80 datasets found
  1. Data from: Monetary Policy Tightening and Long-Term Interest Rates

    • clevelandfed.org
    Updated Sep 1, 2013
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    Federal Reserve Bank of Cleveland (2013). Monetary Policy Tightening and Long-Term Interest Rates [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2013/ec-201308-monetary-policy-tightening-and-long-term-interest-rates
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    Dataset updated
    Sep 1, 2013
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Federal Open Market Committee (FOMC) has maintained an accommodative monetary policy ever since the 2007 recession, and some financial market participants are concerned that long-term interest rates may increase more than should be expected when the Committee starts to tighten. But a look at five historical episodes of monetary policy tightening suggests that such an outcome is more likely when markets are surprised by policy actions or economic developments. Given the Fed’s new policy tools, especially its evolution toward more transparent communications, the odds of a surprise are far less likely now.

  2. k

    Data from: Capital Flows and Monetary Policy in Emerging Markets around Fed...

    • kansascityfed.org
    pdf
    Updated Oct 19, 2023
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    (2023). Capital Flows and Monetary Policy in Emerging Markets around Fed Tightening Cycles [Dataset]. https://www.kansascityfed.org/research/economic-review/capital-flows-and-monetary-policy-in-emerging-markets-around-fed-tightening-cycles/
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    pdfAvailable download formats
    Dataset updated
    Oct 19, 2023
    Description

    Emerging markets have responded foremost to domestic inflation when raising rates during U.S. tightening cycles.

  3. Central bank policy rates in advanced and emerging economies 2019-2025

    • statista.com
    Updated Nov 12, 2025
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    Statista (2025). Central bank policy rates in advanced and emerging economies 2019-2025 [Dataset]. https://www.statista.com/statistics/1034304/central-bank-policy-rates-advanced-emerging-economies/
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    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Oct 2025
    Area covered
    Worldwide
    Description

    From January 2022 to October 2025, a global trend emerged as almost all advanced and emerging economies increased their central bank policy rates. This widespread tightening of monetary policy was in response to inflationary pressures and economic challenges. However, a shift occurred in the latter half of 2025, with most countries beginning to lower their rates, signaling a new phase in the global economic cycle and monetary policy approach. Since September 2023, ****** has consistently held the highest interest rate among the observed countries.

  4. Size of Federal Reserve's balance sheet 2007-2025

    • statista.com
    Updated Nov 7, 2025
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    Statista (2025). Size of Federal Reserve's balance sheet 2007-2025 [Dataset]. https://www.statista.com/statistics/1121448/fed-balance-sheet-timeline/
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    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2007 - Oct 29, 2025
    Area covered
    United States
    Description

    The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately **** trillion U.S. dollars by October 29, 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic—both of which resulted in negative annual GDP growth in the U.S.—showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by August 2025, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in August 2023, before the first rate cut since September 2021 occurred in September 2024. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2024, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

  5. Does Tighter Monetary Policy Tighten the Labor Market?

    • clevelandfed.org
    Updated Oct 18, 2023
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    Federal Reserve Bank of Cleveland (2023). Does Tighter Monetary Policy Tighten the Labor Market? [Dataset]. https://www.clevelandfed.org/publications/research-in-brief/2023/rib-20231018-tighter-policy-tighter-labor-market
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    Dataset updated
    Oct 18, 2023
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    US job vacancies increased during the pandemic, but they’ve since declined. Economists are exploring whether this is a response to rising interest rates or to other labor market factors.

  6. An Update on the Economy and Monetary Policy

    • clevelandfed.org
    Updated Jul 10, 2023
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    Federal Reserve Bank of Cleveland (2023). An Update on the Economy and Monetary Policy [Dataset]. https://www.clevelandfed.org/collections/speeches/2023/sp-20230710-update-on-economy-and-monetary-policy
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    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Loretta J. Mester-President and Chief Executive Officer-Federal Reserve Bank of Cleveland-2023 UC San Diego Economics Roundtable, San Diego, CA (via videoconference), July 10, 2023, 11:00 AM EDT

  7. H

    Replication Data for: Monetary Tightening, Commercial Real Estate Distress,...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 19, 2025
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    Erica Xuewei Jiang; Gregor Matvos; Tomasz Piskorski; Amit Seru (2025). Replication Data for: Monetary Tightening, Commercial Real Estate Distress, and US Bank Fragility [Dataset]. http://doi.org/10.7910/DVN/XOFFRA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Erica Xuewei Jiang; Gregor Matvos; Tomasz Piskorski; Amit Seru
    License

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

    Description

    This is the replication package for "Monetary Tightening, Commercial Real Estate Distress, and US Bank Fragility," accepted in 2025 by the Journal of Political Economy Macroeconomics.

