34 datasets found
  1. Simple Monetary Policy Rules

    • clevelandfed.org
    csv
    Updated Jun 5, 2025
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    Federal Reserve Bank of Cleveland (2025). Simple Monetary Policy Rules [Dataset]. https://www.clevelandfed.org/indicators-and-data/simple-monetary-policy-rules
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    csvAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We present federal funds rates coming from a range of simple monetary policy rules based on multiple economic forecasts. Use our tool to create your own rule. Released quarterly.

  2. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.statista.com/statistics/1312060/us-inflation-rate-federal-reserve-interest-rate-monthly/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2024
    Description

    The inflation rate in the United States declined significantly between June 2022 and May 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  3. o

    Data and Code for "The Importance of Fed Chair Speeches as a Monetary Policy...

    • openicpsr.org
    Updated Apr 30, 2023
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    Eric T. Swanson (2023). Data and Code for "The Importance of Fed Chair Speeches as a Monetary Policy Tool" [Dataset]. http://doi.org/10.3886/E190488V1
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    Dataset updated
    Apr 30, 2023
    Dataset provided by
    American Economic Association
    Authors
    Eric T. Swanson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1988 - Dec 31, 2019
    Area covered
    United States
    Description

    I estimate the effects of FOMC announcements, post-FOMC press conferences, and speeches and Congressional testimony by the Fed Chair on stock prices, Treasury yields, and interest rate futures from 1988–2019. I show that for all but the very shortest-maturity interest rate futures, Fed Chair speeches are more important than FOMC announcements. My results suggest that the previous literature’s focus on FOMC announcements has ignored the most important source of variation in U.S. monetary policy.

  4. F

    FOMC Summary of Economic Projections for the Fed Funds Rate, Range, Midpoint...

    • fred.stlouisfed.org
    json
    Updated Jun 18, 2025
    + more versions
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    (2025). FOMC Summary of Economic Projections for the Fed Funds Rate, Range, Midpoint [Dataset]. https://fred.stlouisfed.org/series/FEDTARRM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Range, Midpoint (FEDTARRM) from 2025 to 2027 about projection, federal, rate, and USA.

  5. The Great Moderation: inflation and real GDP growth in the U.S. 1985-2007

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). The Great Moderation: inflation and real GDP growth in the U.S. 1985-2007 [Dataset]. https://www.statista.com/statistics/1345209/great-moderation-us-inflation-real-gdp/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1985 - 2007
    Area covered
    United States
    Description

    During the period beginning roughly in the mid-1980s until the Global Financial Crisis (2007-2008), the U.S. economy experienced a time of relative economic calm, with low inflation and consistent GDP growth. Compared with the turbulent economic era which had preceded it in the 1970s and the early 1980s, the lack of extreme fluctuations in the business cycle led some commentators to suggest that macroeconomic issues such as high inflation, long-term unemployment and financial crises were a thing of the past. Indeed, the President of the American Economic Association, Professor Robert Lucas, famously proclaimed in 2003 that "central problem of depression prevention has been solved, for all practical purposes". Ben Bernanke, the future chairman of the Federal Reserve during the Global Financial Crisis (GFC) and 2022 Nobel Prize in Economics recipient, coined the term 'the Great Moderation' to describe this era of newfound economic confidence. The era came to an abrupt end with the outbreak of the GFC in the Summer of 2007, as the U.S. financial system began to crash due to a downturn in the real estate market.

    Causes of the Great Moderation, and its downfall

    A number of factors have been cited as contributing to the Great Moderation including central bank monetary policies, the shift from manufacturing to services in the economy, improvements in information technology and management practices, as well as reduced energy prices. The period coincided with the term of Fed chairman Alan Greenspan (1987-2006), famous for the 'Greenspan put', a policy which meant that the Fed would proactively address downturns in the stock market using its monetary policy tools. These economic factors came to prominence at the same time as the end of the Cold War (1947-1991), with the U.S. attaining a new level of hegemony in global politics, as its main geopolitical rival, the Soviet Union, no longer existed. During the Great Moderation, the U.S. experienced a recession twice, between July 1990 and March 1991, and again from March 2001 tom November 2001, however, these relatively short recessions did not knock the U.S. off its growth path. The build up of household and corporate debt over the early 2000s eventually led to the Global Financial Crisis, as the bursting of the U.S. housing bubble in 2007 reverberated across the financial system, with a subsequent credit freeze and mass defaults.

