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Sequential probit modelling of family and community effects on educational progress among children to Polish and Turkish immigrants in Sweden


  • Gebrenegus Ghilagaber


  • Paraskevi Peristera



We explore effects of individual, family, and neighborhood effects on educational progress. The statistical model used is a multilevel sequential probit model. Such formulation allows the covariate-effects to vary across different educational levels. Results based on about 2,100 children whose parents are either native Swedes or migrants from Poland or Turkey provide new insights with regard to differentials in educational progress across background varaiables. Among others, we find that parental education is a strong predictor of educational progress at all levels. On the other hand, while family structure, family economy, and ethinic background are strongly correlated to educational progress at lower levels, their effect diminishes at higher levels of education. Possible exaplanations and implications of the results are presented. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Gebrenegus Ghilagaber & Paraskevi Peristera, 2014. "Sequential probit modelling of family and community effects on educational progress among children to Polish and Turkish immigrants in Sweden," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3243-3252, November.
  • Handle: RePEc:spr:qualqt:v:48:y:2014:i:6:p:3243-3252
    DOI: 10.1007/s11135-013-9953-y

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    References listed on IDEAS

    1. Daisuke Nagakura, 2004. "A Note on the Relationship of the Ordered and Sequential Probit Models to the Multinomial Probit Model," Economics Bulletin, AccessEcon, vol. 3(40), pages 1-7.
    2. Patrick Waelbroeck, 2005. "Computational Issues in the Sequential Probit Model: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 141-161, October.
    3. Anne McDaniel, 2013. "Parental Education and the Gender Gap in University Completion in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(3), pages 71-84, July.
    4. Amemiya, Takeshi, 1978. "The Estimation of a Simultaneous Equation Generalized Probit Model," Econometrica, Econometric Society, vol. 46(5), pages 1193-1205, September.
    5. Michael J. Brien & Lee A. Lillard, 1994. "Education, Marriage, and First Conception in Malaysia," Journal of Human Resources, University of Wisconsin Press, vol. 29(4), pages 1167-1204.
    6. Patrick Waelbroeck, 2005. "Computational issues in the sequential probit model: A Monte Carlo study," ULB Institutional Repository 2013/165966, ULB -- Universite Libre de Bruxelles.
    7. Munkin, Murat K., 2011. "The Endogenous Sequential Probit model: An application to the demand for hospital utilization," Economics Letters, Elsevier, vol. 112(2), pages 182-185, August.
    8. Dawn Upchurch & Lee Lillard & Constantijn Panis, 2002. "Nonmarital childbearing: Influences of education, marriage, and fertility," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 311-329, May.
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