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Age characteristics of the happy life in Russia and Europe: The econometric approach

Author

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  • Rodionova, Lilia

    () (National Research University Higher School of Economics, Moscow, Russian Federation)

Abstract

The comparative analysis of the age impact on the happiness in Russia and European countries were conducted. The European Social Survey data for 29 countries in 2012 were used. On the basis of the ordered logistic regression U-relationship between age and happiness were obtained for each analyzed countries. By using cluster analysis all countries were divided into several groups, in which the age effect varies greatly. Russia was in a cluster of countries where the level of happiness continues to decline for the older age group (over 60 years). The socio-economic determinants of happiness were also analyzed in different age groups. Income satisfaction and health status were more significant characteristics.

Suggested Citation

  • Rodionova, Lilia, 2015. "Age characteristics of the happy life in Russia and Europe: The econometric approach," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 40(4), pages 64-83.
  • Handle: RePEc:ris:apltrx:0278
    as

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    File URL: http://pe.cemi.rssi.ru/pe_2015_4_64-83.pdf
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    References listed on IDEAS

    as
    1. Sergei Guriev & Ekaterina Zhuravskaya, 2009. "(Un)happiness in Transition," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 143-168, Spring.
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    3. Clark, Andrew E & Oswald, Andrew J, 1994. "Unhappiness and Unemployment," Economic Journal, Royal Economic Society, vol. 104(424), pages 648-659, May.
    4. Frijters, Paul & Beatton, Tony, 2012. "The mystery of the U-shaped relationship between happiness and age," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 525-542.
    5. AlisonL. Booth & JanC. vanOurs, 2008. "Job Satisfaction and Family Happiness: The Part-Time Work Puzzle," Economic Journal, Royal Economic Society, vol. 118(526), pages 77-99, February.
    6. Felicia Huppert & Nic Marks & Andrew Clark & Johannes Siegrist & Alois Stutzer & Joar Vittersø & Morten Wahrendorf, 2009. "Measuring Well-being Across Europe: Description of the ESS Well-being Module and Preliminary Findings," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(3), pages 301-315, May.
    7. Kassenboehmer, Sonja C. & Haisken-DeNew, John P., 2012. "Heresy or enlightenment? The well-being age U-shape effect is flat," Economics Letters, Elsevier, vol. 117(1), pages 235-238.
    8. Lim, Chaeyoon & Putnam, Robert David, 2010. "Religion, Social Networks, and Life Satisfaction," Scholarly Articles 11105537, Harvard Kennedy School of Government.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    life satisfaction; happiness; econometric modeling; age groups;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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