IDEAS home Printed from https://ideas.repec.org/p/lan/wpaper/565730.html
   My bibliography  Save this paper

The estimated effect of Catholic schooling on educational outcomes using propensity score matching

Author

Listed:
  • A N Nguyen
  • J Taylor
  • S Bradley

Abstract

Attendance at Catholic high schools is estimated to improve math test scores and to increase high school graduation rates and enrolment in 4-year college. Propensity score matching methods are used to obtain these estimated effects, based on data from the National Educational Longitudinal Study. Since selection into Catholic schools is non-random, matching methods help to overcome the problem of choosing instruments for identifying the Catholic school effect on educational outcomes. The difference-in-differences approach is used on test score data in order to control for fixed unobservable influences on outcomes.

Suggested Citation

  • A N Nguyen & J Taylor & S Bradley, 2005. "The estimated effect of Catholic schooling on educational outcomes using propensity score matching," Working Papers 565730, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:565730
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. Dee, Thomas S., 1998. "Competition and the quality of public schools," Economics of Education Review, Elsevier, vol. 17(4), pages 419-427, October.
    3. 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.
    4. 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.
    5. William Sander, 2000. "Parochial Schools and Student Achievement: Findings for Older Adults," Education Economics, Taylor & Francis Journals, vol. 8(3), pages 259-268.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Donata Bessey & Uschi Backes-Gellner, 2008. "Dropping out and revising educational decisions: Evidence from vocational education," Economics of Education Working Paper Series 0040, University of Zurich, Department of Business Administration (IBW).
    2. 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.
    3. 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.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Danny Cohen Zada, 2007. "An Alternative Instrument for Private School Competition," Working Papers 0705, Ben-Gurion University of the Negev, Department of Economics.
    2. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. 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.
    5. Ragnvid, Beatrice Schindler, 2003. "Evaluating Private School Quality in Denmark," Working Papers 03-2, University of Aarhus, Aarhus School of Business, Department of Economics.
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    8. Berkowitz, Daniel & Hoekstra, Mark, 2011. "Does high school quality matter? Evidence from admissions data," Economics of Education Review, Elsevier, vol. 30(2), pages 280-288, April.
    9. Giorgio Di Pietro & Andrea Cutillo, 2006. "Does Attending a Catholic School Make a Difference? Evidence From Italy," Bulletin of Economic Research, Wiley Blackwell, vol. 58(3), pages 193-234, July.
    10. NONNEMAN, Walter, 2012. "School achievement and failure of immigrant children in Flanders," Working Papers 2012008, University of Antwerp, Faculty of Business and Economics.
    11. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    12. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    13. Mariapia Mendola, 2003. "Agricultural Technology and Povertry Reduction: A Micro-Level Analysis of Causal Effects," Development Working Papers 179, Centro Studi Luca d'Agliano, University of Milano.
    14. Haeck, Catherine & Lefebvre, Pierre & Merrigan, Philip, 2014. "The distributional impacts of a universal school reform on mathematical achievements: A natural experiment from Canada," Economics of Education Review, Elsevier, vol. 41(C), pages 137-160.
    15. Billger, Sherrilyn M., 2009. "On reconstructing school segregation: The efficacy and equity of single-sex schooling," Economics of Education Review, Elsevier, vol. 28(3), pages 393-402, June.
    16. Mariapia MENDOLA, 2005. "Agricultural technology and poverty reduction: a micro-level analysis of causal effects," Departmental Working Papers 2005-14, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    17. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    18. Wright, Christopher, 2006. "Estimating the Effect of the Chesapeake Bay Program on Application Rates for Enrollment in the Environmental Quality Incentive Program: A Case Study of Pennsylvania," 2006 Annual meeting, July 23-26, Long Beach, CA 21164, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    20. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lan:wpaper:565730. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Giorgio Motta (email available below). General contact details of provider: https://edirc.repec.org/data/delanuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.