  6. U.S. Fed Funds Target Rate

    • kaggle.com
    Updated Nov 16, 2023
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    Aniket Patil (2023). U.S. Fed Funds Target Rate [Dataset]. https://www.kaggle.com/aniketkolte04/u-s-fed-funds-target-rate/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 16, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aniket Patil
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Description

    This dataset contains the actual and predicted federal funds target rate for the United States from 1990 to 2023. The federal funds target rate is the interest rate at which depository institutions lend their excess reserves to each other overnight. It is set by the Federal Open Market Committee (FOMC) and is a key tool used by the Federal Reserve to influence the economy.

    The dataset includes the following five columns:

    Release Date: The date on which the data was released by the Federal Reserve. Time: The time of day at which the data was released. Actual: The actual federal funds target rate. Predicted: The predicted federal funds target rate. Forecast: The forecast federal funds target rate.

    Data Usage

    This dataset can be used for a variety of purposes, including: - Analyzing trends in the federal funds target rate over time. - Forecasting the future path of the federal funds target rate. - Assessing the effectiveness of monetary policy. - Data Quality

    The data for this dataset is of high quality. The Federal Reserve is a reputable source of data and the data is updated regularly.

    Data Limitations

    The data for this dataset is limited to the United States. Additionally, the data does not include information on the factors that influenced the Federal Open Market Committee's decision to set the federal funds target rate.

  7. T

    Japan Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 17, 2025
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    TRADING ECONOMICS (2025). Japan Interest Rate [Dataset]. https://tradingeconomics.com/japan/interest-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 2, 1972 - Jun 17, 2025
    Area covered
    Japan
    Description

    The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Dec 15, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

    The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
    The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
    The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

    Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

    How is this Foreign Exchange Industry segmented?

    The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The reporting dealers segment is estimated to witness significant growth during the forecast period.

    The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

  9. Debt Financing Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    Updated Apr 8, 2025
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    Technavio (2025). Debt Financing Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, Spain, UK), APAC (China, Japan, South Korea), Middle East and Africa , and South America [Dataset]. https://www.technavio.com/report/debt-financing-market-industry-analysis
    Explore at:
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United Kingdom, United States, Global
    Description

    Snapshot img

    Debt Financing Market Size 2025-2029

    The debt financing market size is forecast to increase by USD 7.89 billion at a CAGR of 6.4% between 2024 and 2029.

    The market is experiencing significant growth, driven by the tax advantages of debt financing for businesses. The ability to deduct interest payments from taxable income makes debt financing an attractive option for companies seeking capital. Another key trend in the market is the increasing collaboration and mergers and acquisitions (M&A) activity, which often involves the use of debt financing to fund transactions. However, it is important to note that collateral may be necessary for some forms of debt financing, adding layer of complexity to the process.
    Companies seeking to capitalize on these opportunities must navigate the challenges of securing adequate collateral and managing debt levels to maintain financial health and wellness. Effective debt management strategies, such as optimizing debt structures and maintaining strong credit ratings, will be essential for companies looking to succeed in this dynamic market. Debt financing is a significant component of the regional capital markets, with financial institutions, banks, and insurance companies serving as major players.
    

    What will be the Size of the Debt Financing Market during the forecast period?

    Request Free Sample

    The market encompasses various debt instruments issued by entities to secure funds for business operations and growth. Market dynamics are influenced by several factors, including interest rate cycles, monetary policy, and economic growth. Basel Accords and the Financial Stability Board set standards for financial institutions' risk management and capital adequacy, impacting debt issuance. Government debt, securitization transactions, and various debt instruments like interest rate swaps, loan-to-value ratios, and credit-linked notes, shape the market landscape. Market volatility, driven by factors such as business cycles, credit spreads, and risk appetite, influences investor sentiment. Debt sustainability, fiscal policy, and ESG investing are increasingly important considerations for issuers and investors.
    Asset managers are focusing on leveraging technology and data analytics to improve operational efficiency and meet the evolving needs of investors. The market is, however, not without challenges, with regulatory compliance and interest rate risks being major concerns. Overall, the income asset management market in North America is poised for steady growth, driven by the demand for debt financing and wealth management solutions, and the increasing adoption of advanced analytics and ETFs.
    

