15 Results

Panel Data Financial Sector

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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    This is the data used for the estimation of the GVAR model as in "China's Emergence in the World Economy and Business Cycles in Latin America" (access the study in the related URL Section). The dataset includes quarterly data for twenty-five major advanced and emerging economies plus the euro area, covering more than 90 percent of world GDP. The variables included in the dataset are real GDP, CPI inflation, real equity prices, real exchange rates, short-term and long-term interest rates, and the price of oil. Updates of this dataset -together with the baseline GVAR code- can be found in the Related URL section below. Years covered: 1979 - 2009.
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This database compiles current standardized statistics on sovereign debt issuances for the Latin American and Caribbean (LAC) region and contains biannual data starting in 2006 through June 2023. Sovereign debt data is classified by legislation, creditor, currency, and maturity, among other areas, for 26 LAC countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies. As such, at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in the region and conduct cross-country comparisons. LAC public debt offices provided the data in response to a questionnaire specifically designed to allow comparability. The questionnaire, whose response is non-compulsory, is intended to compile current standardized statistics for objective and...
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This database compiles up-to-date standardized statistics on sovereign debt issuances for the Latin American and Caribbean (LAC) region and contains biannual data starting in 2006 through December 2022. Sovereign debt data is classified by legislation, creditor, currency, and maturity amongst others for 26 countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies in LAC countries. This is why at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in the region and conduct cross-country comparisons. The information of this database is provided by the public debt offices of LAC countries in response to a questionnaire specifically designed to allow comparability of data. The questionnaire, whose response is non-compulsory, is...
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This database compiles currrent standardized statistics on sovereign debt issuances for the Latin American and Caribbean (LAC) region and contains biannual data starting in 2006 through December 2023. Sovereign debt data is classified by legislation, creditor, currency, and maturity, among other areas, for 26 LAC countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies. As such, at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in the region and conduct cross-country comparisons. The data are provided by LAC public debt offices in response to a questionnaire specifically designed to allow comparability of data. The questionnaire, whose response is non-compulsory, is intended to compile current standardized statistics for...
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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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