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Happiness in Japan: A Hierarchical Age-Period-Cohort Analysis Based on JGSS Cumulative Data 2000–2015

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Part of the book series: Quality of Life in Asia ((QLAS,volume 13))

Abstract

The purpose of this paper is to examine factors affecting the happiness of Japanese people based on the JGSS cumulative data 2000–2015. JGSS is a repeated cross-sectional survey conducted once a year or every other years. Analyzing the pooled data of JGSS makes it possible to examine the cohort effect and period effect. In addition, we can achieve more generalized findings by examining the effect of variables at the individual level while controlling for the effect of cohorts and periods. We employed a hierarchical Age-Period-Cohort Analysis because individuals are nested within two social contexts: period (time points of surveys) and cohort (birth cohorts with 5-year interval). The period and the cohort were set at the group level, age and other independent variables predicting happiness were set at the individual level. The results of our analysis revealed that (1) the age effect followed a U-shaped curve, (2) happiness declined in 2003, (3) happiness was low in 1935–1939 birth cohort, (4) original social stratum and social opportunities in the early period of life affected happiness over the life course, (5) subjective relative household income had a stronger relation with happiness than equivalent household income, (6) working status and marital status have a different effect on happiness between men and women.

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Notes

  1. 1.

    The relative income hypothesis states that people’s happiness is affected not only by their amount of absolute income but also their amount of income compared to those around them. The adaptation hypothesis states that people’s happiness temporarily increases when their income rises but returns to its original level once they become accustomed to their new status.

  2. 2.

    The interpretation of intercept values varies depending on the method used to center the independent variables incorporated into a model. In this study, we centered continuous variables using the average values for the entire sample.

  3. 3.

    Kosaka (2008) suggested that we should focus on reducing unhappiness rather than increasing happiness.

  4. 4.

    Treating 1–5 as continuous variables and conducting the analysis produces roughly the same results as the ones obtained in this study.

  5. 5.

    Respondents were asked to answer to the question “Compared with Japanese families in general, what would you say about your family income?” with a number ranging from 1 (Far below average) to 5 (Far above average).

  6. 6.

    JGSS-2006 asked about their experiences with giving up on higher education due to financial reasons, and as expected, those born between 1935 and 1939 had the highest rates of abandoning higher education.

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Acknowledgements

The Japanese General Social Surveys (JGSS) are designed and carried out by the JGSS Research Center at Osaka University of Commerce (Joint Usage/Research Center for Japanese General Social Surveys accredited by Minister of Education, Culture, Sports, Science and Technology), in collaboration with the Institute of Social Science at the University of Tokyo. JGSS-2015 is financially assisted by JSPS KAKENHI Grant Number 26245060. This study received funding from MEXT’s Grants-in-Aid for Scientific Research (Young Researcher (B) 21730434).

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Shishido, K., Sasaki, T. (2020). Happiness in Japan: A Hierarchical Age-Period-Cohort Analysis Based on JGSS Cumulative Data 2000–2015. In: Tsai, MC., Iwai, N. (eds) Quality of Life in Japan. Quality of Life in Asia, vol 13. Springer, Singapore. https://doi.org/10.1007/978-981-13-8910-8_2

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  • DOI: https://doi.org/10.1007/978-981-13-8910-8_2

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