sizeable negative effects of Catholic schooling on mathematics achievement. Similarly, we find very little evidence that Catholic schooling improves behavioral and other non-cognitive outcomes once we account for selection on unobservables.

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  • Elder, Todd & Jepsen, Christopher, 2014. "Are Catholic primary schools more effective than public primary schools?," Journal of Urban Economics, Elsevier, vol. 80(C), pages 28-38.
  • Handle: RePEc:eee:juecon:v:80:y:2014:i:c:p:28-38
    DOI: 10.1016/j.jue.2013.10.001
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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    3. Margo Coleman & Thomas DeLeire, 2003. "An Economic Model of Locus of Control and the Human Capital Investment Decision," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    4. William Sander, 1996. "Catholic Grade Schools and Academic Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 540-548.
    5. Cohen-Zada, Danny & Elder, Todd, 2009. "Historical religious concentrations and the effects of Catholic schooling," Journal of Urban Economics, Elsevier, vol. 66(1), pages 65-74, July.
    6. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    7. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    8. Christopher Jepsen, 2003. "The Effectiveness of Catholic Primary Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
    9. Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
    10. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    11. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    12. Thomas S. Dee & Brian Jacob, 2011. "The impact of no Child Left Behind on student achievement," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(3), pages 418-446, June.
    13. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    14. Merve Cebi, 2007. "Locus of Control and Human Capital Investment Revisited," Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
    15. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 791-821.
    16. Neal, Derek, 1997. "The Effects of Catholic Secondary Schooling on Educational Achievement," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 98-123, January.
    17. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    2. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    3. Pierre Lefebvre & Philip Merrigan, 2022. "Why Subsidize Independent Schools? Estimating the Effect of a Unique Canadian Schooling Model on Educational Attainment," Mathematics, MDPI, vol. 10(4), pages 1-22, February.
    4. Gihleb, Rania & Giuntella, Osea, 2017. "Nuns and the effects of catholic schools. Evidence from Vatican II," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 191-213.
    5. M. Niaz Asadullah, 2016. "The Effect Of Islamic Secondary School Attendance On Academic Achievement," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    6. Thérèse McDonnell & Orla Doyle, 2014. "Maternal Employment, childcare and childhood overweight during infancy," Working Papers 201411, Geary Institute, University College Dublin.
    7. Ebrahim Azimi & Jane Friesen & Simon Woodcock, 2023. "Private Schools and Student Achievement," Education Finance and Policy, MIT Press, vol. 18(4), pages 623-653, Fall.
    8. Ha Trong Nguyen & Luke B. Connelly & Huong Thu Le & Francis Mitrou & Catherine L. Taylor & Stephen R. Zubrick, 2020. "Ethnicity differentials in academic achievements: the role of time investments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1381-1418, October.
    9. Ahn, Taehyun & Goh, Young-Geun, 2021. "The long-term influences of ability mixing on soft skills," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 367-386.
    10. McKendrick, Andrew & Walker, Ian, 2020. "The Role of Faith and Faith Schooling in Educational, Economic, and Faith Outcomes," IZA Discussion Papers 13192, Institute of Labor Economics (IZA).
    11. Chris Sakellariou, 2016. "The “true” private school effect across countries using PISA-2012 Mathematics," Economic Growth Centre Working Paper Series 1605, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    12. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    13. D. Mark Anderson & Mary Beth Walker, 2015. "Does Shortening the School Week Impact Student Performance? Evidence from the Four-Day School Week," Education Finance and Policy, MIT Press, vol. 10(3), pages 314-349, July.
    14. Nghiem, Son & Nguyen, Ha & Connelly, Luke, 2014. "The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011," MPRA Paper 56231, University Library of Munich, Germany.
    15. Krafft, Caroline & Elbadawy, Asmaa & Sieverding, Maia, 2019. "Constrained school choice in Egypt," International Journal of Educational Development, Elsevier, vol. 71(C).
    16. Sarah Cornell-Farrow & Robert Garrard, 2018. "Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia," Papers 1807.07215, arXiv.org, revised Jan 2020.
    17. Nghiem, Hong Son & Nguyen, Ha Trong & Khanam, Rasheda & Connelly, Luke B., 2015. "Does school type affect cognitive and non-cognitive development in children? Evidence from Australian primary schools," Labour Economics, Elsevier, vol. 33(C), pages 55-65.
    18. Ha Trong Nguyen, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," Bankwest Curtin Economics Centre Working Paper series WP1507, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    19. Wodon, Quentin, 2022. "Global report on integral human development 2022: measuring the contributions of Catholic and other faith-based organizations to education, healthcare, and social protection," MPRA Paper 114809, University Library of Munich, Germany.

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    More about this item

    Keywords

    Catholic schools; Achievement; Selection bias;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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