    How is this Debt Financing Industry segmented?

    The debt financing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Source
    
      Private
      Public
    
    
    Type
    
      Long-term
      Short-term
      Long-term
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        Spain
        UK
    
    
      APAC
    
        China
        Japan
        South Korea
    
    
      Middle East and Africa
    
    
    
      South America
    

    By Source Insights

    The private segment is estimated to witness significant growth during the forecast period. Debt financing is a popular financing method for businesses seeking to expand operations while maintaining ownership. Private debt financing, in particular, has gained significant traction among financial specialists worldwide due to its importance in funding small- and mid-sized organizations globally. The demand for debt financing by startups has increased annually, leading to the sector's substantial growth over the last five years. This financing option's flexibility enables businesses to customize their financing solutions to address specific needs, making it an allure for numerous organizations. Private debt financing encompasses various instruments such as Real Estate Debt, Term Loans, Leveraged Buyouts, Asset Securitization, Infrastructure Financing, Loan Servicing, and more.

    Financial Leverage, Debt Covenants, Credit Risk, and Interest Rate Risk are essential considerations in this sector. Hedge Funds, Collateralized Loan Obligations, High Yield Debt, and Investment Grade Debt are alternative investment areas. Private Equity, Syndicated Loans, Venture Debt, Bridge Financing, and Mezzanine Financing are also integral components. Financial Institutions offer various debt financing solutions, including Capital Markets, Expansion Financing, Growth Capital, Debt Refinancing, and Debt Consolidation. Financial Modeling, Return on Investment, and Risk Management are crucial aspects of debt financing. Debt Advisory, Financial Engineering, and Debt Capital Markets are essential services in this field. Small Business Loans, Supp

  10. U

    United States Assets: Outs: IMFC: Policy Pay: Nonfarm Noncorporate

    • ceicdata.com
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    CEICdata.com, United States Assets: Outs: IMFC: Policy Pay: Nonfarm Noncorporate [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-instruments-flows-and-outstanding-identified-miscellaneous-financial-claims-part-ii
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Description

    Assets: Outs: IMFC: Policy Pay: Nonfarm Noncorporate data was reported at 119.130 USD bn in Mar 2018. This records an increase from the previous number of 119.062 USD bn for Dec 2017. Assets: Outs: IMFC: Policy Pay: Nonfarm Noncorporate data is updated quarterly, averaging 51.725 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 142.457 USD bn in Dec 2012 and a record low of 2.512 USD bn in Dec 1951. Assets: Outs: IMFC: Policy Pay: Nonfarm Noncorporate data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB068: Funds by Instruments: Flows and Outstanding: Identified Miscellaneous Financial Claims Part II.

  11. d

    Replication data for: Fiscal Policy and Economic Inequality in the U.S....

    • datamed.org
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    Replication data for: Fiscal Policy and Economic Inequality in the U.S. States: Taxing and Spending from 1976 to 2006 [Dataset]. https://datamed.org/display-item.php?repository=0012&id=56d4b8a3e4b0e644d3136801&query=CFLAR%20incomes
    Explore at:
    Area covered
    United States
    Description

    To what extent can state governments influence economic inequality? How do state fiscal policies of redistribution affect families in different economic situations? Using a large database of state fiscal policymaking tools (taxing and spending) between 1976 and 2006 we examine the effect of these tools on state level inequality as well as the average incomes of families in different economic groups. We find that state taxing and spending efforts can influence these indicators of economic inequality, though these fiscal policy tools can have differential effects. Spending on unemployment compensation and cash assistance as well as revenue from taxes on corporations are found to reduce state level inequality. We also find unemployment compensation to positively benefit the bottom 10th percentile of income earners, while the inheritance tax helps all income groups. Corporate tax revenue is associated with higher middle class incomes, while income tax revenue benefits both middle and upper incomes. Sales tax revenue positively benefits wealthy earners. Higher property tax revenue is associated with decreased income for all groups. These results suggest that state governments can affect redistribution through fiscal policies by affecting both state level inequality as well as the economic fortunes of different income groups.

