收入评价模型:主观参照收入分配的收入比较

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Sociology Pub Date : 2021-07-04 DOI:10.1080/0022250X.2021.1972417
Atsushi Ishida
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引用次数: 0

摘要

人们对自己收入相对地位的评价并不像相对收入假说所假设的那样准确。从实证调查数据可以看出,收入评价集中在中间位置。为了解释收入评价的集中化现象,我们建立了一个假设主观收入参考分布上的收入比较模型。我们使用贝叶斯统计模型进行理论分析和经验参数估计。理论分析表明,当主观参考分配比客观分配更分散时,收入评价分配就会出现集中化。利用2015年日本数据进行的实证分析表明,主观分布与客观分布之间的关系随着社会类别和社会经历的不同而不同。女性的分布比男性更为模糊。在男性中,45-54岁的主观分布与客观分布最接近。因此,只有通过构建模型,才能明确可能定义人们对其收入评价的主观参考收入分布及其基于社会类别的差异。
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A model of income evaluation: income comparison on subjective reference income distribution
ABSTRACT People’s evaluation of the relative position of their income is not as accurate as the relative income hypothesis assumes. It is observed from empirical survey data that income evaluation is concentrated in the middle. We develop a model that assumes income comparison on a subjective income reference distribution to explain the centralization phenomenon of income evaluation. We conduct theoretical analysis and empirical parameter estimation using Bayesian statistical modeling. The theoretical analysis shows that the centralization of income evaluation distribution occurs when the subjective reference distribution is more dispersed than the objective distribution. Empirical analysis using Japanese data from 2015 shows that the relationship between subjective and objective distributions differed depending on social categories with different social experiences. Women had a more ambiguous distribution than men. Among men, those aged 45–54 had a subjective distribution closest to the objective distribution. Thus, the subjective reference income distributions that potentially define people’s evaluation of their income and their differences based on social category were only clarified by constructing the model.
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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