Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most - Sianes, Antonio; Dorado-Moreno, Manuel; Hervás-Martínez, César (Social indicators research, 2014)
Keywords: Algorithms; Antipoverty Programs; Artificial Intelligence; Artificial neural networks; Civil Society; Classification; Cooperation; Countries; Developing Countries; Development sociology; Development Strategies; Energy; Environmental security; Experiments; Foreign aid; GDP; Gross Domestic Product; History, theory and methodology; Human Geography; International development; LDCs; Low Income Groups; Machine learning; Machinery; Methodology; Microeconomics; Modeling; Networks; Neural networks; Neurons; Peer Influence; Poverty; Public Health; Public policy; Quality of Life Research; Ratings & rankings; Research Design; Social research; Social Sciences; Sociologists; Sociology; Sociology of economy and development; Statistical Analysis; Studies; Policy coherence for development; Fight against poverty; Ordinal classification; Commitment to development index; Artificial neural networks; Congruence; Poverty; Development aid; Classification; Developing Countries; Fight; Commitment; Advanced Countries; Development policy