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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    This dataset provides information on labor demand and supply in the three metropolitan areas of Bolivia’s central axis. Labor demand data comes from two surveys conducted with companies in 2015 and 2016. Labor supply data comes from a census of university training centers (both professional and technical levels) and a survey of technical institutes.
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  • Dataset

    By IDB Lab (IDB Lab)
    The 2018 Global Microscope on Financial Inclusion is a benchmarking index that assesses the enabling environment for financial access in 55 countries. The research underscores the evolving landscape of financial inclusion itself. This year’s index was completely revised to take a forward-looking focus on digital financial services, and to address the critical role of financial inclusion envisioned in the Sustainable Development Goals (SDGs).
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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 Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The 2019 PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the fifteen PLAC Network member countries: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guyana, Haiti, Honduras, Jamaica, Mexico, Panama, Paraguay, Peru, Trinidad and Tobago, and Uruguay. The indicators are divided into five main categories: environment, performance, sustainability, society's preparedness for aging and reform, and pension system design. Each one of these categories are divided into a few subcategories as well. These indicators were constructed with the objective of becoming an important tool for the improvement of the following aspects of pension systems: coverage, sufficiency of benefits, financial sustainability, equity and social solidarity, efficiency, and institutional capacity. An important characteristic of this dataset is the comparability of these indicators since it...
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    In this study, we examine the regional income distribution in Peru from 1795 to 2017. To achieve this goal, we reconstructed long-term regional GDP and population series for Peru’s 24 departments. These series allowed us to analyze regional income inequality through dimensions such as inequality, modality, mobility, agglomeration, and convergence. The results indicate a persistent increase in regional inequality in Peru from the second half of the 19th century to the first half of the 20th century. The Gini coefficient, which measures regional inequality, shows a value of 0.2613 for 1795 and 0.3626 for 2017, with the highest value of 0.4283 recorded in 1934. The regional income distribution is bimodal, with no mobility between the extremes. For instance, the probability that a department poor in 1795 remains poor in 2017 is 94%, while the probability of a rich region remaining rich is 95%. However, significant mobility is observed among departments occupying the middle of the...
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