Some More Correlations on Mass Shootings in the United States

Estimating through end-May, count regression (negative binomial, maximum likelihood):

 

casualtiest = –1.72 – 0.72 bant + 1.21 trumpt – 0.14 bident +0.00001popt

Adj-R2 = 0.022, SER = 32.6, NOBS = 389. Bold denotes significance at 10% msl, standard errors corrected for overdispersion (GLM option in EViews).

For number of mass shooting events, count regression (Poisson):

eventst = –5.27 – 0.55 bant + 0.55 trumpt + 0.014 bident +0.00001popt

Adj-R2 = 0.100, SER = 0.565, NOBS = 389. Bold denotes significance at 10% msl, standard errors corrected for overdispersion (GLM option in EViews).

Population for April, May extrapolated using previous year’s worth of population data (in log first differences).