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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, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 40(4), pages 64-83.
    • Handle: RePEc:ris:apltrx:0278
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    References listed on IDEAS

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    Cited by:

    1. Aistov, Andrey, 2019. "Happy together: A regression discontinuity approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 73-99.

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    More about this item

    Keywords

    life satisfaction; happiness; econometric modeling; age groups;
    All these keywords.

    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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