A vital takeaway from this article is that economic damages due to all kinds of natural hazards, together with GDP, time trend, and political parties serve to predict income distribution across the United States.
While the coefficients for GDP, time trend, and damages are all statistically significant, the coefficients for proportion of nonwhite people, proportion of people age 65 +, and type of Senate are not statistically significant.
The GDP time series was strongly correlated with retail turnover of liquor.
The ARIMA (0, 2, 0) model of GDP time-series had one local trend outlier in 1994 (t = 3.40; P < 0.01), likely a result of currency reform after hyperinflation in 1993 (which decreased GDP value by about 30.76%).
Their cash hoards now amount to 30% of GDP, three times the historical average.
Japan was praised for its industrial strength and competitiveness, despite running a debt worth 240% of its GDP, three times the ratio in the UK, and an annual budget deficit around twice as high as Britain at 10%.
The U.S., already a developed country as the century began, has grown at an amazing pace, multiplying its per capita GDP 6.2 times over the past hundred years.
It is a relatively developed province with a per capita GDP 1.6 times of the national average in 2010 [ 5].
Optimists point out that Britain's statisticians tend to revise up estimates of GDP over time (often years later), in contrast to practice in America (see article).
Δlog[GDP] t is the growth rate of real GDP at time t.