  8. US Financial Indicators - 1974 to 2024

    • kaggle.com
    zip
    Updated Nov 25, 2024
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    Abhishek Bhatnagar (2024). US Financial Indicators - 1974 to 2024 [Dataset]. https://www.kaggle.com/datasets/abhishekb7/us-financial-indicators-1974-to-2024
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    zip(15336 bytes)Available download formats
    Dataset updated
    Nov 25, 2024
    Authors
    Abhishek Bhatnagar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    U.S. Economic and Financial Dataset

    Dataset Description

    This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

    Key Features

    • Frequency: Monthly
    • Time Period: Last 50 years from Nov-24
    • Sources:
      • Federal Reserve Economic Data (FRED)
      • Yahoo Finance

    Dataset Feature Description

    1. Interest Rate (Interest_Rate):

      • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.
    2. Inflation (Inflation):

      • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.
    3. GDP (GDP):

      • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.
    4. Unemployment Rate (Unemployment):

      • The percentage of the labor force that is unemployed and actively seeking work.
    5. Stock Market Performance (S&P500):

      • Monthly average of the adjusted close price, representing stock market trends.
    6. Industrial Production (Ind_Prod):

      • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

    Dataset Statistics

    1. Total Entries: 599
    2. Columns: 6
    3. Memory usage: 37.54 kB
    4. Data types: float64

    Feature Overview

    • Columns:
      • Interest_Rate: Monthly Federal Funds Rate (%)
      • Inflation: CPI (All Urban Consumers, Index)
      • GDP: Real GDP (Billions of Chained 2012 Dollars)
      • Unemployment: Unemployment Rate (%)
      • Ind_Prod: Industrial Production Index (2017=100)
      • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

    Executive Summary

    This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

    The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

    Potential Use Cases

    • Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
    • Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
    • Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
    • Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

    Snap of Power Analysis

    imagehttps://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

    To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

    Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

    • Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
    • Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
    • Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
    • Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
    • Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

    Link to GitHub Repo

    https:/...

  9. Data from: How Should Monetary Policy Respond to a Contraction in Labor...

    • clevelandfed.org
    Updated Sep 6, 2022
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    Federal Reserve Bank of Cleveland (2022). How Should Monetary Policy Respond to a Contraction in Labor Supply? [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2022/ec-202213-how-should-monetary-policy-respond-to-a-contraction-in-labor-supply
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    Dataset updated
    Sep 6, 2022
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Conventional wisdom holds that a central bank should tighten monetary policy after a surprise decline in labor supply to offset the inflationary effects of the decline. However, this policy prescription comes from models of monetary policy that abstract from labor force participation. We examine the policy implications of worker entry into and exit from the labor force. We find that cyclical changes in labor force participation call for a less restrictive policy response to a decline in labor supply. The less restrictive policy response is appropriate because policy tightening reduces the labor force and thus raises wage growth. The optimal policy response dampens the reduction in the labor force and brings about a period of higher inflation.

  10. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 19, 2025
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    TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Nov 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
    Aug 4, 1971 - Oct 29, 2025
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. o

    Data from: Tight Money-Tight Credit

    • openicpsr.org
    Updated Feb 3, 2020
    + more versions
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    Julio Carrillo (2020). Tight Money-Tight Credit [Dataset]. http://doi.org/10.3886/E117504V1
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    Dataset updated
    Feb 3, 2020
    Dataset provided by
    American Economic Association
    Authors
    Julio Carrillo
    License

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

    Description

    This project contains replica codes of most tables and figures presented in the paper "Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies", in particular for Tables 3, 4 and 5, and Figures 2 to 7. Among these files, you will find those containing the model we used to conduct our analysis (compatible with Dynare version 4.5.x), as well as the solver algorithms to compute the model’s long-run equilibrium using Matlab’s parallel computing toolbox, and Andreasen, Fernández-Villaverde and Rubio-Ramírez (2017)’s pruning algorithm to solve the stochastic steady state of the model. You will also find some pre-loaded results in case you want to jump directly into replicating the paper’s figures and tables.



