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Abstract

In the Data and analytical strategy chapter, I first describe the data I use and how I handle missing values (Section 5.1). Second, I detail the operationalization of the variables (5.2). Third, I explain the analytical strategy (5.3).

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Change history

  • 01 December 2023

    A correction has been published.

Notes

  1. 1.

    Gesis link for researched macro data: https://doi.org/10.7802/2605.

  2. 2.

    Further information can be provided by the author.

  3. 3.

    Gesis link for the STATA dofiles and R scripts: https://doi.org/10.7802/2603.

  4. 4.

    If possible predictive mean matching (pmm) is used as an imputation method. However, not all imputation models were able to converge with pmm. Therefore, other imputation methods were used as well.

  5. 5.

    Gesis link for the STATA dofiles and R scripts: https://doi.org/10.7802/2603:

  6. 6.

    A sixth item in this item battery (SC167Q05HA: curriculum for foreign languages) is not used because of very weak correlation with all other items.

  7. 7.

    The inclusion of HDI could lead to endogeneity issues because it considers information on schooling and education. However, as the state of research shows, HDI is often used as an explanatory factor for educational outcomes.

  8. 8.

    The inclusion of GII could lead to endogeneity issues because I try to explain gender inequality in competencies with general gender inequality. However, as the state of research shows GII is often used as an explanatory factor for educational outcomes.

  9. 9.

    Gesis link for the STATA dofiles and R scripts: https://doi.org/10.7802/2603.

  10. 10.

    Gesis link for the STATA dofiles and R scripts: https://doi.org/10.7802/2603.

  11. 11.

    Gesis link for the STATA dofiles and R scripts: https://doi.org/10.7802/2603.

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Correspondence to Laura Zapfe .

5.1 Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 24010 kb)

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© 2023 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

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Zapfe, L. (2023). Data and Analytical Strategy. In: The Effect of Education System and School Characteristics on the Gender Gap in Competencies. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-43323-9_5

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  • DOI: https://doi.org/10.1007/978-3-658-43323-9_5

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  • Publisher Name: Springer VS, Wiesbaden

  • Print ISBN: 978-3-658-43322-2

  • Online ISBN: 978-3-658-43323-9

  • eBook Packages: Education and Social Work (German Language)

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