Graph 1: Change (increase or decrease) in US Real Personal Income wrt to the begining of the presidency (y-axis) over time (x-axis) per president.
Coming Soon
Graph 2: Change (increase or decrease) in US Real Personal Income wrt to the unemployment rate at the begining of the presidency (y-axis) by quarters into presidency (x-axis) for each president (trend lines).
Graph 3: Change (increase or decrease) in US Real Personal Income at the end of the presidency wrt to the US Real Personal Income at the begining of the presidency (y-axis) date (x-axis) for each president (bars).
Hypothesis testing using Welch's two sample t-test was performed to simply answer the question at hand, what does the data tell us - Republican presidents have time after time commanded higher increase in real personal income compared to Democratic presidents?
Null Hypothesis: Average change (increase or decrease) in real personal income between Democrat and Republican Presidency is same.
Alternate Hypothesis: Average change (increase or decrease) in real personal income between Democrat and Republican Presidency is not the same but indeed greater for one of them.
Results & Conclusion: Upcoming Soon
Welch Two Sample t-test
data: Increase / Decrease in Real Personal Income by Political Party (President)
t = 0.10417, df = 8.829, p-value = 0.4597
alternative hypothesis: true difference in means between group Democrat and group Republican is greater than 0
95 percent confidence interval:
-6.654525 Inf
sample estimates:
mean in group Democrat mean in group Republican
11.675 11.275
Welch Two Sample t-test
data: Increase / Decrease in Real Personal Income by Political Party (President)
t = 1.8935, df = 12.483, p-value = 0.04085
alternative hypothesis: true difference in means between group Democrat and group Republican is greater than 0
95 percent confidence interval:
0.2326633 Inf
sample estimates:
mean in group Democrat mean in group Republican
15.04286 11.27500
Welch Two Sample t-test
data: Increase / Decrease in Real Personal Income by Political Party (President)
t = 1.5735, df = 11.887, p-value = 0.07091
alternative hypothesis: true difference in means between group Democrat and group Republican is greater than 0
95 percent confidence interval:
-0.423601 Inf
sample estimates:
mean in group Democrat mean in group Republican
15.04286 11.87143
What does the graph above shows?
The above graph tracks cumulative change in US inflation rate (log change in price index) for each president from the time they take office to the end of each of their presidential terms. This allows to track impact on inflation in US through the course of each presidency based on their socio - economic, foreign and domestic policies and leadership.
Each president is baselined at the price index they inherit and their subsequent contribution to price inflation and economic well being of the nation is tracked. Each line/curve represent the cumulative change in US price index for the respective presidential term from begining to end i.e. 0 quarters (begining) to 16 quarters (end).
What is the methodology and data used for this analysis for the purpose of independent validation and replication?
1.) Get the quarterly US unemployment rate data from Federal Reserve Board (FRB). The ticker in UNRATE.
2.) Calculate the change (increase / decrease) in unemployment rate for each president with respect to the unemployment rate level when they took office i.e. calculate cumulative change in unemployment rate for 1 quarter into presidency, 2 quarter into presidency, and so forth for the entire presidential term of each president i.e. 16 quarters for each presidency.
4.) Plot the graph on a chronological basis i.e. time on x-axis and the change in US unemployment rate observed over each period in a given presidency on y-axis.
5.) Color each line with the color of each presidents party.
Unemployment Rate is the market value of all the goods (like crops, cattle, and cars) and services (like teaching, trucking, and repairs) produced in the country. When GDP increases means market values of goods and services have increased meaning economy grew, and hopefully more money for the pocket and investment if inflation is mellow i.e., inflation is less than the economic growth rate.
The median of a set of numbers is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set, it may be thought of as the “middle" value. The basic feature of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed by a small proportion of extreme values, and therefore provides a better representation of the center. Median income, for example, may be a better way to describe the center of the income distribution because increases in the largest incomes alone have no effect on the median. For this reason, the median is of central importance in robust statistics. Median is a 2-quantile; it is the value that partitions a set into two equal parts.