The Russett data set (Russett, 1964) are studied in Gifi (1990). Three blocks of variables have been defined for 47 countries. The first block X1 = [GINI, FARM, RENT] is related to "Agricultural Inequality". The second block X2 = [GNPR, LABO] describes "Industrial Development". The third one X3 = [INST, ECKS, DEAT] measures "Political Instability". An additional variable DEMO describes the political regime: stable democracy, unstable democracy or dictatorship. Russett collected this data to study relationships between Agricultural Inequality, Industrial Development and Political Instability. Russett's hypotheses can be formulated as follows: It is difficult for a country to escape dictatorship when its agricultural inequality is above-average and its industrial development below-average.
A data frame with 47 observations on the following 11 numeric variables.
Inequality of land distribution
% farmers that own half of the land
% farmers that rent all their land
Gross national product per capita ($1955)
% of labor force employed in agriculture
Instability of executive (45-61)
Number of violent internal war incidents (46-61)
Number of people killed as a result of civic group violence (50-62)
binary variable equal to 1 for stable democraty and 0 otherwise
binary variable equal to 1 for unstable democraty and 0 otherwise
binary variable equal to 1 for dictatorship and 0 otherwise
Russett B.M. (1964), Inequality and Instability: The Relation of Land Tenure to Politics, World Politics 16:3, 442-454.
Gifi, A. (1990), Nonlinear multivariate analysis, Chichester: Wiley.
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#Loading of the Russett dataset data(Russett) #Russett is partitioned into three blocks (X_agric, X_ind, X_polit) X_agric =as.matrix(Russett[,c("gini","farm","rent")]) X_ind = as.matrix(Russett[,c("gnpr","labo")]) X_polit = as.matrix(Russett[ , c("inst", "ecks", "death", "demostab", "demoinst", "dictator")]) A = list(X_agric, X_ind, X_polit) lapply(A, dim)
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