International convergence in population happiness: evidence from recent data
Rati Ram
Applied Economics, 2021, vol. 53, issue 34, 3984-3991
Abstract:
In the immense literature on convergence of income and many other variables, this is the first study to consider cross-country convergence in population happiness from large international samples based on data from World Happiness Report (WHR). Three main points stand out. First, WHR data yield significant evidence that is supportive of unconditional beta-convergence in happiness across countries. Second, the evidence is also consistent with sigma-convergence in terms of coefficient of variation. Third, the implied speed of beta-convergence is close to the ‘iron law’ of about 2% per year. Information from World Database of Happiness, which is for earlier years and covers a shorter period, also indicates sigma-convergence in terms of both standard deviation of logarithms and coefficient of variation. It indicates beta-convergence too, but at a slower pace. These findings seem important and reassuring in the context of the frequent worries about lack of income convergence in broad groups of developed and developing countries and the implied possible increase in inequality across countries.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2021.1891195 (text/html)
Access to full text is restricted to subscribers.
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:taf:applec:v:53:y:2021:i:34:p:3984-3991
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2021.1891195
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().