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International Monetary Fund

The International Monetary Fund (IMF) is an international organization that was initiated in 1944 at the Bretton Woods Conference and formally created in 1945 by 29 member countries. The IMF's stated goal was to assist in the reconstruction of the world's international payment system post–World War II. The IMF currently has a near-global membership of 188 countries. To become a member, a country must apply and then be accepted by a majority of the existing members. Upon joining, each member country of the IMF is assigned a quota, based broadly on its relative size in the world economy. The IMF provides policy advice and financing to members in economic difficulties and also works with developing nations to help them achieve macroeconomic stability and reduce poverty.

Alle Datensätze:  B C E F G H I P R S W
  • B
    • Mai 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 28 Mai, 2019
      Datensatz auswählen
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
  • C
    • November 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 14 November, 2019
      Datensatz auswählen
      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • Dezember 2018
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 22 Februar, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • April 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Sandeep Reddy
      Zugriff am: 20 August, 2015
      Datensatz auswählen
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • Dezember 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 April, 2016
      Datensatz auswählen
      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
  • E
    • Oktober 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 22 Oktober, 2015
      Datensatz auswählen
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
  • F
    • November 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 November, 2019
      Datensatz auswählen
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • August 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 16 August, 2019
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      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
    • Dezember 2018
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 07 März, 2019
      Datensatz auswählen
      The IMF’s Fiscal Decentralization Dataset compiles indicators widely used by academics and policymakers to assess recent trends, conduct benchmark analysis, and identify the causes, and consequences of fiscal decentralization for a global sample of IMF members.   Fiscal decentralization indicators are computed using fiscal data on flows and stocks of the general government sector disaggregated between central and subnational government subsectors (state/provincial/regional, and local) measured within the framework of the Government Finance Statistics Manual, 2014.
  • G
    • Januar 2017
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 09 Februar, 2017
      Datensatz auswählen
      This dataset includes gender inequality and development indices.
    • Dezember 2018
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 13 Februar, 2019
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      The Global Debt Database (GDD) is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor. The dataset comprises total gross debt of the (private and public) non financial sector for an unbalanced panel of 190 advanced economies, emerging market economies and low-income countries, dating back to 1950. For more details on the methodology and definitions, please refer to Mbaye, Moreno Badia and Chae (2018). 
    • Juni 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 19 Juli, 2018
      Datensatz auswählen
      The energy subsidy estimates reported here are based on the broad notion of post-tax subsidies, which arise when consumer prices are below supply costs plus a tax to reflect environmental damage and an additional tax applied to all consumption goods to raise government revenues. Pre-tax subsidies, which arise when consumer prices are below supply costs, are also reported as a component of post-tax subsidies. These subsidies will not necessarily coincide with definitions used by governments or with their reported subsidy numbers. The energy subsidy estimates are not available for the following countries in 2013: Bhutan, Central African Republic, Chad, Comoros, Eritrea, Fiji, Gambia, Guinea, Guinea-Bissau, Kiribati, Kosovo, Lao P.D.R., Liberia, Maldives, Marshall Islands, Mauritius, Micronesia, Niger, Palau, Samoa, San Marino, São Tomé and Príncipe, Seychelles, Sierra Leone, Solomon Islands, South Sudan, St. Lucia, St. Vincent and the Grenadines, Swaziland, Timor-Leste, Tonga, Tuvalu, and Vanuatu. In 2015, estimates are not available for two addtional countries: Burundi and Togo.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 Oktober, 2019
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      Vulnerabilities in a Maturing Credit Cycle The October 2019 Global Financial Stability Report (GFSR) finds that despite significant variability over the past two quarters, financial conditions remain accommodative. As a result, financial vulnerabilities have continued to build in the sovereign, corporate, and non bank financial sectors in several systemically important countries, leading to elevated medium-term risks. The report attempts to provide a comprehensive assessment of these vulnerabilities while focusing specifically on corporate sector debt in advanced economies, the sovereign–financial sector nexus in the euro area, China’s financial imbalances, volatile portfolio flows to emerging markets, and downside risks to the housing market. These vulnerabilities require action by policymakers, including through the clear communication of any changes in