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An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schools

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  • Joseph G. Altonji
  • Todd E. Elder
  • Christopher R. Taber

Abstract

Several previous studies have relied on religious affiliation and the proximity to Catholic schools as exogenous sources of variation for identifying the effect of Catholic schooling on a wide variety of outcomes. Using three separate approaches, we examine the validity of these instrumental variables. We find that none of the candidate instruments is a useful source of identification of the Catholic school effect, at least in currently available data sets

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:9358
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    References listed on IDEAS

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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. 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.
    3. Christopher Jepsen, 2003. "The Effectiveness of Catholic Primary Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
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    5. Richard J. Murnane, 1984. "A Review Essay-Comparisons of Public and Private Schools: Lessons from the Uproar," Journal of Human Resources, University of Wisconsin Press, vol. 19(2), pages 263-277.
    6. David Card & Alan Krueger, 1994. "The Economic Return to School Quality: A Partial Survey," Working Papers 713, Princeton University, Department of Economics, Industrial Relations Section..
    7. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    8. Joseph G. Altonji & Rosa L. Matzkin, 2001. "Panel Data Estimators for Nonseparable Models with Endogenous Regressors," NBER Technical Working Papers 0267, National Bureau of Economic Research, Inc.
    9. Currie, Janet & Thomas, Duncan, 1995. "Does Head Start Make a Difference?," American Economic Review, American Economic Association, vol. 85(3), pages 341-364, June.
    10. Witte, John F., 1992. "Private school versus public school achievement: Are there findings that should affect the educational choice debate?," Economics of Education Review, Elsevier, vol. 11(4), pages 371-394, December.
    11. David Card & Alan B. Krueger, 1994. "The Economic Return to School Quality: A Partial Survey," Working Papers 713, Princeton University, Department of Economics, Industrial Relations Section..
    12. Taber, Christopher R., 2000. "Semiparametric identification and heterogeneity in discrete choice dynamic programming models," Journal of Econometrics, Elsevier, vol. 96(2), pages 201-229, June.
    13. Udry, Christopher, 1996. "Gender, Agricultural Production, and the Theory of the Household," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1010-1046, October.
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    15. Derek Neal, 1995. "The Effect of Catholic Secondary Schooling on Educational Attainment," NBER Working Papers 5353, National Bureau of Economic Research, Inc.
    16. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    17. Caroline Minter Hoxby, 1994. "Do Private Schools Provide Competition for Public Schools?," NBER Working Papers 4978, National Bureau of Economic Research, Inc.
    18. Bronars, Stephen G & Grogger, Jeff, 1994. "The Economic Consequences of Unwed Motherhood: Using Twin Births as a Natural Experiment," American Economic Review, American Economic Association, vol. 84(5), pages 1141-1156, December.
    19. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    20. Joshua D. Angrist, 1991. "Instrumental Variables Estimation of Average Treatment Effects in Econometrics and Epidemiology," NBER Technical Working Papers 0115, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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