  12. Monthly Fed funds effective rate in the U.S. 1954-2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Monthly Fed funds effective rate in the U.S. 1954-2025 [Dataset]. https://www.statista.com/statistics/187616/effective-rate-of-us-federal-funds-monthly/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1954 - Oct 2025
    Area covered
    United States
    Description

    The U.S. federal funds effective rate underwent a dramatic reduction in early 2020 in response to the COVID-19 pandemic. The rate plummeted from 1.58 percent in February 2020 to 0.65 percent in March and further decreased to 0.05 percent in April. This sharp reduction, accompanied by the Federal Reserve's quantitative easing program, was implemented to stabilize the economy during the global health crisis. After maintaining historically low rates for nearly two years, the Federal Reserve began a series of rate hikes in early 2022, with the rate moving from 0.33 percent in April 2022 to 5.33 percent in August 2023. The rate remained unchanged for over a year before the Federal Reserve initiated its first rate cut in nearly three years in September 2024, bringing the rate to 5.13 percent. By December 2024, the rate was cut to 4.48 percent, signaling a shift in monetary policy in the second half of 2024. In January 2025, the Federal Reserve implemented another cut, setting the rate at 4.33 percent, which remained unchanged until September 2025, when another cut set the rate at 4.22 percent. In October 2025, the rate was further reduced to 4.09 percent. What is the federal funds effective rate? The U.S. federal funds effective rate determines the interest rate paid by depository institutions, such as banks and credit unions, that lend reserve balances to other depository institutions overnight. Changing the effective rate in times of crisis is a common way to stimulate the economy, as it has a significant impact on the whole economy, such as economic growth, employment, and inflation. Central bank policy rates The adjustment of interest rates in response to the COVID-19 pandemic was a coordinated global effort. In early 2020, central banks worldwide implemented aggressive monetary easing policies to combat the economic crisis. The U.S. Federal Reserve's dramatic reduction of its federal funds rate—from 1.58 percent in February 2020 to 0.05 percent by April—mirrored similar actions taken by central banks globally. While these low rates remained in place throughout 2021, mounting inflationary pressures led to a synchronized tightening cycle beginning in 2022, with central banks pushing rates to multi-year highs. By mid-2024, as inflation moderated across major economies, central banks began implementing their first rate cuts in several years, with the U.S. Federal Reserve, Bank of England, and European Central Bank all easing monetary policy.

  13. Data from: QT, Ample Reserves, and the Changing Fed Balance Sheet

    • clevelandfed.org
    Updated Apr 15, 2025
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    Federal Reserve Bank of Cleveland (2025). QT, Ample Reserves, and the Changing Fed Balance Sheet [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2025/ec-202505-qt-ample-reserves-changing-fed-balance-sheet
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Federal Reserve’s Federal Open Market Committee (FOMC) influences market interest rates by changing the administered rates that it controls, such as the interest rates on overnight repurchase and reverse repurchase agreements. This requires an ample level of bank reserves. Quantitative tightening (QT) reduces the level of reserves. To guard against supply and demand shocks that drive reserves too low, the FOMC may need to hold a buffer above the point at which reserves become scarce. In this Economic Commentary , I present evidence based on inventory theory that the estimated buffer might be relatively small, though the true number is uncertain. Treating the Federal Reserve’s balance sheet as inventory helps to estimate the level of reserves needed to stay above the scarce threshold.

  14. k

    Data from: The KC Fed LMCI Momentum Indicator Suggests Monetary Policy Is...

    • kansascityfed.org
    pdf
    Updated Apr 30, 2024
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    (2024). The KC Fed LMCI Momentum Indicator Suggests Monetary Policy Is Beginning to Weigh on Labor Markets [Dataset]. https://www.kansascityfed.org/research/economic-bulletin/the-kc-fed-lmci-momentum-indicator-suggests-monetary-policy-is-beginning-to-weigh-on-labor-markets/
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    pdfAvailable download formats
    Dataset updated
    Apr 30, 2024
    Description

    The Federal Open Market Committee has been quickly raising the federal funds rate to lower inflation. However, services inflation remains high, supported by a tight labor market with high wage growth. Recent readings in the LMCI momentum indicator suggest monetary policy tightening is beginning to weigh on labor markets, which may eventually lead to lower services inflation and lower inflation overall.

