Artikel

Estimating nonlinear intergenerational income mobility with correlation curves

A correlation curve is introduced as a tool to study the degree of intergenerational income mobility, i.e. how income status is related between parents and adult child. The method overcomes the shortcomings of the elasticity of children's income with respect to parents' income (i.e. its sensitiveness to different dispersion among the generations) and the correlation coefficient (i.e. its inability to capture nonlinearities). The method is particularly suitable for comparative studies and in this study labour earnings are compared to disposable income. The correlation between the parental income and the child's adult disposable income becomes stronger for higher percentiles in the income distribution of the parents. Above the median the correlation is found to be stronger than for labour earnings. Interestingly, the elasticity is higher for labour earnings for most part of the distribution and complementing the elasticity with correlation curves provides a much more complete picture of the intergenerational income mobility.

Sprache
Englisch

Erschienen in
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 13 ; Year: 2019 ; Issue: 2019-7 ; Pages: 1-20 ; Kiel: Kiel Institute for the World Economy (IfW)

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Job, Occupational, and Intergenerational Mobility; Promotion
Thema
intergenerational mobility
nonlinear
nonparametric
correlation curve

Ereignis
Geistige Schöpfung
(wer)
Nilsson, William
Ereignis
Veröffentlichung
(wer)
Kiel Institute for the World Economy (IfW)
(wo)
Kiel
(wann)
2019

DOI
doi:10.5018/economics-ejournal.ja.2019-7
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Nilsson, William
  • Kiel Institute for the World Economy (IfW)

Entstanden

  • 2019

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