100+ datasets found
  1. Data from: Nominal Facts and the October 1979 Policy Change

    • icpsr.umich.edu
    Updated Apr 2, 2001
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gavin, William T.; Kydland, Finn E. (2001). Nominal Facts and the October 1979 Policy Change [Dataset]. http://doi.org/10.3886/ICPSR01233.v1
    Explore at:
    Dataset updated
    Apr 2, 2001
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Gavin, William T.; Kydland, Finn E.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1233/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1233/terms

    Area covered
    United States
    Description

    Researchers depend on observed regularities in macroeconomic data to guide the development of theory. One problem in developing monetary models of the business cycle is that there seems to be a great deal of instability in nominal data. Using data from 1959:Q1 to 1998:Q4, the authors document changes in the cyclical behavior of nominal data series that appear after 1979:Q3, when the Federal Reserve implemented a policy to end the acceleration of inflation. Such changes in cyclical behavior were not apparent in real variables. The authors conclude that in order to find regularities in nominal datasets, it may be necessary to examine and compare episodes with similar monetary policy regimes.

  2. United States Nominal GDP

    • ceicdata.com
    Updated Feb 15, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2020). United States Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/united-states/nominal-gdp
    Explore at:
    Dataset updated
    Feb 15, 2020
    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, 2020 - Mar 1, 2023
    Area covered
    United States
    Description

    Key information about United States Nominal GDP

    • United States Nominal GDP reached 6,621.6 USD bn in Mar 2023, compared with 6,534.5 USD bn in the previous quarter.
    • Nominal GDP in US is updated quarterly, available from Mar 1947 to Mar 2023, with an average number of 1,057.5 USD bn.
    • The data reached an all-time high of 6,621.6 USD bn in Mar 2023 and a record low of 60.8 USD bn in Mar 1947.

    CEIC de-annualizes quarterly Nominal GDP. The Bureau of Economic Analysis provides annualized Nominal GDP in USD.


    Related information about United States Nominal GDP

    • In the latest reports, US GDP expanded 1.6 % YoY in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 5.4 % in Mar 2023.
    • US GDP Per Capita reached 59,484.0 USD in Dec 2017.
    • Its Gross Savings Rate was measured at 15.9 % in Mar 2023.
    • For Nominal GDP contributions, Investment accounted for 20.7 % in Mar 2023.
    • Public Consumption accounted for 14.1 % in Mar 2023.
    • Private Consumption accounted for 67.9 % in Mar 2023.

  3. Yield Curve Models and Data - Nominal Yield Curve

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - Nominal Yield Curve [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-nominal-yield-curve
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    These are nominal yield curves, obtained by fitting a parametric form to the prices of off-the-run nominal Treasury coupon securities. The data are available at daily frequency, from 1961 to present.

  4. Brazil Nominal GDP Growth

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Brazil Nominal GDP Growth [Dataset]. https://www.ceicdata.com/en/indicator/brazil/nominal-gdp-growth
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Brazil
    Description

    Key information about Brazil Nominal GDP Growth

    • Brazil Nominal GDP Growth was reported at 9.591 % in Dec 2024.
    • This records an increase from the previous number of 7.961 % for Sep 2024.
    • Brazil Nominal GDP Growth data is updated quarterly, averaging 11.216 % from Mar 1991 to Dec 2024, with 136 observations.
    • The data reached an all-time high of 4,442.072 % in Jun 1994 and a record low of -4.053 % in Jun 2020.
    • Brazil Nominal GDP Growth data remains active status in CEIC and is reported by CEIC Data.
    • The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Y-o-Y Growth: Quarterly.

    CEIC calculates quarterly Nominal GDP Growth from monthly Nominal GDP. The Central Bank of Brazil provides Nominal GDP in local currency based on SCN 2010/SNA 2008. Nominal GDP prior to Q1 1996 is based on SNA 1993.

  5. T

    GDP NOMINAL by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 14, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2022). GDP NOMINAL by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gdp-nominal
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 14, 2022
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for GDP NOMINAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. Nominal effective exchange rate - 42 trading partners

    • data.europa.eu
    • opendata.marche.camcom.it
    csv, html, tsv, xml
    Updated May 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Eurostat (2025). Nominal effective exchange rate - 42 trading partners [Dataset]. https://data.europa.eu/data/datasets/ebujf40kzhxvwdduydsqw?locale=en
    Explore at:
    html, xml, csv, tsv(4589)Available download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    The nominal effective exchange rate (NEER) – 42 trading partners – is the weighted average of bilateral nominal exchange rates against the currencies of 42 selected trading partners. The data are presented as 3-year % change, 1-year % change and index 2015=100. Data source: Directorate General for Economic and Financial Affairs (DG ECFIN).

