Domestic Conflict Events, 2012

Description

A data set on domestic conflict events in 2012 as recorded by the Cross-National Time Series Database. Data exist for teaching about count models.

Usage

DCE12

Format

A data frame with 198 observations on the following 19 variables.

iso2c

a two-character ISO code

country

a character name for the country corresponding with the ISO code

assassinations

the count of assassinations in 2012

strikes

the count of general strikes in 2012

guerwar

the count of guerilla warfare events in 2012

govtcrises

the count of government crises in 2012

purges

the count of purges in 2012

riots

the count of riots in 2012

revolutions

the count of revolutions in 2012

agd

the count of anti-government demonstrations in 2012

wci

the weighted conflict index in 2012

area

the land area in square kilometers

adultpop

the adult (15+) population (in 1000s)

youthpop

the youth (15-29) population (in 1000s)

gdppc

GDP per capita (in constant 2015 USD)

urbanshare

urban population over total population (as percentage)

tpop

total population (in 1000s)

polyarchy

electoral democracy index, an estimate of democracy

perctser

percentage of tertiary school-aged population enrolled in tertiary school

Details

Conflict events data come from the Cross-National Time Series Database. I've used these data before for published papers, but the relative opacity of a data set for yearly purchase comes with a bit of a caveat emptor for the important question of real-world inference.

Data on the democracy estimate and tertiary school enrollment rate come from the Varieties of Democracy project. Democracy estimate for Palestine comes as a simple average of the two Palestinian territories collected by the Varieties of Democracy project. These are West Bank and Gaza. The tertiary school enrollment variable, which originally comes from a data project by Barro and Lee (2013), is "filled" to the referent year from the most recent year available in the data. That would be 2010. It's fine for this purpose.

Population estimates come from the UN Population Division. GDP per capita comes from the World Bank. The estimate of land area (in square kilometers) comes from the CNTS. Country name comes from CNTS as well.

In all but the case of the data from CNTS, and the "filled" case of the tertiary school enrollment variable, the referent year for the data is 2011. Not that anyone is going to care too much for a simple data set like this, but this would be the ol' endogeneity concern.