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Age-period-cohort decomposition of social security taxes and benefits in the USA and Japan

机译:美国和日本按年龄段划分的社会保障税和福利

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摘要

Aggregate data of social security taxes and benefits in the USA and Japan, classified by period and by age, are decomposed into age, period, and cohort effects using the Bayesian cohort models which were developed to overcome the identification problem in cohort analysis. Regarding to US results, it is shown that period and cohort effects have negligible impact on US social security taxes and benefits which are measured as the share of household expenditure and income, respectively. Regarding to Japanese results, it is shown that period effects show a moderate trend in social security taxes and that cohort effects indicate small up-and-down movements.
机译:美国和日本的社会保障税和福利总数据(按时期和年龄分类)使用贝叶斯队列模型分解为年龄,时期和队列效应,贝叶斯队列模型旨在克服队列分析中的识别问题。关于美国的结果,表明时期和同类效应对美国的社会保障税和福利的影响微不足道,分别以家庭支出和收入的份额来衡量。关于日本的结果,表明时期效应在社会保障税方面显示出适度的趋势,而同类效应表明其上下波动较小。

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