39 Results

Financial Sector

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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    The Technical Note "Setting Targets for Results-Based Financing Programs: A Simple Cost Benefit Framework" is accompanied by this Excel tool for the calculation of targets according to the simple framework presented. As an example, the case of El Salvador from the Salud Mesoamerica 2015 initiative is used in the file. The sources of information for this particular example were the latest available at the time of the exercise.
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  • Dataset

    By Fiscal Management Division (VPS/IFD/FMM)
    The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps projections available in real time. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to...
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  • Dataset

    By IDB Lab (IDB Lab)
    This benchmarking index evaluates the legal, regulatory and operating environments for public-private partnerships in transport and water infrastructure for 19 Latin American and Caribbean countries. The analysis and scores in the model provide a comparable assesssment of individual countries' readiness and facility for PPP project design and implementation. They also provide a regional ranking for each country, allowing investors and policy advocates to focus on strengths and weaknesses.
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    This dataset constitutes a panel follow-up to the 2016/2017 Suriname Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed in August 2020. The Suriname COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking and help mitigate the crisis impacts on the populations welfare. The survey recontacted households interviewed in 2016/2017 by the Suriname Survey of Living Conditions (SSLC) and was conducted by phone due to the mobility restrictions and social distancing measures in place. It interviewed 1,016 households during August 2020 and gathered information about disease transmission, household finances, labor, income, remittances, spending, and social protection programs. Data and documentation...
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    This dataset constitutes a panel follow-up to the 2016 Barbados Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed in November 2020. The Barbados COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking and help mitigate the crisis impacts on the populations welfare. The first survey round recontacted households interviewed in 2016 by the Barbados Survey of Living Conditions (BSLC) and was conducted by phone due to the mobility restrictions and social distancing measures in place. It interviewed 896 households and all their members over 29 days during May and June 2020 and gathered information about disease transmission, household finances, labor, income, remittances, spending, and social...
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