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Choice of School in Australia: Determinants and Consequences

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  • Anh T. Le
  • Paul W. Miller

Abstract

This article examines the determinants of school choice (government, Catholic or other independent schools) as well as the success in completing year 12 for cohorts of students born in 1961 and 1970. The results show that those attending Catholic and other independent schools have favourable socio‐economic backgrounds. Ability has a significant and positive effect on the probability of completing year 12. There is no evidence of unobserved selection effects on the probability of completing year 12 for the 1961 cohort. For the 1970 cohort, there is negative selection into other independent schools and positive selection into Catholic schools. Decomposition results further reveal that selection on the basis of observed characteristics accounts for only a small part of the observed differences in year 12 completion rates across the three school systems. In comparison, selection on the basis of unobserved factors is an important part of the difference in year 12 completion rates. The school effects for both cohorts are much larger than those reported in previous studies.

Suggested Citation

  • Anh T. Le & Paul W. Miller, 2003. "Choice of School in Australia: Determinants and Consequences," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(1), pages 55-78, March.
  • Handle: RePEc:bla:ausecr:v:36:y:2003:i:1:p:55-78
    DOI: 10.1111/1467-8462.00267
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    1. Cramer, J. S. & Ridder, G., 1991. "Pooling states in the multinomial logit model," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 267-272, February.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Miller, Paul W, 1987. "The Wage Effect of the Occupational Segregation of Women in Britain," Economic Journal, Royal Economic Society, vol. 97(388), pages 885-896, December.
    4. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    5. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Barry Chiswick & Paul Miller, 2001. "A model of destination-language acquisition: Application to male immigrants in Canada," Demography, Springer;Population Association of America (PAA), vol. 38(3), pages 391-409, August.
    8. 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.
    9. Francis Vella, 1999. "Do Catholic Schools Make a Difference? Evidence from Australia," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 208-224.
    10. Denise J. Doiron & W. Craig Riddell, 1994. "The Impact of Unionization on Male-Female Earnings Differences in Canada," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 504-534.
    11. repec:bla:ecorec:v:61:y:1985:i:174:p:622-28 is not listed on IDEAS
    12. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    13. O'Higgins, Niall, 1994. "YTS, Employment, and Sample Selection Bias," Oxford Economic Papers, Oxford University Press, vol. 46(4), pages 605-628, October.
    14. Farber, Henry S, 1990. "The Decline of Unionization in the United States: What Can Be Learned from Recent Experience," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 75-105, January.
    15. Nielsen, Helena Skyt, 1998. "Discrimination and detailed decomposition in a logit model," Economics Letters, Elsevier, vol. 61(1), pages 115-120, October.
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    Cited by:

    1. Asadullah, M. Niaz & Maliki,, 2018. "Madrasah for girls and private school for boys? The determinants of school type choice in rural and urban Indonesia," International Journal of Educational Development, Elsevier, vol. 62(C), pages 96-111.
    2. Cardak, Buly A. & Vecci, Joe, 2013. "Catholic school effectiveness in Australia: A reassessment using selection on observed and unobserved variables," Economics of Education Review, Elsevier, vol. 37(C), pages 34-45.
    3. Mohamad Fahmi, 2009. "School Choice and Earnings: A Case of Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 200914, Department of Economics, Padjadjaran University, revised Sep 2009.
    4. Delprato, Marcos & Chudgar, Amita, 2018. "Factors associated with private-public school performance: Analysis of TALIS-PISA link data," International Journal of Educational Development, Elsevier, vol. 61(C), pages 155-172.
    5. Chris Ryan & Louise Watson, 2004. "The Drift to Private Schools in Australia: Understanding its Features," CEPR Discussion Papers 479, Centre for Economic Policy Research, Research School of Economics, Australian National University.

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