Arbeitspapier

Inequality in current and lifetime income

Standard theory of intertemporal choice predicts that people smooth out life-cycle changes in income by borrowing and saving, such that their standard of living in any given year depends more on lifetime income than on that year's income. Yet, contemporary empirical studies of income inequality are typically based on observations of income for one or a few years. This empirical simplification is due to the simple fact that researchers seldom have access to data on long-run or lifetime income. In this paper, we exploit a unique data set with nearly career-long income histories to provide novel evidence on inequality in current and lifetime income. We apply these results to assess the role of so-called life-cycle bias in empirical analysis of income inequality that uses current income variables as proxies for lifetime income. Our results suggest that income inequality increases over the working lifespan, and inequality in current income at age 60 is more than twice the inequality in lifetime income. Another key finding is that inequality in lifetime income is much lower than what cross-sectional estimates of inequality suggest. This means that we may need to reconsider how unequal individuals' living standard actually is.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 726

Klassifikation
Wirtschaft
Personal Income, Wealth, and Their Distributions
General Welfare; Well-Being
Thema
Income inequality
lifetime income
current income
life-cycle

Ereignis
Geistige Schöpfung
(wer)
Aaberge, Rolf
Mogstad, Magne
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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

Objekttyp

  • Arbeitspapier

Beteiligte

  • Aaberge, Rolf
  • Mogstad, Magne
  • Statistics Norway, Research Department

Entstanden

  • 2012

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