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on Economics of Happiness |
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Issue of 2011‒08‒29
three papers chosen by |
| By: | Claudia Burgard; Katja Görlitz |
| Abstract: | Using data from the German Socio-Economic Panel (GSOEP), this paper analyzes the relationship between training and job satisfaction focusing in particular on gender diff erences. Controlling for a variety of socio-demographic, job and fi rm characteristics, we fi nd a diff erence between males and females in the correlation of training with job satisfaction which is positive for males but insignifi cant for females. This diff erence becomes even more pronounced when applying individual fi xed eff ects. To gain insights into the reasons for this diff erence, we further investigate training characteristics by gender. We fi nd that fi nancial support and career-orientation of courses only seems to matter for the job satisfaction of men but not of women. |
| Keywords: | Training; job satisfaction; gender differences; fixed effects |
| JEL: | I29 J24 J28 M53 |
| Date: | 2011–07 |
| URL: | http://d.repec.org/n?u=RePEc:rwi:repape:0265&r=hap |
| By: | Longhi, Simonetta |
| Abstract: | This paper combines individual data from the British Household Panel Survey and yearly population estimates for England to analyse the impact of cultural diversity on individual wages and on different aspects of job satisfaction. Do people living in more diverse areas have higher wages and job satisfaction after controlling for other observable characteristics? The results show that cultural diversity is positively associated with wages, but only when cross-section data are used. Panel data estimations show that there is no impact of diversity. Using instrumental variables to account for endogeneity also show that diversity has no impact. |
| Date: | 2011–08–08 |
| URL: | http://d.repec.org/n?u=RePEc:ese:iserwp:2011-19&r=hap |
| By: | Daniel S. Hamermesh; Jason Abrevaya |
| Abstract: | We measure the impact of individuals’ looks on life satisfaction/happiness. Using five data sets, from the U.S., Canada, the U.K., and Germany, we construct beauty measures in different ways that allow placing lower bounds on the effects of beauty. Beauty raises happiness: A one standard-deviation change in beauty generates about 0.10 standard deviations of additional satisfaction/happiness among men, 0.12 among women. Accounting for a wide variety of covariates, particularly effects in the labor and marriage markets, including those that might be affected by differences in beauty, the impact among men is more than halved, among women slightly less than halved. |
| JEL: | C20 I30 J10 |
| Date: | 2011–08 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:17327&r=hap |