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How to measure and proxy permanent income: evidence from Germany and the U.S.
David Brady1,2 - Personal Name
Marco Giesselmann3,4 · - Personal Name
Ulrich Kohler5 - Personal Name
Anke Radenacker6 - Personal Name
highly relevant to the study of inequality. Nevertheless, there has been insufficient progress
in measuring PI. We calculate a novel measure of PI with the German Socio-Economic
Panel (SOEP) and U.S. Panel Study of Income Dynamics (PSID). Advancing beyond
prior approaches, we define PI as the logged average of 20+ years of post-tax and posttransfer
(“post-fisc”) real equivalized household income. We then assess how well various
household- and individual-based measures of economic resources proxy PI. In both datasets,
post-fisc household income is the best proxy. One random year of post-fisc household
income explains about half of the variation in PI, and 2–5 years explain the vast majority
of the variation. One year of post-fisc HH income even predicts PI better than 20+
years of individual labor market earnings or long-term net worth. By contrast, earnings,
wealth, occupation, and class are weaker and less cross-nationally reliable proxies for PI.
We also present strategies for proxying PI when HH post-fisc income data are unavailable,
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s Income ·
· Permanent income
· Lifetime income ·
· Measurement
Longitudinal and panel data
Social class
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