IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Analysis of Determinants of Happiness of Many Countries by Using Support Vector Machine (in Japanese)

Listed author(s):
  • Kazutoshi TANABE
  • Takahiro SUZUKI
Registered author(s):

    A large-scale empirical experiment to analyze determinants of national happiness of human well-beings has been carried out based on happiness data of nations in the world as dependent variable and numerous factors as explanatory variables. The correlation between the happiness data containing World Database of Happiness for 149 countries and the data of 56 factors of countries’ indices such as economical, political, social, health, resource, environmental, life-style, and cultural fields was statistically analyzed to evaluate the influence of each factor on happiness. The determinants of happiness across nations were investigated by training non-linear regression support vector machine (SVM) models using the data of happiness and the country factors, and by optimizing the explanatory variables by the sensitivity analysis method. The results indicate that 20 factors satisfactorily represent the happiness data of 130 countries with the root mean squared error of 0.48 and the coefficient of determination of 0.867. A nonlinear regression technique like SVM is crucial for constructing a happiness predicting model due to the high nonlinear relationship between happiness and the explanatory variables. It was also revealed that health is the most important among various factors which influence the happiness due to the large contribution of health factors (e.g. life expectancy and mortality rate) to happiness. It is suggested that the direct contribution of economical factors such as gross domestic product (GDP) to happiness is not significant, but their indirect effect is not negligible through in the health condition.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.esri.go.jp/jp/archive/bun/bun188/bun188c.pdf
    Download Restriction: no

    Article provided by Economic and Social Research Institute (ESRI) in its journal Economic Analysis.

    Volume (Year): 188 (2014)
    Issue (Month): (March)
    Pages: 46-60

    as
    in new window

    Handle: RePEc:esj:esriea:188c
    Contact details of provider: Postal:
    1-6-1 Nagata-cho, Chiyoda-ku, Tokyo 100-8914

    Web page: http://www.esri.go.jp/

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:esj:esriea:188c. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (KAWAMOTO Takuma)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.