TY - BOOK ID - 84543075 TI - Classifications of Countries Basedon their Level of Development : How it is Done and How it Could Be Done AU - Nielsen, Lynge. AU - International Monetary Fund. PY - 2011 SN - 1462304265 1455220590 1283560194 9786613872647 1455216852 PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - Economic development KW - Econometric models. KW - Developing countries KW - Developed countries KW - Advanced countries KW - Advanced nations KW - Developed nations KW - Economically advanced countries KW - Economically advanced nations KW - First World KW - Industrial countries KW - Industrial nations KW - Industrial societies KW - Industrialized countries KW - Industrialized nations KW - Western countries KW - Emerging nations KW - Fourth World KW - Global South KW - LDC's KW - Least developed countries KW - Less developed countries KW - Newly industrialized countries KW - Newly industrializing countries KW - NICs (Newly industrialized countries) KW - Third World KW - Underdeveloped areas KW - Underdeveloped countries KW - Banks and Banking KW - Foreign Exchange KW - Macroeconomics KW - International Economics KW - Poverty and Homelessness KW - Economic Development: General KW - Economic Development: Human Resources KW - Human Development KW - Income Distribution KW - Migration KW - Personal Income, Wealth, and Their Distributions KW - Banks KW - Depository Institutions KW - Micro Finance Institutions KW - Mortgages KW - Welfare, Well-Being, and Poverty: General KW - International Agreements and Observance KW - International Organizations KW - Banking KW - Poverty & precarity KW - International institutions KW - Currency KW - Foreign exchange KW - Personal income KW - Poverty KW - International organization KW - Purchasing power parity KW - Income KW - Banks and banking KW - South Africa UR - https://www.unicat.be/uniCat?func=search&query=sysid:84543075 AB - The paper analyzes how the UNDP, the World Bank, and the IMF classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The paper argues that a country classification system based on a transparent, data-driven methodology is preferable to one based on judgment or ad hoc rules. Such an alternative methodology is developed and used to construct classification systems using a variety of proxies for development attainment. ER -