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Does everyone exhibit loss aversion? Evidence from a panel quantile regression analysis of subjective well-being in Japan

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  • Fang, Zheng
  • Niimi, Yoko

Abstract

This paper examines the distributional effects of the determinants of happiness by applying quantile regression techniques to panel data for Japan. The key question examined in the paper is whether we observe an asymmetry between the effects of positive and negative changes on individual happiness, and if it exists, whether it is observed uniformly across the happiness distribution. Such an asymmetry is referred to as “loss aversion” in prospect theory. Loss aversion effects are analyzed with respect to relative income as well as expected and actual income changes. We find that feeling relatively poor has a greater negative effect on happiness than the positive effect of feeling relatively rich, i.e., losses bite more than gains. Moreover, the degree of loss aversion with respect to relative income was found to increase as we move down the happiness distribution. However, no evidence of loss aversion is detected with respect to income changes at the mean, though the happiness of relatively unhappy people is found to be affected more by losses than by equivalent gains.

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  • Fang, Zheng & Niimi, Yoko, 2017. "Does everyone exhibit loss aversion? Evidence from a panel quantile regression analysis of subjective well-being in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 79-90.
  • Handle: RePEc:eee:jjieco:v:46:y:2017:i:c:p:79-90
    DOI: 10.1016/j.jjie.2017.10.003
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    Cited by:

    1. Chen, Ke-Mei, 2020. "Subjective poverty, deprivation, and the subjective well-being of children and young people: A multilevel growth curve analysis in Taiwan," Children and Youth Services Review, Elsevier, vol. 114(C).
    2. Yaman, F. & Cubi-Molla, P. & Ungureanu, S., 2019. "Which Decision Theory Describes Life Satisfaction Best? Evidence from Annual Panel Data," Working Papers 19/12, Department of Economics, City University London.
    3. Andrew E. Clark & Conchita D'Ambrosio & Rong Zhu, 2021. "Living in the Shadow of the Past: Financial Profiles and Well‐Being," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 910-939, July.
    4. Fırat Yaman & Patricia Cubí-Mollá & Sergiu Ungureanu, 2023. "Which Decision Theory Describes Life Satisfaction Best? Evidence from Annual Panel Data," Journal of Happiness Studies, Springer, vol. 24(3), pages 893-916, March.
    5. Maite Blázquez & Ana I. Moro Egido, 2020. "Financial insecurity and subjective well-being. Europe in crossnational perspective," ThE Papers 20/07, Department of Economic Theory and Economic History of the University of Granada..
    6. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    7. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).

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    More about this item

    Keywords

    Happiness; Japan; Loss aversion; Panel quantile regression; Subjective well-being;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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