wars: wars

In BaM: Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach"

wars

Description

Data for Chinese wars example, see page 163

The variables included in the dataset are:

• ONSET ratio-level variable measuring the epochal (whether historical or calendar) time of event occurrence, measured in calendar year

• TERM ratio-level variable measuring the epochal (historical) time of event conclusion, measured in calendar year

• EXTENT number of belligerents involved on all sides of the war

• ETHNIC intra-group or inter-group conflict

• DIVERSE number of ethnic groups participating as belligerents

• ALLIANCE total number of alliances among belligerents

• DYADS number of alliance pairs

• POL.LEV nominal-level variable measuring the political level of belligerent involvement regarding domestic and foreign belligerents, with a 1 for internal war, 2 for interstate war

• COMPLEX governmental level of the warring parties, where the first variable is multiplied by ten for scale purposes

• POLAR number of relatively major or great powers at the time of onset

• BALANCE the difference in military capabilities: minor-minor, minor-major, major-major

• TEMPOR type of war: protracted rivalry, integrative conquest, disintegrative/fracturing conflict, sporadic event

• SCOPE political scope of conflicts in terms of governmental units affected

• DURATION duration of conflict, measured in years

Usage

data(wars)

Format

a data frame of 104 observations of different China wars with 15 explanatory variables

Source

Cioffi-Revilla, C. and Lai, D. (1995). War and Politics in Ancient China, 2700 B.C. to 722 B.C.: Measurement and Comparative Analysis. Journal of Conflict Resolution 39, 467-494.

BaM documentation built on Oct. 14, 2022, 5:07 p.m.