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Financial Sector

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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This broad and novel database of 52 countries over 2001–11, allowed a study that assesses the link between financial intermediation and saving. The study finds that the Latin American and Caribbean (LAC) region lags well behind other regions in terms of financial depth, as measured by gross private domestic financial assets. LAC countries also have a larger share of bank deposits and cash in the private sector portfolio, compared to non-bank assets (bonds and shares). Moreover, within the institutional investor industry, pension funds are relatively developed in the region, although they grew out of the compulsory pension systems in several countries that date back to the 1980s and 1990s. The findings also indicate that LAC countries have about 40 percent of gross private financial wealth invested abroad, but just 4 percent of gross private liabilities have that origin, which attests to region’s obstacles in tapping international markets. The countries in general present a small...
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  • Dataset

    By Innovation in Citizen Services Division (VPS/IFD/ICS)
    This database delivers information about several management systems, classified in five “pillars” of the public sector management cycle that are considered important for the implementation of Management for Development Results (MfDR): (i) results-based planning, (ii) results-based budgeting, (iii) public financial management (including auditing and procurement), (iv) program and project management (including the public investment system), and (v) monitoring and evaluation of public management. These pillars are broken down into components that track the maturity of institutional systems. The components are in turn composed of indicators and minimum requirements that these systems must have in an MfDR environment. The most of these requirements are categorized alternatively as: the requirement is met, partially met, or is not met.
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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    This file contains aggregated indicators of the situation of non-agricultural formal and informal small businesses. The survey gives especial attention to small businesses in the informal sector. The survey contains information on investments, revenues, expenses and profits, characteristics of employed people (sex , age, education level, employment status and position in the occupation), access to non-financial services and credit.
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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    Medium Term Fiscal Frameworks (MTFs) have become one of the most popular reforms to the budgetary process in Latin America during the last decade, and introducing MTFs seemed to be the magic solution for most fiscal ailments. Nonetheless, there has been no comprehensive evaluation of their impact. This document discusses the normative merits of using MTFs, provides a characterization of the different types of MTF, and describes their development in the Latin American region based on extensive field work. As a first approximation for understanding how they are working, this document explores in detail the cases of Argentina, Colombia and Peru. While an unambiguous diagnosis is not possible, this document lays the groundwork for progress toward comprehensive impact evaluations and, eventually, to the consolidation of MTFs in the region.
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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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