2020
DOI: 10.1016/j.jebo.2020.06.003
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People do not adapt. New analyses of the dynamic effects of own and reference income on life satisfaction

Abstract: Do people adapt to changes in income? In contradiction to much of the previous literature, I find no evidence of adaptation to income in GSOEP (1984-2015) and UKHLS (1996-2017) data. Furthermore, I find that people also do not adapt to changes in reference income. Instead, reference income effects may be subject to reinforcement over time. Following the empirical approach of Vendrik (2013), I obtain these findings by estimating life satisfaction equations in which contemporaneous and lagged terms for a respond… Show more

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Cited by 15 publications
(11 citation statements)
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References 55 publications
(88 reference statements)
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“…This result contrasts sharply with the previous literature, which documents a strong positive effect of incomes on mental health, happiness, and life satisfaction across and within persons (Gardner & Oswald, 2007;Layard et al, 2008;Vendrik 2013;Jebb et al, 2018;Kaiser, 2020). However, our results do agree with Kushlev et al, (2015) and Stone et al, (2018) who also use ATUS data on happiness.…”
Section: Subgroup Analysis Of Historical Trends In Time-weighted Happinesscontrasting
confidence: 99%
“…This result contrasts sharply with the previous literature, which documents a strong positive effect of incomes on mental health, happiness, and life satisfaction across and within persons (Gardner & Oswald, 2007;Layard et al, 2008;Vendrik 2013;Jebb et al, 2018;Kaiser, 2020). However, our results do agree with Kushlev et al, (2015) and Stone et al, (2018) who also use ATUS data on happiness.…”
Section: Subgroup Analysis Of Historical Trends In Time-weighted Happinesscontrasting
confidence: 99%
“…By the same logic, the controls at time t − k (for k >0) can also be correlated with major financial shocks at time t − k . When we consider the relations between past financial profiles and current well‐being, not controlling for lags in the controls can produce omitted‐variable bias (Ferrer‐i‐Carbonell and Van Praag, 2008; Vendrik, 2013; Kaiser, 2020). The bias in our case can especially result from omitted lags of household income.…”
Section: Resultsmentioning
confidence: 99%
“…One tricky question is the determination of the appropriate number of lags (Vendrik, 2013; Kaiser, 2020). On the one hand, with more lags the estimations are less likely to suffer from omitted‐variable bias; on the other hand, additional lags can significantly reduce the number of panel observations and also lead to a loss in efficiency in the estimates as current‐ and previous‐year income are strongly correlated.…”
Section: Resultsmentioning
confidence: 99%
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