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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    Very few developing countries have long-term longitudinal surveys that have followed children from the early years throughout their adult life, with low attrition rates and large sample sizes. This type of survey is essential to understand what are critical times in the life cycle when gaps in different dimensions of human capital emerge and how they evolve over time and affect later outcomes. The Ecuador longitudinal survey started in 2003 and has had 5 subsequent follow-ups: 2005, 2008, 2011, 2014, and 2019. This data set contains the first five of them. A large number of papers has been written using this data (Paxson and Schady 2007; Paxson and Schady 2010 ; Schady 2006; Fernald and Hidrobo 2011 ; Schady 2011 ; Schady 2012; Schady, Behrman et al. 2015; Berlinsky and Schady, 2015; Araujo, Bosch, Maldonado and Schady 2017; Araujo, Bosch and Schady 2016, and others). All rounds of the survey administered tests to measure different areas of child development (cognition, language,...
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    With the aim of contributing to the design of evidence-based public health policies in Latin America and the Caribbean and giving special consideration to patient or health service user perspectives, between 2012 and 2014 the Inter-American Development Bank carried out the Primary Care Access, Experience and Coordination Survey in Latin America and the Caribbean, in adult populations in Colombia, Mexico, Brazil, El Salvador, Panama and Jamaica. More detail about the motivations, conceptual framework, and detailed methodology of the survey can be found the publication “Desde el paciente: Experiencias de la atención primaria de salud en América Latina y el Caribe” (in Spanish). Primary Healthcare Access, Experience, and Coordination in Latin America and the Caribbean is a dataset of 9,012 observations, that merges the three waves of data collection in the survey, conducted between 2012 and 2014 in: Colombia and Mexico; Brazil and El Salvador; and Panama and Jamaica.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    The cost simulation tool for long-term care systems provides a way to quickly estimate how much it would cost governments in Latin America and the Caribbean to implement this type of system. It can also be used to compare different service packages and make projections. The dataset contains data on population, levels of care dependence, and other macroeconomic variables that are processed by formulas to allow users to quickly estimate how much it would cost a government to implement a long-term care system in 2020. Users can estimate the cost of up to two long-term care service packages and project costs for 2025 and 2030.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Panama, specifically focusing on the health facility survey.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Mexico, specifically focusing on the health facility survey.
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