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Does Mobile Internet Use Affect the Subjective Well-being of Older Chinese Adults? An Instrumental Variable Quantile Analysis

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  • Haiyang Lu

    (Southwestern University of Finance and Economics)

  • Ivan T. Kandilov

    (North Carolina State University)

Abstract

Although mobile Internet has become an integral part of people’s daily life in the world today, research on whether and to what extent mobile Internet use (MIU) affects the subjective well-being (SWB) of older adults is scant. This paper focuses on the SWB-MIU gradients among older Chinese adults and contributes to the literature by exploring the relationship between MIU and SWB across the entire distribution of older adults’ SWB. Using nationally representative data from the China Family Panel Studies, we find that MIU has a significant positive impact on the SWB of older adults in China. Employing an instrumental variable quantile regression approach, we provide robust evidence of an asymmetric distributional impact of MIU on SWB among older Chinese adults. In particular, we find that individuals with lower levels of SWB benefit more from the usage of mobile Internet. The results further indicate that MIU can improve the relationship between older adults and their adult children, and is conducive to the maintenance of kin ties, which we interpret as potential mechanisms through which MIU positively affects SWB among older Chinese adults.

Suggested Citation

  • Haiyang Lu & Ivan T. Kandilov, 2021. "Does Mobile Internet Use Affect the Subjective Well-being of Older Chinese Adults? An Instrumental Variable Quantile Analysis," Journal of Happiness Studies, Springer, vol. 22(7), pages 3137-3156, October.
    • Handle: RePEc:spr:jhappi:v:22:y:2021:i:7:d:10.1007_s10902-021-00365-6
    DOI: 10.1007/s10902-021-00365-6
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    as
    1. Carol Graham & Julia Ruiz Pozuelo, 2017. "Happiness, stress, and age: how the U curve varies across people and places," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(1), pages 225-264, January.
    2. Efstratia Arampatzi & Martijn J. Burger & Natallia Novik, 2018. "Social Network Sites, Individual Social Capital and Happiness," Journal of Happiness Studies, Springer, vol. 19(1), pages 99-122, January.
    3. Rainer Winkelmann, 2009. "Unemployment, Social Capital, and Subjective Well-Being," Journal of Happiness Studies, Springer, vol. 10(4), pages 421-430, August.
    4. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    5. Lelkes, Orsolya, 2006. "Tasting freedom: Happiness, religion and economic transition," Journal of Economic Behavior & Organization, Elsevier, vol. 59(2), pages 173-194, February.
    6. Ed Diener, 1994. "Assessing subjective well-being: Progress and opportunities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 31(2), pages 103-157, February.
    7. Berlin, Martin & Fors Connolly, Filip, 2019. "The association between life satisfaction and affective well-being," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 34-51.
    8. Peng Nie & Alfonso Sousa-Poza & Galit Nimrod, 2017. "Internet Use and Subjective Well-Being in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 489-516, May.
    9. Easterlin, Richard A, 2001. "Income and Happiness: Towards an Unified Theory," Economic Journal, Royal Economic Society, vol. 111(473), pages 465-484, July.
    10. Ichino, Andrea & Winter-Ebmer, Rudolf, 1999. "Lower and upper bounds of returns to schooling: An exercise in IV estimation with different instruments," European Economic Review, Elsevier, vol. 43(4-6), pages 889-901, April.
    11. 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.
    12. Bruno Arpino & Valeria Bordone & Nicoletta Balbo, 2018. "Grandparenting, education and subjective well-being of older Europeans," European Journal of Ageing, Springer, vol. 15(3), pages 251-263, September.
    13. Haiyang Lu & Ivan T. Kandilov & Rong Zhu, 2020. "The Impact of Internal Migration on the Health of Rural Migrants: Evidence from Longitudinal Data in China," Journal of Development Studies, Taylor & Francis Journals, vol. 56(4), pages 840-855, April.
    14. Brown, Philip H. & Tierney, Brian, 2009. "Religion and subjective well-being among the elderly in China," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 310-319, March.
    15. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    16. Liqiu Zhao & Xianguo Yao, 2017. "Does local social capital deter labour migration? Evidence from rural China," Applied Economics, Taylor & Francis Journals, vol. 49(43), pages 4363-4377, September.
    17. Michael DiNardi & Melanie Guldi & David Simon, 2019. "Body weight and Internet access: evidence from the rollout of broadband providers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 877-913, July.
    18. Castellacci, Fulvio & Tveito, Vegard, 2018. "Internet use and well-being: A survey and a theoretical framework," Research Policy, Elsevier, vol. 47(1), pages 308-325.
    19. Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
    20. Lin Yu & Zhimin Yan & Xun Yang & Lei Wang & Yuhan Zhao & Glenn Hitchman, 2016. "Impact of Social Changes and Birth Cohort on Subjective Well-Being in Chinese Older Adults: A Cross-Temporal Meta-analysis, 1990–2010," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(2), pages 795-812, March.
    21. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    22. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2008. "The coming acceleration of global population ageing," Nature, Nature, vol. 451(7179), pages 716-719, February.
    23. Berlin, Martin & Fors, Filip, 2017. "The Association Between Life Satisfaction and Affective Well-Being," Working Paper Series 1/2017, Stockholm University, Swedish Institute for Social Research.
    24. Binlei Gong, 2019. "Like father like son? Revisiting the role of parental education in estimating returns to education in China," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 275-292, February.
    25. Carol Ryff & Burton Singer, 2008. "Know Thyself and Become What You Are: A Eudaimonic Approach to Psychological Well-Being," Journal of Happiness Studies, Springer, vol. 9(1), pages 13-39, January.
    26. Binder, Martin & Coad, Alex, 2011. "From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 275-290, August.
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