The essay dwells upon pro gun control, its advantages and disadvantages. To ensure that the regression models used for the study were valid, diagnostics were employed on the regression statistics used. In particular, the LIML regression models used for the study were tested for “multicollinearity, heteroskedasticity, outliners, normally distributed errors, and non-linearity” and were deemed to have adequately passed the test. In other words, the LIML regression model used was tested for possible conditions that may invalidate the results and was deemed to have passed the applicable tests or regression diagnostics. The LIML regression was applied on 39 cities covering Asia, Africa, Latin America, Europe and countries on other continents.
The sample of cities in Altheimer’s 2010 study includes cities from developing, as well as developed countries. Unfortunately, it is not clear whether the sample of 39 cities used was a random sample, purposive, or a convenient sample. Further, no US city was included in the sample. However, the data covered by Altheimer in 2010, was “the most far reaching comparable crime victimization data” as of 2010. Based on the foregoing, what appears reasonable to conclude is that the case for gun control continues to rest on good merit. First of all, the latest research provides scientific and statistical evidence to the merit of the view that gun control can reduce violent crime. Further, the statistical tool employed to assess data related to the correlation between violent crime and ownership.