  12. T

    Indonesia Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 16, 2025
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    TRADING ECONOMICS (2025). Indonesia Interest Rate [Dataset]. https://tradingeconomics.com/indonesia/interest-rate
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2005 - Jul 16, 2025
    Area covered
    Indonesia
    Description

    The benchmark interest rate in Indonesia was last recorded at 5.25 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. United States Assets: Outs: IMFC: Policy Pay: Household

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Assets: Outs: IMFC: Policy Pay: Household [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-instruments-flows-and-outstanding-identified-miscellaneous-financial-claims-part-ii/assets-outs-imfc-policy-pay-household
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Description

    United States Assets: Outs: IMFC: Policy Pay: Household data was reported at 411.956 USD bn in Mar 2018. This records an increase from the previous number of 408.337 USD bn for Dec 2017. United States Assets: Outs: IMFC: Policy Pay: Household data is updated quarterly, averaging 63.778 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 417.640 USD bn in Sep 2017 and a record low of 3.832 USD bn in Dec 1951. United States Assets: Outs: IMFC: Policy Pay: Household data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB068: Funds by Instruments: Flows and Outstanding: Identified Miscellaneous Financial Claims Part II.

  14. U

    United States Assets: Flow: IMFC: Policy Pay: Nonfinancial Corporate

    • ceicdata.com
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    CEICdata.com, United States Assets: Flow: IMFC: Policy Pay: Nonfinancial Corporate [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-instruments-flows-and-outstanding-identified-miscellaneous-financial-claims-part-ii
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Description

    Assets: Flow: IMFC: Policy Pay: Nonfinancial Corporate data was reported at 2.245 USD bn in Mar 2018. This records an increase from the previous number of -6.939 USD bn for Dec 2017. Assets: Flow: IMFC: Policy Pay: Nonfinancial Corporate data is updated quarterly, averaging 0.604 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 17.861 USD bn in Sep 2017 and a record low of -6.939 USD bn in Dec 2017. Assets: Flow: IMFC: Policy Pay: Nonfinancial Corporate data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB068: Funds by Instruments: Flows and Outstanding: Identified Miscellaneous Financial Claims Part II.

  15. H

    Data from: The Currency Constraint: Explaining the Selective Enforcement of...

    • dataverse.harvard.edu
    Updated Oct 30, 2024
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    Navin Bapat (2024). The Currency Constraint: Explaining the Selective Enforcement of U.S. Financial Sanctions [Dataset]. http://doi.org/10.7910/DVN/3IZMIA
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 30, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Navin Bapat
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Economic sanctions remain one of the most widely used foreign policy tools. At the same time, their enforcement is often incomplete and selective. If sender states are concerned about sanctions effectiveness, variation in enforcement is counterproductive. We argue that sender states face a trade-off between effective coercion in the present and the ability to use coercion in the future. We develop a formal model to explore the mixed incentives of senders such as the U.S. in enforcing their financial sanctions against banks. Using data on U.S. enforcement actions taken in support of the Iranian sanctions regime from 2003 to 2014 and three illustrative case examples, we evaluate the hypothesis that sanctions enforcement should be greater when the position of the U.S. dollar is strong relative to alternative settlement mechanisms. Our findings support this contention.

  16. Opinion of U.S. adults on Biden's responsibility for inflation rate 2022

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Opinion of U.S. adults on Biden's responsibility for inflation rate 2022 [Dataset]. https://www.statista.com/statistics/1307099/biden-perceived-responsibility-inflation-rate-us/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 9, 2022 - Jul 11, 2022
    Area covered
    United States
    Description

    According to a survey conducted between July 9 and July 11, 2022, 45 percent of Americans thought that Joe Biden was highly responsible for the current trend in the inflation rate. This is compared to 26 percent of Americans who said President Biden did not have a lot of responsibility for the current inflation rate.

    Inflation in the U.S. Global events in 2022 had a significant impact on the United States. Inflation rose from 1.4 percent in January 2021 to 9.1 percent in June 2022. Significantly higher prices of basic goods led to increased concern over the state of the economy, and the ability to cover increasing monthly costs with the same income. Low interest rates, COVID-19-related supply constraints, corporate profiteering, and strong consumer spending had already put pressure on prices before Russia’s invasion of Ukraine in February 2022. Despite rising wages on paper, the rapid growth of consumer prices resulted in an overall decline in real hourly earnings in the first half of 2022.

