cow_mid_dirdisps {peacesciencer}

Directed Dyadic Dispute-Year Data (CoW-MID, v. 5.0)

Description

These are directed dyadic dispute year data derived from the Correlates of War (CoW) Militarized Interstate Dispute (MID) project. Data are from version 5.0.

Usage

cow_mid_dirdisps

Format

A data frame with 11390 observations on the following 18 variables.

dispnum

a numeric vector for the CoW-MID dispute number

ccode1

a numeric vector for the focal state in the dyad

ccode2

a numeric vector for the target state in the dyad

year

a numeric vector for the dispute-year

dispongoing

a numeric vector for whether there was a dispute ongoing in that year

disponset

a numeric vector for whether it was the onset of a new dispute (or new participant-entry into a recurring dispute)

sidea1

is ccode1 on side A of the dispute?

sidea2

is ccode2 on side A of the dispute?

fatality1

a numeric vector for the overall fatality level of ccode1 in the dispute

fatality2

a numeric vector for the overall fatality level of ccode2 in the dispute

fatalpre1

a numeric vector for the known fatalities (with precision) for ccode1 in the dispute

fatalpre2

a numeric vector for the known fatalities (with precision) for ccode2 in the dispute

hiact1

a numeric vector for the highest action of ccode1 in the dispute

hiact2

a numeric vector for the highest action of ccode2 in the dispute

hostlev1

a numeric vector for the hostility level of ccode1 in the dispute

hostlev2

a numeric vector for the hostility level of ccode2 in the dispute

orig1

is ccode1 an originator of the dispute?

orig2

is ccode2 an originator of the dispute?

Details

The process of creating these is described at one of the references below. Importantly, these data are somewhat "naive." That is: they won't tell you, for example, that Brazil and Japan never directly fought each other during World War II. Instead, it will tell you that there were two years of overlap for the two on different sides of the conflict and that the highest action for both was a war. The data are thus similar to what the EUGene program would create for users back in the day. Use these data with that limitation in mind.

References

Miller, Steven V. 2021. "How to (Meticulously) Convert Participant-Level Dispute Data to Dyadic Dispute-Year Data in R." URL: http://svmiller.com/blog/2021/05/convert-cow-mid-data-to-dispute-year/

Palmer, Glenn, and Roseanne W. McManus and Vito D'Orazio and Michael R. Kenwick and Mikaela Karstens and Chase Bloch and Nick Dietrich and Kayla Kahn and Kellan Ritter and Michael J. Soules. 2021. "The MID5 Dataset, 2011–2014: Procedures, coding rules, and description" Conflict Management and Peace Science.