Cross-National Estimates of the Intergenerational Mobility in Earnings
AbstractThis paper examines the similarity in the association between earnings of sons and fathers in Germany and the United States. It relaxes the log-linear functional form imposed in most studies of the intergenerational earnings association. Theory implies the relationship between earnings of fathers and sons could be nonlinear, especially at the tails of the distribution of earnings of fathers. When a more flexible function form is fit to the data, the apparent similarity between Germany and the United States disappears. Relative to mobility in Germany, upward mobility is higher in the United States for sons with the poorest fathers and downward mobility is lower for sons with fathers with high earnings.
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Bibliographic InfoArticle provided by DIW Berlin, German Institute for Economic Research in its journal Vierteljahrshefte zur Wirtschaftsforschung.
Volume (Year): 70 (2001)
Issue (Month): 1 ()
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- Schnitzlein, Daniel, 2008. "Verbunden über Generationen: Struktur und Ausmaß der intergenerationalen Einkommensmobilität in Deutschland (Structure and extent of intergenerational income mobility in Germany)," IAB Discussion Paper 200801, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Nguyen, Anh & Getinet, Haile, 2003. "Intergenerational mobility in educational and occupational status: evidence from the U.S," MPRA Paper 1383, University Library of Munich, Germany.
- Daniel D. Schnitzlein, 2008. "Verbunden über Generationen: Struktur und Ausmaß der intergenerationalen Einkommensmobilität in Deutschland," SOEPpapers on Multidisciplinary Panel Data Research 80, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Thomas Cornelissen & Uwe Jirjahn & Georgi Tsertsvadze, 2008. "Parental Background and Earnings: German Evidence on Direct and Indirect Relationship," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(5+6), pages 554-572, December.
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