The Easterlin Paradox: Misconceptions about Economic Growth and Happiness
Kelsey O'Connor
No 18874, IZA Discussion Papers from IZA Network @ LISER
Abstract:
The Easterlin Paradox refers to the apparent contradiction between the cross-sectional and time-series relationships between GDP per capita and evaluative happiness – at a point in time, countries with greater GDP per capita are on average happier, but over time, long-run GDP growth does not correlate meaningfully with long-run happiness growth. Yet not everyone agrees. After more than fifty years since Easterlin's original article, the Paradox remains controversial and is frequently misunderstood. This article reviews the evolution of the Easterlin Paradox and briefly discusses its modern definition, explanations, best practices for testing, empirical extensions, and common misconceptions and critiques, with particular attention on methodology. Recent evidence indicates there is a broad range of long-run happiness changes, but these changes do not meaningfully correlate with long-run GDP growth rates, even in less developed countries. The implications are part of why the Paradox is so controversial. Economic growth alone does not constitute development or societal progress. In Easterlin’s words, it is time to move on [beyond GDP] and discover what explains why happiness grew in some countries and not others.
Keywords: Easterlin Paradox; economic growth; income; happiness; life satisfaction; subjective well-being; development (search for similar items in EconPapers)
JEL-codes: D60 I31 O10 O5 (search for similar items in EconPapers)
Date: 2026-08
New Economics Papers: this item is included in nep-hpe
References: Add references at CitEc
Citations:
Downloads: (external link)
https://docs.iza.org/dp18874.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp18874
Access Statistics for this paper
More papers in IZA Discussion Papers from IZA Network @ LISER Contact information at EDIRC.
Bibliographic data for series maintained by Mark Fallak ().