Scientific Essay from the year 2017 in the subject Politics - Region: USA, language: English, abstract: The following research was aimed at finding the role in which demography plays for murder rates. The research began by looking into the trends of homicide rates during the pre-1800 era and the post-1800 era to see if the rates are on the change or consistent. Demo data was collected using a few techniques and proxy in order to make the, complete. The data were analyzed using descriptive analysis to determine their trends. A t-test was also carried out to examine the relationship between the dependent variable (homicide rate) and the independent variable p2029, p2034, m2029 and m2034). A regression analysis was then carried out on the homicide rate to find out the relationship between the hr and young share and young male share of 2 age groups. From the regression models, it was found out that age group 2029 shows higher effect in OLS than FE while age group of 20 to 34 age group shows the opposite. Moreover, age group of the 20 to 29 age group has more than twice high impact on homicide rates than that of age group 20-34. On the other hand, male share of age group of 20 to 29 age group has the greatest impact. Finally, the male share of age group 2034 is only statistically significant in FE.
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