宏观经济指标与主观幸福感:来自欧盟的证据

IF 0.3 Q4 ECONOMICS
B. Marton, Alena Mojsejová
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引用次数: 0

摘要

本文研究了2010年至2019年期间可能影响欧洲国家主观幸福感(SWB)的因素在国家层面的作用。许多现有文献中的宏观经济变量都关注GDP、通货膨胀、政府规模和支出以及它们与SWB的关系。目前的分析包括腐败、产权、贫困、预期寿命、工作时间和排放,以丰富现有的文献。本研究采用世界幸福指数(WHI)来衡量主观幸福感。本研究的相关分析表明,WHI与人类发展指数(HDI)具有较高的相关性,表明WHI是衡量主观幸福感的合适指标。其次,由于数据集是纵向的,我们估计了固定效应和随机效应模型,并将面板回归模型与OLS回归模型进行了比较。这一分析揭示了GDP、收入和产权对WHI的正相关关系,而贫困和失业对WHI的负相关关系,因此我们可以得出生活物质方面与主观幸福感之间的正相关关系。腐败和工作时间对主观幸福感的影响为负向,而预期寿命的影响为正向。在研究中发现通货膨胀和排放的回归模型不显著。研究结果与现有的基于个人和综合数据的研究进行了比较。结果的相似性证明,从国家层面的汇总数据分析SWB的决定因素是可能的。最后,我们提出了改善被分析国家生活质量的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroeconomic Indicators and Subjective Well-Being: Evidence from the European Union
This paper examines the role of factors which could have influenced subjective well-being (SWB) in European countries at a national level between 2010 and 2019. Macroeconomic variables in much of the existing literature have looked at GDP, inflation, government size and expenditure and their relationship to SWB. The current analysis included corruption, property rights, poverty, life expectancy, working time and emissions to enrich the existing body of literature. The World Happiness Index (WHI) is used to measure SWB in this study. The correlation analysis in this study shows a high level of correlation between WHI and the Human Development Index (HDI) which suggests the WHI is a suitable proxy for measuring subjective well-being. Next, the fixed and random effects models were estimated since the dataset was longitudinal, and we have also compared panel regression models with OLS regression models. This analysis revealed positive relationships of GDP, income and property rights on WHI, while poverty and unemployment impact WHI negatively, thus we can conclude positive relationship between material aspects of life and subjective well-being. Corruption and working time impact SWB in a negative way while the impact of life expectancy is positive. The regression models with inflation and emissions were not found to be significant in the research. The results were compared with existing studies based on individual as well as aggregated data. Similarities in results prove that it is possible to analyze determinants of SWB from aggregated data on national level. At the end, we formulate proposals for improving quality of life in the analyzed countries.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
23
审稿时长
24 weeks
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