  15. Data from: How far does monetary policy reach? Evidence from...

    • figshare.com
    xlsx
    Updated Apr 9, 2018
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    Mariusz Kapuściński (2018). How far does monetary policy reach? Evidence from factor-augmented vector autoregressions for Poland [Dataset]. http://doi.org/10.6084/m9.figshare.5527588.v1
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    xlsxAvailable download formats
    Dataset updated
    Apr 9, 2018
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Mariusz Kapuściński
    License

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

    Area covered
    Poland
    Description

    This study applies factor-augmented vector autoregressions to identify the effects of monetary policy shocks in a small, open, emerging market economy. It uses data on 132 variables for Poland, ‘compressing’ them to either structural (having an economic interpretation) or economically uninterpretable factors, also known as diffusion indices. The tightening of monetary policy is found to have broad, contractionary effects. Among other things, production, employment, job offers, prices, loans and stock prices decrease, unemployment and non-performing loans increase. As one of extensions, the effects of changes in global and foreign factors are investigated. Domestic prices are found to respond to global prices of commodities and foreign prices. Domestic production and interest rates – to their foreign counterparts.

  16. F

    Assets: Total Assets: Total Assets (Less Eliminations from Consolidation):...

    • fred.stlouisfed.org
    json
    Updated Nov 28, 2025
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    (2025). Assets: Total Assets: Total Assets (Less Eliminations from Consolidation): Wednesday Level [Dataset]. https://fred.stlouisfed.org/series/WALCL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 28, 2025
    License

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

    Description

    View the total value of the assets of all Federal Reserve Banks as reported in the weekly balance sheet.

  17. Volcker Shock: federal funds, unemployment and inflation rates 1979-1987

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Volcker Shock: federal funds, unemployment and inflation rates 1979-1987 [Dataset]. https://www.statista.com/statistics/1338105/volcker-shock-interest-rates-unemployment-inflation/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1979 - 1987
    Area covered
    United States
    Description

    The Volcker Shock was a period of historically high interest rates precipitated by Federal Reserve Chairperson Paul Volcker's decision to raise the central bank's key interest rate, the Fed funds effective rate, during the first three years of his term. Volcker was appointed chairperson of the Fed in August 1979 by President Jimmy Carter, as replacement for William Miller, who Carter had made his treasury secretary. Volcker was one of the most hawkish (supportive of tighter monetary policy to stem inflation) members of the Federal Reserve's committee, and quickly set about changing the course of monetary policy in the U.S. in order to quell inflation. The Volcker Shock is remembered for bringing an end to over a decade of high inflation in the United States, prompting a deep recession and high unemployment, and for spurring on debt defaults among developing countries in Latin America who had borrowed in U.S. dollars.

    Monetary tightening and the recessions of the early '80s

    Beginning in October 1979, Volcker's Fed tightened monetary policy by raising interest rates. This decision had the effect of depressing demand and slowing down the U.S. economy, as credit became more expensive for households and businesses. The Fed funds rate, the key overnight rate at which banks lend their excess reserves to each other, rose as high as 17.6 percent in early 1980. The rate was allowed to fall back below 10 percent following this first peak, however, due to worries that inflation was not falling fast enough, a second cycle of monetary tightening was embarked upon starting in August of 1980. The rate would reach its all-time peak in June of 1981, at 19.1 percent. The second recession sparked by these hikes was far deeper than the 1980 recession, with unemployment peaking at 10.8 percent in December 1980, the highest level since The Great Depression. This recession would drive inflation to a low point during Volcker's terms of 2.5 percent in August 1983.

    The legacy of the Volcker Shock

    By the end of Volcker's terms as Fed Chair, inflation was at a manageable rate of around four percent, while unemployment had fallen under six percent, as the economy grew and business confidence returned. While supporters of Volcker's actions point to these numbers as proof of the efficacy of his actions, critics have claimed that there were less harmful ways that inflation could have been brought under control. The recessions of the early 1980s are cited as accelerating deindustrialization in the U.S., as manufacturing jobs lost in 'rust belt' states such as Michigan, Ohio, and Pennsylvania never returned during the years of recovery. The Volcker Shock was also a driving factor behind the Latin American debt crises of the 1980s, as governments in the region defaulted on debts which they had incurred in U.S. dollars. Debates about the validity of using interest rate hikes to get inflation under control have recently re-emerged due to the inflationary pressures facing the U.S. following the Coronavirus pandemic and the Federal Reserve's subsequent decision to embark on a course of monetary tightening.

