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panelAR (version 0.1)

WhittenWilliams: Whitten and Williams (2011) Replication Data

Description

Replication data for Whitten and Williams (2011). Data structure is panels of 19 advanced democracies from 1945-2000. Data contains measurements of military spending as a percentage of GDP as well as other variables.

Usage

WhittenWilliams

Arguments

Format

A dataframe with the following variables:
  • ccode: country identifier (Correlates of War).
  • year: year identifier.
  • milex_gdp: military expenditures as a percentage of GDP.
  • lag_milex_gdp: military expenditures as a percentage of GDP for t-1.
  • GOV_rl: left-right position of government.
  • GOV_welfare: government welfare position.
  • GOV_hawk1: government international position.
  • gthreat: conflict involvement index.
  • gthreat_GOV_rl: conflict involvement interacted with left-right position of government.
  • gthreat_GOV_welfare: conflict involvement interacted with government welfare position.
  • gthreat_GOV_hawk1: conflict involvement interacted with government international position.
  • GOV_min: percentage of year that country had a minority government.
  • GOV_npty: average number of government parties.
  • election_yr: dummy variable for election year (1=election year).
  • cinc: Composite Index of National Capabilities (CINC).
  • alliance: alliance with US.
  • real_GDP_gr: growth in real GDP per capita.
  • lag_real_GDP_gr: growth in real GDP per capita for t-1.
  • cinclag: CINC for t-1.
  • cinc_ratio: ratio of US to Soviet CINC scores.
  • us_change_milex_gdp: growth in US defense spending as a fraction of GDP.
  • lag_alliance: alliance with US for t-1.
  • lag_us_change_milex_gdp: growth in US defense spending as a fraction of GDP for t-1.
  • lag_cinc_ratio: ratio of US to Soviet CINC scores for t-1.

Source

Whitten, Guy D. and Laron K. Williams. 2011. “Buttery Guns and Welfare Hawks: The Politics of Defense Spending in Advanced Industrial Democracies.” American Journal of Political Science 55(1): 117-134.

See Also

panelAR. Run demo(WhittenWilliams) for examples which use WhittenWilliams.