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Fitting parsimonious household- portfolio models to data

机译:使简约的家庭投资组合模型适应数据

摘要

US data and new stockholding data from fifteen European countries and China exhibit a common pattern: stockholding shares increase in household income and wealth. Yet, there is a multitude of numbers to match through models. Using a single utility function across households (parsimony), we suggest a strategy for fitting stockholding numbers, while replicating that saving rates increase in wealth, too. The key is introducing subsistence consumption to an Epstein-Zin-Weil utility function, creating endogenous risk-aversion differences across rich and poor. A closed-form solution for the model with insurable labor-income risk serves as calibration guide for numerical simulations with uninsurable labor-income risk.
机译:来自15个欧洲国家和中国的美国数据和新的库存数据显示出一种常见的模式:持股比例增加了家庭收入和财富。但是,有许多数字可以通过模型进行匹配。我们建议在家庭中使用一个单一的效用函数(简约),建议一种适合存货数量的策略,同时复制储蓄率也可以增加财富。关键是将生活消费引入到爱泼斯坦-津-威尔的效用函数中,从而在贫富之间创造出内生的风险规避差异。具有可保劳动收入风险的模型的封闭式解决方案可作为具有不可保劳动收入风险的数值模拟的校准指南。

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