A 179-country cross-section of defense spending and conflict indicators for 1995, drawn from the replication archive of Wimpy, Whitten, and Williams (2021). Three row-standardized spatial weights matrices connect the units through different channels: contiguity, alliance, and defense pact.
Format
A named list with four elements:
dataA tibble with 179 rows and 12 variables, arranged by Correlates of War country code (
ccode). Variables:ccode- Correlates of War country code.year- Calendar year (1995).ch_milex- Change in military expenditures (outcome).milex_tm1- Lagged military expenditures.log_pop_tm1- Lagged log population.civilwar_tm1- Lagged civil war indicator.total_wars_tm1- Lagged count of interstate wars.alliance_us- Alliance with the United States.ch_milex_us- Change in U.S. military expenditures.ch_milex_ussr- Change in Soviet/Russian military expenditures.region- Integer region code (1-5).region_name- Factor: Europe, N Africa/Middle East, Africa, Asia/Oceania, Americas.
W_contigA 179 x 179 row-standardized sparse
dgCMatrixencoding geographic contiguity.W_allianceA 179 x 179 row-standardized sparse
dgCMatrixencoding alliance ties.W_defenseA 179 x 179 row-standardized sparse
dgCMatrixencoding mutual defense pacts.
Source
Wimpy, Whitten, and Williams (2021) replication archive, Journal of Politics Dataverse. doi:10.1086/710089
Details
This cross-section is intended for pedagogical demonstration of
variable-specific SLX specifications. The original paper estimates a
pooled panel SLX across 1950-2008 with year-specific weights matrices;
that full-panel replication requires block-diagonal W support, which
is planned for slxr v0.2.
