Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital.

Autor/inn/en	Ozkan, Serdar; Song, Jae; Karahan, Fatih
Titel	Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital. Gefälligkeitsübersetzung: Anatomie der Ungleichheit des Lebenseinkommens: Heterogenität des beruflichen Aufstiegsrisikos und des Humankapitals.
Quelle	In: Journal of political economy macroeconomics, 1 (2023) 3, S. 506-550 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2832-9341
DOI	10.1086/725790
Schlagwörter	Soziale Ungleichheit; Lernfähigkeit; Determinante; Einkommensunterschied; Humankapital; Einkommensentwicklung; Kapital; Lebenseinkommen; Arbeitslosigkeit; Arbeitsmarktchance; Arbeitsmarktrisiko; Arbeitsplatzwechsel; Beruflicher Aufstieg; Erwerbstätiger; On-the-Job-Training; Akkumulation; Mann; USA
Abstract	"We study the determinants of lifetime earnings (LE) inequality in the U.S. by focusing on latent heterogeneity in job ladder dynamics and on-the-job learning as sources of wage growth differentials. Using administrative data, we finde (i) more frequent job switches among lower LE workers, mainly driven by nonemployment spells, (II) little heterogeneity in average annual earnings growth of job stayers in the bottom two-thirds of the LE distribution, and (iii) an earnings growth for job switchers that rises strongly with LE. We estimate a structural model featuring a rich set of worker types and firm heterogeneity. We find vast differences in ex-ante job ladder risk - job loss, job finding, and contact rates - across workers. These differences account for 75% of the lifetime wage growth differential among the bottom half of the LE distritubtion. Above the median, almost all lifetime wage growth differences are a result of Pareto-distributed learning ability." The study refers to the period 1978-2013. (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/1