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Does School Matter for Educational Achievement? A Two-Way Nested-Error Components Analysis

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  • Montmarquette, Claude
  • Mahseredjian, Sophie

Abstract

School effectiveness is a much-debated question both at an analytical level and as a policy issue. In this paper we used a two-way nested-error components educational production function model to evaluate the relative importance of latent class and school variables in explaining student school achievement. The analysis is carried out with a sample of Montreal francophone public elementary school students. As for the observable variables, the empirical results suggest that the latent class and school variables are negligible with respect to the latent personal and socioeconomic variables. Related policy issues are discussed in the conclusion. Copyright 1989 by John Wiley & Sons, Ltd.

Suggested Citation

  • Montmarquette, Claude & Mahseredjian, Sophie, 1989. "Does School Matter for Educational Achievement? A Two-Way Nested-Error Components Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(2), pages 181-193, April-Jun.
    • Handle: RePEc:jae:japmet:v:4:y:1989:i:2:p:181-93
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    Citations

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    Cited by:

    1. Badi H. BALTAGI & Bernard FINGLETON & Alain PIROTTE, 2014. "Multilevel And Spillover Effects Estimated For Spatial Panel Data, With Application To English House Prices," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 25-36.
    2. Chennouf, Soheïl & Lévy-Garboua, Louis & Montmarquette, Claude, 1997. "Les effets de l’appartenance à un groupe de travail sur les salaires individuels," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 207-232, mars-juin.
    3. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    4. ITA G. G. KREFT & JAN de LEEUW, 1994. "The Gender Gap in Earnings," Sociological Methods & Research, , vol. 22(3), pages 319-341, February.
    5. Linus Holtermann & Christian Hundt, 2018. "Hierarchically structured determinants and phase related patterns of economic resilience. An empirical case study for European regions," Working Papers on Innovation and Space 2018-02, Philipps University Marburg, Department of Geography.
    6. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    7. H. Baltagi, Badi & Heun Song, Seuck & Cheol Jung, Byoung, 2001. "The unbalanced nested error component regression model," Journal of Econometrics, Elsevier, vol. 101(2), pages 357-381, April.
    8. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
    9. Badi Baltagi & Seuck Heun Song & Byoung Cheol Jung, 2002. "Simple Lm Tests For The Unbalanced Nested Error Component Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 167-187.
    10. Ye, Xiaoqing & Wu, Xiangjun, 2014. "Three-dimensional panel data models with interactive effects: Estimation and simulation," Economics Letters, Elsevier, vol. 123(1), pages 62-65.

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