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- Title
A Happiness Study Using Age-Period-Cohort Framework.
- Authors
Fukuda, Kosei
- Abstract
Age effects and birth cohort effects have not been differentiated in happiness studies. In this paper, age-period-cohort decomposition is applied to happiness data in the US. Since the relationship is linear, such as age = period − cohort, it is not possible to identify the three effects. This paper considers four identification models: the polynomial age-effect model, the proxy-variable model, the orthogonal period-effect model, and the principal component model. Happiness data are obtained from the General Social Survey for 1972-2008. Except for the polynomial age-effect model, three alternative models provide similar results. In particular, there is little difference between the decomposition results obtained by the orthogonal period-effect model and by the principal component model. The age effect shows downward movements for 18-55 and for 80-89, an upward movement for 56-69, and an almost flat movement for 70-79. The period effect shows cyclical movements slightly similar to unemployment rates fluctuations. The cohort effect shows a downward movement for the birth cohorts of 1894-1936, a dip for 1945-1958 (baby boomers), an upward movement for 1959-1969, and an almost flat movement for 1970-1987.
- Subjects
HAPPINESS; COHORT analysis; SOCIAL surveys; IDENTIFICATION; DATA analysis; INTERPERSONAL relations; PRINCIPAL components analysis
- Publication
Journal of Happiness Studies, 2013, Vol 14, Issue 1, p135
- ISSN
1389-4978
- Publication type
Article
- DOI
10.1007/s10902-011-9320-4