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    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 Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
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  • Dataset

    By Fiscal Management Division (VPS/IFD/FMM)
    The Equivalent Fiscal Pressure (EFP) for Latin America and the Caribbean for the period 1990-2018, calculated using the IDB-CIAT methodology, measures the total resources collected by the countries of the region. This includes mandatory contributions to private (actuarial) social security systems and non-tax revenues from natural resource exploitation activities. In 2018, the EFP reached 25.2% of GDP, an increase of 0.4% compared to 2017. The sustained increase is based on three fiscal pillars: the Value-Added Tax (VAT), the Income Tax System (ISR), and mandatory Social Security Contributions (SSC), both public and private. From 1990 to 2018, these pillars collectively grew as follows: VAT by 3.4 percentage points of GDP (87.0%), ISR by 2.7 points (77.5%), mandatory SSC by 1.6 points (59.5%), and non-tax revenue from natural resources by 0.7 points (317.5%). Over the most recent five-year period (2013-2018), EFP growth was limited to 1 percentage point of GDP, equivalent to a 4.1%...
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    By IDB Lab (IDB Lab)
    FINLAC is a database of regulated financial institutions with information on financial performance and financial inclusion by financial institution. It covers 7 time periods, more than 50 variables and covers more than 2,000 financial institutions. It uses public information or information provided to the IDB for these purposes by financial authorities, and in some exceptional cases, by the institution itself.
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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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