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The Effect of Family Background on Student Effort

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  • Zöe Kuehn
  • Pedro Landeras

Abstract

In this paper, we propose an intuitive way of how to measure residential segregation. Individuals are located in different nodes on a network that are interconnected through links. Each period, an individual either advances to an adjacent node or she stops moving. In this setting, the segregation index is then defined as the probability that a randomly chosen individual meets an individual of the same social group in the neighborhood where her random-walk terminates. It is shown in a dual theorem that the segregation index is as a natural generalization of the isolation index to networks and that it is proportional to the PageRank index applied by Google in order to determine the importance of web-pages. Finally, the segregation index is applied to the Spanish 2009 census tract data and compared with other prominent measures.

Suggested Citation

  • Zöe Kuehn & Pedro Landeras, 2010. "The Effect of Family Background on Student Effort," Working Papers 2010-31, FEDEA.
  • Handle: RePEc:fda:fdaddt:2010-31
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    Cited by:

    1. Niaz Asadullah & Alain Trannoy & Sandy Tubeuf & Gaston Yalonetzky, 2018. "Fair and unfair educational inequality in a developing country: The role of pupil’s effort," Working Papers 474, ECINEQ, Society for the Study of Economic Inequality.
    2. Asadullah, M. Niaz & Trannoy, Alain & Tubeuf, Sandy & Yalonetzky, Gaston, 2021. "Measuring educational inequality of opportunity: pupil’s effort matters," World Development, Elsevier, vol. 138(C).
    3. Kuehn, Zoe & Landeras, Pedro, 2012. "Study Time and Scholarly Achievement in PISA," Working Papers 2012-02, FEDEA.
    4. Michaelis, Jochen & Schwanebeck, Benjamin, 2016. "Examination rules and student effort," Economics Letters, Elsevier, vol. 145(C), pages 65-68.
    5. Bertola, Giuseppe, 2021. "Exam precision and learning effort," Economics Letters, Elsevier, vol. 207(C).
    6. Cantillon, B. & De Ridder, A. & Vanhaecht, E. & Verbist, G., 2011. "(Un)desirable effects of output funding for Flemish universities," Economics of Education Review, Elsevier, vol. 30(5), pages 1059-1072, October.
    7. Eleonora Matteazzi & Martina Menon & Federico Perali, 2021. "Do Boys and Girls Perform Better at Math Just Studying More ?," CHILD Working Papers Series 96 JEL Classification: I2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.

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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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