Skip to main content


Showing posts from April, 2016

Inequality and Religiosity: The Gini ~ Religion Matters Vector, with Correlations and Plot

Responses to a post on the correlation between country-average IQ and responding yes to a question on if religion matters are inversely correlated, but not strongly so, prompted me to dig up a more significant issue, the relationship between religiosity and inequality, as measured by the Gini coefficient.

The correlation is quite high, at about .7, although this really says nothing about the cause, if religious countries tend toward inequality because of general tendencies, or if inequality drives people to religion, as a salve against suffering. In truth, they could both be reflective of some other aspect of a country, and not in any way causative.

Example Code

# Correlations on ReligionMatters and Gini Coeficients oecdData <- read.table("OECD - Quality of Life.csv", header = TRUE, sep = ",") #names(oecdData) religionMattersVector <- oecdData$ReligionMatters giniVector <- oecdData$Gini cor.test(giniVector, religionMattersVector)…