    How much control does Joe Biden have over inflation? The bulk of economic performance and the inflation rate is determined by factors outside the President’s direct control, but U.S. presidents are often held accountable for it. Some of those factors are market forces, private business, productivity growth, the state of the global economy, and policies of the Federal Reserve. Although high-spending decisions such as the 2021 COVID-19 relief bill may have contributed to rising inflation rates, the bill has been seen by economists as a necessary intervention for preventing a recession at the time, as well as being of significant importance to low-income workers impacted by the pandemic.

    The most important tool for curbing inflation and controlling the U.S. economy is the Federal Reserve. The Reserve has the ability to set, raise, and lower interest rates and determine the wider monetary policy for the United States – something out of the president’s control. In June 2022, the Reserve announced it would raise interest rates 0.75 percent for the second time that year – hoisting the rate to a target range of 2.25 to 2.5 percent – in an attempt to slow consumer demand and balance demand with supply. However, it can often take time before the impacts of interventions by the Federal Reserve are seen in the public’s day-to-day lives. Most economists expect this wave of inflation to pass in a year to 18 months.

  17. T

    Euro Area Interest Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 23, 2025
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    TRADING ECONOMICS (2025). Euro Area Interest Rate [Dataset]. https://tradingeconomics.com/euro-area/interest-rate
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 18, 1998 - Jul 24, 2025
    Area covered
    Euro Area
    Description

    The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. T

    Turkey Interest Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 19, 2025
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    TRADING ECONOMICS (2025). Turkey Interest Rate [Dataset]. https://tradingeconomics.com/turkey/interest-rate
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1990 - Jun 19, 2025
    Area covered
    Türkiye
    Description

    The benchmark interest rate in Turkey was last recorded at 46 percent. This dataset provides the latest reported value for - Turkey Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. United States Assets: Flow: IMFC: Policy Pay: Household

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States Assets: Flow: IMFC: Policy Pay: Household [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-instruments-flows-and-outstanding-identified-miscellaneous-financial-claims-part-ii/assets-flow-imfc-policy-pay-household
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Description

    United States Assets: Flow: IMFC: Policy Pay: Household data was reported at 3.619 USD bn in Mar 2018. This records an increase from the previous number of -9.303 USD bn for Dec 2017. United States Assets: Flow: IMFC: Policy Pay: Household data is updated quarterly, averaging 0.693 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 23.352 USD bn in Sep 2017 and a record low of -11.541 USD bn in Dec 2010. United States Assets: Flow: IMFC: Policy Pay: Household data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB068: Funds by Instruments: Flows and Outstanding: Identified Miscellaneous Financial Claims Part II.

  20. J

    US fiscal policy shocks: Proxy-SVAR overidentification via GMM (replication...

    • journaldata.zbw.eu
    csv, txt, zip
    Updated Oct 17, 2023
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    Allan W. Gregory; James McNeil; Gregor W. Smith; Allan W. Gregory; James McNeil; Gregor W. Smith (2023). US fiscal policy shocks: Proxy-SVAR overidentification via GMM (replication data) [Dataset]. http://doi.org/10.15456/jae.2023261.1237001711
    Explore at:
    csv(26142), txt(729), zip(24869)Available download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Allan W. Gregory; James McNeil; Gregor W. Smith; Allan W. Gregory; James McNeil; Gregor W. Smith
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Using external instruments one can recover the effects of individual shocks without fully identifying a VAR. We show that fully or almost fully instrumenting a VAR--that is, using an instrument for each shock--allows one to overidentify the model by incorporating the condition that the structural shocks are uncorrelated, via GMM. We apply our approach to a fiscal VAR for the US over 1948-2019, where the overidentifying restrictions are not rejected. The overidentified SVAR yields (a) greater precision in estimating impulse response functions and multipliers and (b) measures of the effects of non-fiscal shocks even when there is no instrument for them.

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Federal Reserve Bank of Cleveland (2025). Simple Monetary Policy Rules [Dataset]. https://www.clevelandfed.org/indicators-and-data/simple-monetary-policy-rules
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Simple Monetary Policy Rules

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8 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
Jun 5, 2025
Dataset authored and provided by
Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

We present federal funds rates coming from a range of simple monetary policy rules based on multiple economic forecasts. Use our tool to create your own rule. Released quarterly.

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