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SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions.
AbstractTheory suggests that subjective well-being is affected by income comparisons and adaptation to income.Empirical tests of the effects often rely on self-constructed measures from survey data. This paper shows that results can be highly sensitive to simple parameter changes. Using large-scale panel data from Germany and the UK, I report cases where plausible variations in the underlying income type substantially affect tests of the relationship between life satisfaction, income rank, reference income, and income adaptation. Models simultaneously controlling for income and income rank as well as models with a number of income lags are prone to imperfect multicollinearity with consequences for the precision and robustness of estimates. When testing relative-income effects, researchers should be aware that reference income constructed as average of a rather arbitrarily defined reference group and reference income predicted from Mincer-type earnings equations are two approaches that can produce inconsistent results, and that are probably n...