  7. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPNSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPNSAXDCUSQ) from Q1 1950 to Q1 2025 about GDP and USA.

  8. Nominal GDP driven by digitally transformed and other enterprises worldwide...

    • statista.com
    Updated May 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Nominal GDP driven by digitally transformed and other enterprises worldwide 2018-2023 [Dataset]. https://www.statista.com/statistics/1134766/nominal-gdp-driven-by-digitally-transformed-enterprises/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    While in 2018, digitally transformed enterprises accounted for 13.5 trillion U.S. dollars of the global nominal GDP, in 2023 they are forecast to account for 53.3 trillion U.S. dollars, more than half of the overall nominal GDP. This signals that digital supremacy in the global economy is near.

    Digital transformation: benefits and necessity  

    Among many other benefits, digital transformation is essential for helping businesses to create better customer experiences as well as improve their process efficiency through automation. Digitally transformed enterprises are equipped to drive new revenue and stay ahead of the competition. The difficult economic situation brought about by the global coronavirus (COVID-19) pandemic, however, has made digital transformation a necessity rather something nice to have - leading DX activities has become CIOs’ top task to help business preserve through the COVID disruption.

    Digital transformation challenges   

    Despite evidence of widespread benefits through digital transformation, its implementation is not without challenges. Businesses worldwide cite skill gaps and cultural differences as major challenges in their pursuit of digital transformation.A lack of clarity on transformation strategy and insufficient alignment across organizational departments are top reasons as to why some businesses stall momentum in their digital transformation efforts.

  9. Nominal effective exchange rate, Morocco / Broad basket

    • data.bis.org
    csv, xls
    Updated Nov 22, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bank for International Settlements (2023). Nominal effective exchange rate, Morocco / Broad basket [Dataset]. https://data.bis.org/topics/EER/BIS,WS_EER,1.0/M.N.B.MA
    Explore at:
    csv, xlsAvailable download formats
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Bank for International Settlementshttp://www.bis.org/
    License

    https://data.bis.org/help/legalhttps://data.bis.org/help/legal

    Time period covered
    Jan 1994 - May 2025
    Area covered
    Morocco
    Description

    Nominal effective exchange rate, Morocco / Broad basket

  10. T

    United States - CPI Price, Nominal

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States - CPI Price, Nominal [Dataset]. https://tradingeconomics.com/united-states/cpi-price-nominal-wb-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 30, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    CPI Price, nominal in United States was reported at 147 in 2025, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - CPI Price, nominal - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  11. T

    United States - Nominal Potential Gross Domestic Product

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2019). United States - Nominal Potential Gross Domestic Product [Dataset]. https://tradingeconomics.com/united-states/nominal-potential-gross-domestic-product-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Dec 3, 2019
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Nominal Potential Gross Domestic Product was 45188.50000 Bil. of $ in October of 2035, according to the United States Federal Reserve. Historically, United States - Nominal Potential Gross Domestic Product reached a record high of 45188.50000 in October of 2035 and a record low of 274.03395 in January of 1949. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nominal Potential Gross Domestic Product - last updated from the United States Federal Reserve on July of 2025.

  12. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPXDCUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPXDCUSA) from 1950 to 2024 about GDP and USA.

  13. d

    Data from: Experimental Data Collection and Modeling for Nominal and Fault...

    • catalog.data.gov
    • data.nasa.gov
    • +1more
    Updated Apr 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dashlink (2025). Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators [Dataset]. https://catalog.data.gov/dataset/experimental-data-collection-and-modeling-for-nominal-and-fault-conditions-on-electro-mech
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Dashlink
    Description

    Being relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator types, especially when it comes to fault detection and characterization. Lack of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests push for the need of building system models and designing affordable but realistic experimental setups. This paper presents our approach to accomplish a comprehensive test environment equipped with fault injection and data collection capabilities. Efforts also include development of multiple models for EMA operations, both in nominal and fault conditions that can be used along with measurement data to generate effective diagnostic and prognostic estimates. A detailed description has been provided about how various failure modes are inserted in the test environment and corresponding data is collected to verify the physics based models under these failure modes that have been developed in parallel. A design of experiment study has been included to outline the details of experimental data collection. Furthermore, some ideas about how experimental results can be extended to real flight environments through actual flight tests and using real flight data have been presented. Finally, the roadmap leading from this effort towards developing successful prognostic algorithms for electromechanical actuators is discussed.*

