Our research considers the assessment of claims that there is a direct and positive causal relationship between the unemployment rate and mortality rate, overall, in New York City. We examined mortality data, but also incorporated some illness data. The main data sets include the unemployment rate in New York County, NY from late 1900s to the early 2000s and the yearly death counts for NYC. The data overlaps in the years 2007 through 2011, for which we also obtained data specifically on yearly deaths counts for NYC from suicide. We found that unemployment leads many people to develop physiological diseases, drug problems, or depression, leading to early mortality. However, it is difficult to show a strong correlation of this through general data. Thus, to help us support our ideas, we applied to our data to related literature and studies discussing mortality in people who have experienced unemployment and exploring topics of how circumstances affect men opposed to women, changing social risks, and connections between stress and death. Some of these studies assisted us to eliminate variables to prove our point. Still, we question the knowledge that we examine and apply from these sources to the risk of death from unemployment in New York City.

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http://eportfolios.macaulay.cuny.edu/seminar3posters/files/gravity_forms/1-f14ea90e75361cb91bd42582a860ee01/2014/12/Unemployment-and-Risk-of-Death-Assessing-a-Causal-Relationship-in-New-York-City.pdf

Nadejda Dimitrova, David Rafalko

David Munns, Kevin Ambrose

John Jay College

risk, death, unemployment

Unemployment and Risk of Death- Assessing a Causal Relationship in New York City | 2014 | 2014 Posters | Tags: , , | Comments (0)

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