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On the determinants of happiness: a classification and regression tree (CART) approach

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  • Sergio Galletta

Abstract

This article studies the determinants of the individual's subjective well-being by applying a classification and regression tree (CART) analysis to data from the Survey on Household Income and Wealth (SHIW) provided by the Bank of Italy. The results support the primary importance of economic conditions but show that their effect is heterogeneously dependent on other individual characteristics.

Suggested Citation

  • Sergio Galletta, 2016. "On the determinants of happiness: a classification and regression tree (CART) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 121-125, February.
    • Handle: RePEc:taf:apeclt:v:23:y:2016:i:2:p:121-125
    DOI: 10.1080/13504851.2015.1054066
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    References listed on IDEAS

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    6. Scoppa Vincenzo & Ponzo Michela, 2008. "An Empirical Study of Happiness in Italy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-23, June.
    7. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
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    2. Vincze, János & Takács, Olga, 2018. "Bérelőrejelzések - prediktorok és tanulságok [Wage forecasts predictors and lessons]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 592-618.
    3. Grzegorz Wałęga & Agnieszka Wałęga, 2021. "Over-indebted Households in Poland: Classification Tree Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 561-584, January.

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