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The long term evolution of inequality of opportunity

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  • Maurizio Bussolo
  • Daniele Checchi
  • Vito Peragine

Abstract

This paper uses a parametric approach to measure inequality of opportunities. It builds a simple theoretical model offering predictions on the changes of inequality of opportunity. It is expected to decline with the decline in intergenerational persistence in education, in the labour market return to education and in the networking activity associated to parental background; these predictions are then taken to the data. The empirical analysis studies the evolving distribution in personal disposable incomes in five European countries (Italy, Germany, France, Great Britain and Switzerland) over a long time span. Thanks to extended samples, time trends show that the role of circumstances (parental background, gender age and place of birth) in shaping income distribution has declined over the last two decades in all countries considered. Depending on the inequality index, the inequality of opportunity (IOp) account between one third (MLD) and half (standard deviation of logs) of total inequality in personal disposable incomes. Inequality trends are then decomposed into age profiles and birth cohort changes. Inequality of opportunity exhibits an inverted U-shaped pattern over the life cycle. Moreover, the most recent age cohorts have experienced a lower IOp, thus appearing as the main beneficiaries of the overall decline in inequality. When interpreting thee observed dynamics, two parameters (intergenerational persistence in educational attainment and return of education) exhibit a declining trend, whereas the third one (networking activity of parents) is rising in most countries. The combined effect of the three movements yields a declining trend whenever the former twos dominate the latter.

Suggested Citation

  • Maurizio Bussolo & Daniele Checchi & Vito Peragine, 2018. "The long term evolution of inequality of opportunity," LIS Working papers 730, LIS Cross-National Data Center in Luxembourg.
  • Handle: RePEc:lis:liswps:730
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    3. Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2021. "The distribution of wealth in Spain and the USA: the role of socioeconomic factors," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 389-421, September.
    4. Kishan P K V, 2018. "Is the Past Still Holding Us Back? A Study on Intergenerational Education Mobility in India (revised as on 26.09.18)," IIMA Working Papers WP 2018-01-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2019. "The distribution of wealth in the U.S. and Spain: the role of socio-economic factors," Working Papers 506, ECINEQ, Society for the Study of Economic Inequality.
    6. Gassmann, Franziska & Martorano, Bruno, 2019. "The future of work and its implications for social protection and the welfare state," MERIT Working Papers 2019-039, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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    More about this item

    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
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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