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Article Title : Study on Better Distribute Social Capital to Improve the Mortality Rate
Author(s) : Leyao Zhang
Corresponding Author : Leyao Zhang
Keywords : Social Capital; Mortality; Regression Models.

This research question focuses on exploring the relationship between social capitals and mortality rate across nations and times in the united states. The data used was selected from the CPS database which summarized different kinds of social capital from 2008 to 2017. Data collected by CPS is the main dataset I used to examine relationships among social capitals. Based on the comprehensive record about social capital in the CPS dataset, analysis can be done at the micro level to see how individuals' measures of social capital are related to individuals' circumstances. Relationships among capitals can be determined through regression models with fixed variables. Thus, in the research, I built regression models and focused on the marginal changes brought by each independent variable. To better understand the relationships among social capitals, I grouped social capitals into three main categories: civic engagement, social trust and people’s tendency on helping others. In each category of social capitals, I explored deeply into different elements to consider whether they are positively or negatively correlated. Regressions built in this research will reveal that elements in each aspects of social capitals are not always positively correlated. Hence policies which emphasized to increase the distribution of one area of social capital may not be an efficient way to drive the mortality rate down. The main idea this article emphasized is that considering the relationship between social capital and mortality helps determine how to achieve improvement on mortality rate through adjusting social capital. Even though the result we get from this research tells us the interaction between social capitals and how to effectively control mortality rate, more researches are still be needed in exploring these social capital variables in different conditions besides time and demography.