A data set on economic aid allocation by the United States for assorted years. These are useful for illustrative cross-sectional relationships between human rights and U.S. aid allocation at what amounts to midway points for various presidential administrations.
Format
A data frame with 1654 observations on the following 18 variables.
country
an English country name
ccode
a Correlates of War state code
region
a region in which the country resides, per Greenbook
year
a year
nomoblig
economic aid obligations in nominal U.S. dollars
constoblig
economic aid obligations in costant 2019 U.S. dollars
clphy
a physical violence index, bound between 0 and 1
civlib
a civil liberties index, bound between 0 and 1
fpsusa
foreign policy similarity with the United States
fpsrus
foreign policy similarity with the Soviet Union/Russia
mindistusa
minimum distance of the country from the United States
mindistrus
minimum distance of the country from the USSR/Russia
gdp
an estimate of GDP in constant 2011 U.S. dollars
pop
an estimate of population size
usaimp
a value of how much the U.S. imports from the country (in thousands USD)
usaexp
a value of how much the U.S. exports to the country (in thousands USD)
milex
an estimate of military expenditures (in thousands USD)
cinc
a composite index of national capabilities
Details
Matching is done on Correlates of War state codes. Thus, the exact "population" is an amalgam of U.S. aid and Correlates of War state system membership. Regions are offered, as is, from USAID Data Services.
Data on aid are "obligations" and not "disbursements", and thus may better reflect donor intent. These come from US Overseas Loans & Grants ("Greenbook") and were prepared by USAID Data Services on July 14, 2021.
Greenbook only offers information about dollar amounts of aid, contingent on receiving aid. Observations were added, based on Correlates of War state system membership, about countries that could've received aid but did not. Countries that never received aid at all had to have regions assigned to them ex post. I don't think the regions imputed for these observations are problematic. This concerns Andorra, Czechoslovakia, Dominica, German Democratic Republic, German Federal Republic, Liechtenstein, Luxembourg, Monaco, Nauru, Republic of Vietnam, San Marino, St. Lucia, St. Kitts and Nevis, Switzerland, Tuvalu, Yemen Arab Republic, Yemen People's Republic, and Zanzibar.
Higher values of the physical violence index and civil liberties index communicate better human rights records. Data are lagged a year.
Foreign policy similarity is Cohen's (1960) kappa based on valued United
Nations General Assembly voting. Data come from Haege (2011) by way of
peacesciencer's add_fpsim()
function. Please read
peacesciencer documentation for more information about these measures,
along with what you should cite for any serious use of these data. Higher
values for these measures = more foreign policy similarity.
Minimum distance is calculated using the Vincenty method ("as the crow
flies"). Measurement is in kilometers and data come from peacesciencer
and its add_minimum_distance()
function. Check package documentation
for appropriate citation for any serious use.
Estimates of gross domestic product ("GDP") and population come by way of
peacesciencer and its add_sdp_gdp()
function. Check package
documentation for appropriate citations for any serious use. GDP is in
actual dollars.
Trade data come from Correlates of War trade data by way of peacesciencer
and its add_cow_trade()
function. Check package documentation for
appropriate citations for any serious use.
Military expenditure and capabilities data come from Correlates of War by way
of peacesciencer and its add_cow_trade()
function. Check package
documentation for appropriate citations for any serious use.