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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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  • Dataset

    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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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 42 years, 1975–2017. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.
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