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Childhood circumstances defining the inequality of opportunity in Europe: what are the trees telling us?

Author

Listed:
  • Ludmila Fadejeva

    (Latvijas Banka)

  • Krista Kalnberzina

    (Latvijas Banka)

Abstract

In this paper, we use boosted forests method to identify the main childhood circumstances associated with inequality of opportunity in Europe. The five main factors that influence income are the education of parents, financial situation of the household, gender, country of birth, and degree of urbanisation. The ranking of those factors differs between countries; however, these top factors are at the highest importance in both 2011 and 2019 at the aggregate level. We show that countries can be grouped into regions by the main factors driving inequality of opportunity - Southern European countries (country of birth), Central European countries (gender and highest education level of a parent), others (highest education level of a parent and financial situation). We also demonstrate that the importance score of various childhood circumstances is associated to the extent to which policies actively tackle these issues at the time of the respondents' childhood. Furthermore, a correlation between reduction in inequality of opportunity between 2011 and 2019 and improvement in education quality and wider social support coupled with improvement in governance effectiveness between 1995-2000 and 2003-2008 is established.

Suggested Citation

  • Ludmila Fadejeva & Krista Kalnberzina, 2024. "Childhood circumstances defining the inequality of opportunity in Europe: what are the trees telling us?," Working Papers 2024/04, Latvijas Banka.
  • Handle: RePEc:ltv:wpaper:202404
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    File URL: https://datnes.latvijasbanka.lv/papers/WP_4-2024.pdf
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    More about this item

    Keywords

    inequality of opportunity; childhood circumstances; inter-generational trans- mission of disadvantages; boosted forest; EU-SILC database;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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