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Published in: Journal of Happiness Studies 2/2014

01-04-2014 | Research Paper

Social Capital and Individual Happiness in Europe

Authors: Andrés Rodríguez-Pose, Viola von Berlepsch

Published in: Journal of Happiness Studies | Issue 2/2014

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Abstract

This paper explores the relationship between social capital and happiness both in Europe as a whole, as well as in its four main geographical macro-regions—North, South, East and West—separately. We test the hypothesis of whether social capital, in its three-fold definition established by Coleman (Am J Sociol 94:S95–S120 1988)—trust, social interaction, and norms and sanctions—influences individual happiness across European countries and regions. The concept of social capital is further enriched by incorporating Putnam (Making democracy work—civic traditions in modern Italy. Princeton University Press, Princeton, 1993) and Olson (The rise and decline of nations—economic growth, stagflation, and social rigidities. Yale University Press, New Haven and London, 1982) type variables on associational activity. Using ordinal logistic regression analysis on data for 48,583 individuals from 25 European countries, we reach three main findings. First, social capital matters for happiness across the three dimensions considered. Second, the main drivers of the effects of social capital on happiness appear to be informal social interaction and general social, as well as institutional trust. And third, there are significant differences in how social capital interacts with happiness across different areas of Europe, with the connection being at is weakest in the Nordic countries.

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Appendix
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Footnotes
1
Following the happiness economics literature, this paper uses the terms well-being, life-satisfaction and happiness as synonyms.
 
2
We opted for an ordered logistic regression model because of its ability to capture the structure of our assumed generalized reported happiness function, as suggested by Blanchflower and Oswald (2004). An ordered logistic regression (ologit) can be seen as an extension to the logistic regression model. While the latter evaluates binary dependent variables, ologit models take into account dependent variables with more than two response categories ordered in a logical sequence i.e. from very unhappy to very happy. An alternative method would have been to run the regressions using ordinary least squares (OLS). We have conducted such analysis and, when OLS is used, neither the coefficients, nor the significance levels of both the control variables and the variables of social capital in question vary much with respect to the ologit analysis. This is in line with what is predicted by Ferrer-i-Carbonell and Frijters (2004). The OLS results of the analysis can be made available upon request.
 
3
Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom, Greece, Hungary, Ireland, Latvia, the Netherlands, Poland, Portugal, Romania, Sweden, Slovenia and Slovakia. Russia, Turkey, Norway, Ukraine and Israel (the non-EU members) were dropped from the dataset because of problems in comparability of some of the control variables. Complete datasets for Lithuania, Luxemburg, Italy and Malta were not available.
 
4
The reverse causality issue, as explained by Helliwell and Putnam (2004), refers to the possible two-way linkage between happiness and other factors. While one could assume that, say, healthier people are happier than others, one could also argue the opposite, that happier people generally are healthier than unhappy ones.
 
5
A similar method was used by Alesina et al. (2004). Instead of using the cluster option, they arbitrarily divided the answers ranging from 1 to 10 into two groups. This method proved to be unsatisfactory for the purpose of our analysis, since the various answers ranging from 1 to 10 are not equally distributed among the observations.
 
6
The full results, including the macroeconomic and socio-demographic variables, can be provided upon request.
 
7
The 11 happiness categories were divided as follows: 0, 1, 2, very unhappy, 3, 4, 5, fairly happy, 6, 7, happy, 8, 9, 10 very happy. Very happy was chosen to include the three scores 8, 9 and 10 to properly reflect the diversity of European countries when referring to the marginal effects. If only 9, 10 were chosen, only the Nordic countries would have been taken into consideration.
 
8
Given that the income comparison variable was only available for one wave of the ESS, for the sake of brevity, these results are not displayed in the paper. However, they can be made available upon request.
 
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Metadata
Title
Social Capital and Individual Happiness in Europe
Authors
Andrés Rodríguez-Pose
Viola von Berlepsch
Publication date
01-04-2014
Publisher
Springer Netherlands
Published in
Journal of Happiness Studies / Issue 2/2014
Print ISSN: 1389-4978
Electronic ISSN: 1573-7780
DOI
https://doi.org/10.1007/s10902-013-9426-y

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