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The Benefits, Challenges and Insights of a Dynamic Panel assessment of Life Satisfaction

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  • Piper, Alan T.

Abstract

This study discusses and employs dynamic panel data to investigate life satisfaction. A key result is that approximately 90% of the impact of any commonly measured variable on well-being is contemporaneous. This reflects the finding that lagged life satisfaction has a small, positive and significant effect on current life satisfaction. A related key benefit of dynamic panel models include the ability to determine short and long run values of coefficients. Additionally such models make it possible for researchers to choose which explanatory variables are potentially endogenous or exogenous. The challenges of such an analysis are also detailed, which are linked to its complexity particularly when compared with the more standard fixed effects models.

Suggested Citation

  • Piper, Alan T., 2014. "The Benefits, Challenges and Insights of a Dynamic Panel assessment of Life Satisfaction," MPRA Paper 59556, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59556
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    1. Piper, Alan T., 2015. "Sliding down the U-shape? A dynamic panel investigation of the age-well-being relationship, focusing on young adults," Social Science & Medicine, Elsevier, vol. 143(C), pages 54-61.
    2. Alan T. Piper, 2016. "Sleep duration and life satisfaction," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 63(4), pages 305-325, December.
    3. Doris Läpple & Colin A. Carter & Cathal Buckley, 2022. "EU milk quota abolition, dairy expansion, and greenhouse gas emissions," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 125-142, January.
    4. Seong-Hoon Cho & Moonwon Soh & Kihyun Park & Hyun Jae Kim, 2022. "Impact of the rise of solo living and an ageing population on residential energy consumption in South Korea," Energy & Environment, , vol. 33(2), pages 399-416, March.
    5. Alan Piper, 2022. "Optimism, pessimism and life satisfaction: an empirical investigation," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 177-208, June.
    6. Heri Bezić & Davor Mance & Davorin Balaž, 2022. "Panel Evidence from EU Countries on CO 2 Emission Indicators during the Fourth Industrial Revolution," Sustainability, MDPI, vol. 14(19), pages 1-25, October.
    7. Hong, Seock-Jin & Farris, Martin Theodore & Pohlen, Terrance L. & Idug, Yavuz, 2023. "Exploring the impact of working capital in the U.S. aviation industry for profitability and shareholder value," Transport Policy, Elsevier, vol. 144(C), pages 90-101.
    8. Srofenyoh, Francis Yao & Agyei-Henaku, Kofi Aaron Aboa-Offei & Badu-Prah, Charlotte & Agyeiwaa-Afrane, Akua & Gidiglo, Ferguson Korbla & Djokoto, Justice Gameli, 2023. "Aid-to-Production, Consumption and Agricultural Growth in Developing Countries," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 11(4), October.
    9. Slesman, Ly, 2022. "The elusive curse of natural resources on happiness," Resources Policy, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Life Satisfaction; Dynamic Panel Analysis; GMM; Happiness; Subjective Well-Being;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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