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DatabasesClick on the link above to open the page dedicated to the IDLA dataset on the WIDER website and find the relevant documentation. IDLA is the product of a project, coordinated by Prof. Giovanni Andrea Cornia, concerning new policy models as well as inequality and poverty issues in Latin America.The project analyses the policy lessons stemming from the application of the 'Open Economy Redistribution With Growth' (OERWG) model during the last decade in Latin America and other countries. A particular focus is placed on the distributive and growth effects induced by the policies implemented by democratically elected Latin American centre-left governments and other regimes.The future sustainability and possible extension of the OERWG model is also investigated.
The GHDN aims at providing the statistical information needed for the analysis of the relationships between structural country characteristics, globalization and health. It includes variables measuring health and nutritional status, vector contamination, demographic characteristics, migration, family resources and personal characteristics (such as various types of female literacy), health behaviours, income distribution and volatility, unemployment, public and private health expenditures, coverage of vertical health programs, and macroeconomic variables that might affect health status. As the period 1980-2005 has been marked by a surge in the number of severe health shocks (e.g. HIV/AIDS, conflicts and disasters), such variables have also been included in the database so as to permit assessing their impact on health. The UNU/WIDER World Income Inequality Database (WIID) collects and stores information on income inequality for developed, developing, and transition countries. The database is a rich source of comparative information on a range of topics from mortality rates to macroeconomic trends relating to the situation of children in 28 transition countries in Central and Eastern Europe (Albania, Armenia, Azerbaijan, Belarus, Bosnia Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FYR Macedonia, Georgia, Hungary, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Montenegro, Polonia, Romania, Russia, Serbia, Slovakia, Slovenia, Tagikistan, Turkmenistan, Ukraina, Uzbekistan). Provides a comprehensive collection of statistical data relevant to the analysis of international trade, investment and development, for individual countries and for economic and trade groupings. Provides purchasing power parity and national income accounts converted to international prices for 188 countries for some or all of the years 1950-2004. The European Union or the OECD provide more detailed purchasing power and real product estimates for their countries and the World Bank makes current price estimates for most PWT countries at the GDP level. |
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