  18. Historical United States Money Growth, Inflation, and Inflation Credibility

    • icpsr.umich.edu
    Updated Jun 23, 1999
    + more versions
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    Dewald, William G. (1999). Historical United States Money Growth, Inflation, and Inflation Credibility [Dataset]. http://doi.org/10.3886/ICPSR01198.v1
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    Dataset updated
    Jun 23, 1999
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Dewald, William G.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1198/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1198/terms

    Area covered
    United States
    Description

    This research focuses on the longer-term monetary relationships in historical data. Charts describing the 10-year average growth rates in the M2 monetary aggregate, nominal GDP, real GDP, and inflation are used to show that there is a consistent longer-term correlation between M2 growth, nominal GDP growth, and inflation but not between such nominal variables and real GDP growth. The data reveal extremely long cycles in monetary growth and inflation, the most recent of which was the strong upward trend in M2 growth, nominal GDP growth, and inflation during the 1960s and 1970s, and the strong downward trend since then. Data going back to the 19th century show that the most recent inflation/disinflation cycle is a repetition of earlier long monetary growth and inflation cycles in the United States historical record. Also discussed is a measure of bond market inflation credibility, defined as the difference between averages in long-term bond rates and real GDP growth. By this measure, inflation credibility hovered close to zero during the 1950s and early 1960s, but then rose to a peak of about 10 percent in the early 1980s. During the 1990s, the bond market has yet to restore the low inflation credibility that existed before inflation turned up during the 1960s. The conclusion is that the risks of starting another costly inflation/disinflation cycle could be avoided by monitoring monetary growth and maintaining a sufficiently tight policy to keep inflation low. An environment of credible price stability would allow the economy to function unfettered by inflationary distortions, which is all that can reasonably be expected of monetary policy, and is precisely what should be expected.

  19. o

    Data from: Did Monetary Policy Matter? Narrative Evidence from the Classical...

    • openicpsr.org
    Updated Oct 2, 2017
    + more versions
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    Jason Lennard (2017). Did Monetary Policy Matter? Narrative Evidence from the Classical Gold Standard [Dataset]. http://doi.org/10.3886/E101006V2
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    Dataset updated
    Oct 2, 2017
    Authors
    Jason Lennard
    License

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

    Time period covered
    1890 - 1913
    Area covered
    United Kingdom
    Description

    This paper investigates the causal effects of monetary policy on the British economy during the classical gold standard. Based on the narrative identification approach, I find that following a one percentage point monetary tightening, unemployment rose by 0.9 percentage points, while inflation fell by 3.1 percentage points. In addition, monetary policy shocks accounted for a third of macroeconomic volatility.

  20. Data from: Oil Prices, Monetary Policy, and the Macroeconomy

    • clevelandfed.org
    Updated Jul 1, 2005
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    Federal Reserve Bank of Cleveland (2005). Oil Prices, Monetary Policy, and the Macroeconomy [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2005/ec-20050701-oil-prices-monetary-policy-and-the-macroeconomy
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    Dataset updated
    Jul 1, 2005
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Recessions are associated with both rising oil prices and increases in the federal funds rate. Are recessions caused by the spikes in oil prices or by the sharp tightening of monetary policy? The authors discuss how to disentangle these two effects.

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Federal Reserve Bank of Cleveland (2013). Monetary Policy Tightening and Long-Term Interest Rates [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2013/ec-201308-monetary-policy-tightening-and-long-term-interest-rates
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Data from: Monetary Policy Tightening and Long-Term Interest Rates

Related Article
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Dataset updated
Sep 1, 2013
Dataset authored and provided by
Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
Description

The Federal Open Market Committee (FOMC) has maintained an accommodative monetary policy ever since the 2007 recession, and some financial market participants are concerned that long-term interest rates may increase more than should be expected when the Committee starts to tighten. But a look at five historical episodes of monetary policy tightening suggests that such an outcome is more likely when markets are surprised by policy actions or economic developments. Given the Fed’s new policy tools, especially its evolution toward more transparent communications, the odds of a surprise are far less likely now.

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