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The Estimated Effect Of Catholic Schooling On Educational Outcomes Using Propensity Score Matching

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  • Anh Ngoc Nguyen
  • Jim Taylor
  • Steve Bradley

Abstract

This paper examines the effect of attending a Catholic high school on educational outcomes. The statistical analysis is based on data obtained from the US National Educational Longitudinal Study. Using propensity score matching methods to control for selection bias, we find that Catholic schooling improves maths test scores, with stronger effects for males than for females, but appears to have little effect (if any) on reading scores. Catholic schooling also raises high school graduation rates and substantially increases the likelihood of enrolment in a 4‐year college. Use of the difference‐in‐difference method suggests that the effect of Catholic schooling on changes in maths scores is more muted, though still statistically significant.

Suggested Citation

  • Anh Ngoc Nguyen & Jim Taylor & Steve Bradley, 2006. "The Estimated Effect Of Catholic Schooling On Educational Outcomes Using Propensity Score Matching," Bulletin of Economic Research, Wiley Blackwell, vol. 58(4), pages 285-307, October.
  • Handle: RePEc:bla:buecrs:v:58:y:2006:i:4:p:285-307
    DOI: 10.1111/j.0307-3378.2006.00245.x
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    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. Sander, William & Krautmann, Anthony C, 1995. "Catholic Schools, Dropout Rates and Educational Attainment," Economic Inquiry, Western Economic Association International, vol. 33(2), pages 217-233, April.
    4. Dee, Thomas S., 1998. "Competition and the quality of public schools," Economics of Education Review, Elsevier, vol. 17(4), pages 419-427, October.
    5. 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.
    6. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    7. Petra E. Todd & Jeffrey A. Smith, 2001. "Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods," American Economic Review, American Economic Association, vol. 91(2), pages 112-118, May.
    8. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2002. "An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schools," NBER Working Papers 9358, National Bureau of Economic Research, Inc.
    9. William Sander, 2000. "Parochial Schools and Student Achievement: Findings for Older Adults," Education Economics, Taylor & Francis Journals, vol. 8(3), pages 259-268.
    10. 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.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    12. Goldhaber, Dan D., 1996. "Public and private high schools: Is school choice an answer to the productivity problem?," Economics of Education Review, Elsevier, vol. 15(2), pages 93-109, April.
    13. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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    2. Léonard Moulin, 2023. "Do private schools increase academic achievement? Evidence from France," Education Economics, Taylor & Francis Journals, vol. 31(2), pages 247-274, March.
    3. Daša Farčnik & Polona Domadenik, 2012. "Has the Bologna reform enhanced the employability of graduates? Early evidence from Slovenia," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 51-75, March.
    4. Bessey Donata & Backes-Gellner Uschi, 2015. "Staying Within or Leaving the Apprenticeship System? Revisions of Educational Choices in Apprenticeship Training," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 539-552, December.
    5. Chung-Hua Shen & Yuan Chang, 2012. "Corporate Social Responsibility, Financial Performance and Selection Bias: Evidence from Taiwan’s TWSE-listed Banks," Chapters, in: James R. Barth & Chen Lin & Clas Wihlborg (ed.), Research Handbook on International Banking and Governance, chapter 25, Edward Elgar Publishing.

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