their monetary policy outlook, the deployment and expansion of macroprudential tools, the stepping up of measures to repair public and private sector balance sheets, and the strengthening of emerging market resilience to foreign portfolio out flows. Downside Risks to House Prices The study and quantifies house prices at risk, a measure of downside risks to future house price growth—using theory, insights from past analyses, and new statistical techniques applied to 32 advanced and emerging market economies and major cities. The chapter finds that lower house price momentum, overvaluation, excessive credit growth, and tighter financial conditions predict heightened downside risks to house prices up to three years ahead. The measure of house prices at risk helps forecast downside risks to GDP growth and adds to early-warning models for financial crises. Policymakers can use estimates of house prices at risk to complement other surveillance indicators of housing market vulnerabilities and guide macroprudential policy actions aimed at building buffers and reducing vulnerabilities. Downside risks to house prices could also be relevant for monetary policymakers when forming their views on the downside risks to the economic and inflation outlook. Authorities considering measures to manage capital flows might also find such information useful when a surge in capital inflows increases downside risks to house prices and when other policy options are limited.
    • November 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 12 November, 2019
      Datensatz auswählen
      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 28 Oktober, 2019
      Datensatz auswählen
      This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 28 Oktober, 2019
      Datensatz auswählen
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • August 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 09 August, 2019
      Datensatz auswählen
      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 24 Oktober, 2019
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      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 24 Oktober, 2019
      Datensatz auswählen
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
    • Mai 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 November, 2019
      Datensatz auswählen
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
  • H
    • November 2016
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 26 Mai, 2017
      Datensatz auswählen
      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
  • I
    • Juli 2017
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 10 Oktober, 2017
      Datensatz auswählen
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 19 November, 2019
      Datensatz auswählen
      The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.
    • Juli 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 Juli, 2019
      Datensatz auswählen
      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 23 Oktober, 2019
      Datensatz auswählen
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year.
    • November 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 14 November, 2019
      Datensatz auswählen
      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • März 2016
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 25 März, 2016
      Datensatz auswählen
      Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
    • Oktober 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 13 November, 2019
      Datensatz auswählen
    • Dezember 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 25 März, 2016
      Datensatz auswählen
      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
  • P
    • September 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 18 September, 2019
      Datensatz auswählen
      This dataset covers only Cross-Country-Concepts - Portfolio Investment related indicators. Please visit Principal Global Indicators - Data by Indicator for other set of Principal Global Indicators. 
    • November 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 08 November, 2019
      Datensatz auswählen
      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
    • April 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Shakthi Krishnan
      Zugriff am: 13 August, 2015
      Datensatz auswählen
      Private fixed investment in advanced economies contracted sharply during the global financial crisis, and there has been little recovery since. Investment has generally slowed more gradually in the rest of the world. Although housing investment fell especially sharply during the crisis, business investment accounts for the bulk of the slump, and the overriding factor holding it back has been the overall weakness of economic activity. In some countries, other contributing factors include financial constraints and policy uncertainty. These findings suggest that addressing the general weakness in economic activity is crucial for restoring growth in private investment.
  • R
    • Oktober 2015
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 27 Oktober, 2015
      Datensatz auswählen
      Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
  • S
    • Februar 2012
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Datensatz auswählen
      This database covers the universe of systemic banking crises for the period 1970-2009, and also includes data on the resolution and fiscal and economic costs of banking crises. Note: Laeven, Luc and Fabian Valencia, 2010, Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF working paper 10/146.
  • W
    • März 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Sandeep Reddy
      Zugriff am: 14 Mai, 2019
      Datensatz auswählen
      The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.

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