Bayesian analysis of happiness with individual heterogeneity
Bayesian analysis of happiness with individual heterogeneity
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个体异质性幸福的贝叶斯分析
DOI：
10.1007/s41237-018-0059-7
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Hasegawa Hikaru
中科院分区：
文献类型：
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作者：
Shi Lei;Hasegawa Hikaru
本研究将新的贝叶斯单变量有序概率模型应用于澳大利亚、加拿大和美国的幸福数据，其中移民状况和宗教状况反映了阈值模型中的个体异质性。实证结果表明，包含个体异质性的模型比没有个体异质性的模型表现更好。此外，异质性的影响在三个国家之间也有所不同。在美国，宗教信仰会影响门槛，但在加拿大或澳大利亚没有明显影响。此外，父母的移民身份可能会影响澳大利亚的门槛，但在美国或加拿大则没有影响。
This study applies a new Bayesian univariate ordered probit model to happiness data on Australia, Canada, and the US, with immigration status and religion status reflecting individual heterogeneity in the threshold model. The empirical results show that the models that include individual heterogeneity perform better than those without individual heterogeneity do. Furthermore, the effects of heterogeneity vary between the three countries. Having a religious affiliation affects the thresholds in the US, but shows no evident effects in Canada or Australia. Furthermore, parents’ immigration status can affect the thresholds in Australia, but shows no effects in the US or Canada.