首页> 外文会议>European Modeling and Simulation Symposium >HOUSEHOLDS INCOME-EXPENSES NETWORK SIMULATION Javier Lara de Paz, Idalia Fiores de la Mota, Gabriel Policroniades Chipuli, Sashiko Shirai Reyna
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HOUSEHOLDS INCOME-EXPENSES NETWORK SIMULATION Javier Lara de Paz, Idalia Fiores de la Mota, Gabriel Policroniades Chipuli, Sashiko Shirai Reyna

机译:家庭收入 - 费用网络仿真javier Lara de Paz,Idalia Fiores de la Mota,加布里埃尔·麦克里斯耳省Chipuli,Sashiko Shirai Reyna

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Economic systems are recognized as complex systems that can be modeled as complex networks. Analyzing and simulating with the outcoming networks parameters can be obtained the vulnerability and robustness of system's network, assisting the developing of economic policies. In present work we built up an economic weighted directed network between the catalogued labors, the productive sub-sectors, based on 4-digits NAICS-2018, and the eight common household expenses. Weighting edges with total household incomes and total amount paid for each expense. The network is constructed with a sample size of more than one hundred-thirty thousand households. With complex network metrics and adding an inflation rate to each main Expense category, the simulation was performed obtaining key economic properties such as wealth distribution per household and sectors vulnerabilities as well as system robustness.
机译:经济系统被认为是可以以复杂网络建模的复杂系统。通过推出的网络参数分析和模拟可以获得系统网络的漏洞和稳健性,协助经济政策的发展。在目前的工作中,我们基于4位NAICS-2018,建立了编目劳动力,生产性子部门之间的经济加权指示网络,以及八家普通家庭费用。加权边缘,总家庭收入和每项费用支付的总金额。该网络构造的样本量超过一百万户。通过复杂的网络指标并将通货膨胀率添加到每个主要费用类别,进行了仿真,以获得关键的经济性质,例如每家家庭的财富分配和漏洞以及系统鲁棒性。

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