  14. T

    United States - Nominal Effecive Exchange Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States - Nominal Effecive Exchange Rate [Dataset]. https://tradingeconomics.com/united-states/nominal-effecive-exchange-rate-wb-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 30, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Nominal Effecive Exchange Rate in United States was reported at 131 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Nominal Effecive Exchange Rate - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  15. Brazil Nominal GDP

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Brazil Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/brazil/nominal-gdp
    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, 2020 - Mar 1, 2023
    Area covered
    Brazil
    Description

    Key information about Brazil Nominal GDP

    • Brazil Nominal GDP reached 486.1 USD bn in Mar 2023, compared with 490.6 USD bn in the previous quarter.
    • Nominal GDP in Brazil is updated quarterly, available from Mar 1990 to Mar 2023, with an average number of 284.6 USD bn.
    • The data reached an all-time high of 680.4 USD bn in Jun 2011 and a record low of 89.3 USD bn in Mar 1991.

    CEIC calculates quarterly Nominal GDP from monthly Nominal GDP. The Central Bank of Brazil provides Nominal GDP in USD based on SCN 2010/SNA 2008. Nominal GDP prior to Q1 1996 is based on SNA 1993.


    Related information about Brazil Nominal GDP

    • In the latest reports, Brazil GDP expanded 2.3 % YoY in Dec 2022.
    • Its GDP deflator (implicit price deflator) increased 9.8 % in Dec 2022.
    • Brazil GDP Per Capita reached 8,936.2 USD in Dec 2022.
    • Its Gross Savings Rate was measured at 12.4 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 14.9 % in Dec 2022.
    • Public Consumption accounted for 20.5 % in Dec 2022.
    • Private Consumption accounted for 64.5 % in Dec 2022.

  16. T

    Czech Republic - CPI Price, Nominal

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 2, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). Czech Republic - CPI Price, Nominal [Dataset]. https://tradingeconomics.com/czech-republic/cpi-price-nominal-wb-data.html
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jun 2, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    Czechia
    Description

    CPI Price, nominal in Czech Republic was reported at 167 in 2025, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - CPI Price, nominal - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  17. Nominal effective exchange rate, Brazil / Broad basket

    • data.bis.org
    csv, xls
    Updated Nov 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bank for International Settlements (2023). Nominal effective exchange rate, Brazil / Broad basket [Dataset]. https://data.bis.org/topics/EER/BIS,WS_EER,1.0/M.N.B.BR
    Explore at:
    xls, csvAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Bank for International Settlementshttp://www.bis.org/
    License

    https://data.bis.org/help/legalhttps://data.bis.org/help/legal

    Time period covered
    Jan 1994 - May 2025
    Area covered
    Brazil
    Description

    Nominal effective exchange rate, Brazil / Broad basket

  18. T

    Brazil - Nominal Effecive Exchange Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 10, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). Brazil - Nominal Effecive Exchange Rate [Dataset]. https://tradingeconomics.com/brazil/nominal-effecive-exchange-rate-wb-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 10, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    Brazil
    Description

    Nominal Effecive Exchange Rate in Brazil was reported at 66.2 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Nominal Effecive Exchange Rate - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  19. T

    Turkey - Nominal Effecive Exchange Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). Turkey - Nominal Effecive Exchange Rate [Dataset]. https://tradingeconomics.com/turkey/nominal-effecive-exchange-rate-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    Türkiye
    Description

    Nominal Effecive Exchange Rate in Turkey was reported at 6.0468 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Turkey - Nominal Effecive Exchange Rate - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  20. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881500Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over (LES1252881500Q) from Q1 1979 to Q1 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Gavin, William T.; Kydland, Finn E. (2001). Nominal Facts and the October 1979 Policy Change [Dataset]. http://doi.org/10.3886/ICPSR01233.v1
Organization logo

Data from: Nominal Facts and the October 1979 Policy Change

Related Article
Explore at:
Dataset updated
Apr 2, 2001
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Gavin, William T.; Kydland, Finn E.
License

https://www.icpsr.umich.edu/web/ICPSR/studies/1233/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1233/terms

Area covered
United States
Description

Researchers depend on observed regularities in macroeconomic data to guide the development of theory. One problem in developing monetary models of the business cycle is that there seems to be a great deal of instability in nominal data. Using data from 1959:Q1 to 1998:Q4, the authors document changes in the cyclical behavior of nominal data series that appear after 1979:Q3, when the Federal Reserve implemented a policy to end the acceleration of inflation. Such changes in cyclical behavior were not apparent in real variables. The authors conclude that in order to find regularities in nominal datasets, it may be necessary to examine and compare episodes with similar monetary policy regimes.

Search
Clear search
Close search
Google apps
Main menu