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On a Japanese Subjective Well-Being Indicator Based on Twitter data

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  • Tiziana Carpi
  • Airo Hino
  • Stefano Maria Iacus
  • Giuseppe Porro

Abstract

This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data. The index is composed by eight dimensions of subjective well-being and is estimated relying on Twitter data by using human supervised sentiment analysis. The index is then compared with the analogous SWB-I index for Italy, in order to verify possible analogies and cultural differences. Further, through structural equation models, a causal assumption is tested to see whether the economic and health conditions of the country influence the well-being latent variable and how this latent dimension affects the SWB-J and SWB-I indicators. It turns out that, as expected, the economic and health welfare is only one aspect of the multidimensional well-being that is captured by the Twitter-based indicator.

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  • Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2020. "On a Japanese Subjective Well-Being Indicator Based on Twitter data," Papers 2012.14372, arXiv.org.
    • Handle: RePEc:arx:papers:2012.14372
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    1. Iacus Stefano M. & Salini Silvia & Siletti Elena & Porro Giuseppe, 2020. "Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal," Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.
    2. Simon Kuznets, 1934. "National Income, 1929-1932," NBER Books, National Bureau of Economic Research, Inc, number kuzn34-1, March.
    3. Takaki Hayashi & Nakahiro Yoshida, 2008. "Asymptotic normality of a covariance estimator for nonsynchronously observed diffusion processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(2), pages 367-406, June.
    4. Christopher Barrington-Leigh & Alice Escande, 2018. "Measuring Progress and Well-Being: A Comparative Review of Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 893-925, February.
    5. Angus Deaton, 2012. "The financial crisis and the well-being of Americans," Oxford Economic Papers, Oxford University Press, vol. 64(1), pages 1-26, January.
    6. Ed Diener & Eunkook Suh & Heidi Smith & Liang Shao, 1995. "National differences in reported subjective well-being: Why do they occur?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 34(1), pages 7-32, January.
    7. Rossouw, Stephanie & Greyling, Talita, 2020. "Big Data and Happiness," GLO Discussion Paper Series 634, Global Labor Organization (GLO).
    8. S. M. Iacus & G. Porro & S. Salini & E. Siletti, 2022. "An Italian Composite Subjective Well-Being Index: The Voice of Twitter Users from 2012 to 2017," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 471-489, June.
    9. Natalie Wong & Xianmin Gong & Helene H. Fung, 2020. "Does Valuing Happiness Enhance Subjective Well-Being? The Age-Differential Effect of Interdependence," Journal of Happiness Studies, Springer, vol. 21(1), pages 1-14, January.
    10. Michiko Kumano, 2018. "On the Concept of Well-Being in Japan: Feeling Shiawase as Hedonic Well-Being and Feeling Ikigai as Eudaimonic Well-Being," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(2), pages 419-433, June.
    11. Yukun Zhao & Feng Yu & Bo Jing & Xiaomeng Hu & Ang Luo & Kaiping Peng, 2019. "An Analysis of Well-Being Determinants at the City Level in China Using Big Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 973-994, June.
    12. van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
    13. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    14. Angus Deaton & Arthur A. Stone, 2016. "Understanding context effects for a measure of life evaluation: how responses matter," Oxford Economic Papers, Oxford University Press, vol. 68(4), pages 861-870.
    15. Luigi Curini & Stefano Iacus & Luciano Canova, 2015. "Measuring Idiosyncratic Happiness Through the Analysis of Twitter: An Application to the Italian Case," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(2), pages 525-542, April.
    16. Daniel Kahneman & Alan B. Krueger & David Schkade & Norbert Schwarz & Arthur Stone, 2004. "Toward National Well-Being Accounts," American Economic Review, American Economic Association, vol. 94(2), pages 429-434, May.
    17. Daniel J. Hopkins & Gary King, 2010. "A Method of Automated Nonparametric Content Analysis for Social Science," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 229-247, January.
    18. Greyling, Talita & Rossouw, Stephanie & Adhikari, Tamanna, 2020. "Happiness-lost: Did Governments make the right decisions to combat Covid-19?," GLO Discussion Paper Series 556, Global Labor Organization (GLO).
    19. Petra Kralj Novak & Jasmina Smailović & Borut Sluban & Igor Mozetič, 2015. "Sentiment of Emojis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
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