igo_dyadic {igoR}

Extract the Joint Membership of a pair of Countries across IGOs.

Description

Dyadic version of the data. The unit of observation is a dyad of countries. It provides a summary of the joint memberships of two countries across IGOs over time.

Usage

igo_dyadic(country1, country2, year = 1816:2014, ioname = NULL)

Arguments

country1, country2

A state of vector of states to be compared. It could be any valid name or code of a state as specified on states2016.

year

Year to be assessed, an integer or an array of year.

ioname

Optional. ioname or vector of ioname corresponding to the IGOs to be assessed. If NULL (the default), all IGOs would be extracted. See codes on igo_search().

Details

This function tries to replicate the information contained in the original file distributed by The Correlates of War Project (dyadic_format3.dta). That file is not included in this package due to its size.

The result is a data.frame containing the common years of the states selected via ⁠country1, country2, year⁠ by rows.

An additional column dyadid, computed as (1000*ccode1)+ccode2 is provided in order to identify relationships.

For each IGO selected via ioname (or all if the default option has been used) a column (using lowercase ioname as identifier) is provided with the following code system:

Category	Numerical Value
No Joint Membership	0
Joint Full Membership	1
Missing data	-9
State Not System Member	-1

See igo_recode_dyadic() section for an easy way to recode the numerical values into factors.

If one state in an IGO is a full member but the other is an associate member or observer, that IGO is not coded as a joint membership.

Value

A coded data.frame representing the years and country dyad (rows) and the IGOs selected (columns). See Details.

Differences with the original dataset

There are some differences on the results provided by this function and the original dataset on some IGOs regarding the "Missing Data" (-9) and "State Not System Member" (-1). However it is not clear how to fully replicate those values.

See Codebook Version 3 IGO Data

Source

Codebook Version 3 IGO Data for full reference.

References

Pevehouse, J. C., Nordstrom, T., McManus, R. W., & Jamison, A. S. (2020). Tracking organizations in the world: The Correlates of War IGO Version 3.0 datasets. Journal of Peace Research, 57(3), 492–503. doi:10.1177/0022343319881175.

See Also

state_year_format3, states2016, igo_search().

Examples

usa_esp <- igo_dyadic("USA", "Spain")
nrow(usa_esp)
ncol(usa_esp)

dplyr::tibble(usa_esp)

# Using custom parameters
custom <- igo_dyadic(
  country1 = c("France", "Germany"), country2 = c("Sweden", "Austria"),
  year = 1992:1993, ioname = "EU"
)

dplyr::glimpse(custom)