6 datasets found
  1. m

    Inflation- Unemployment Data & Analysis Codes (R)

    • data.mendeley.com
    Updated Sep 11, 2018
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    Hazar Altinbas (2018). Inflation- Unemployment Data & Analysis Codes (R) [Dataset]. http://doi.org/10.17632/v9679528f7.1
    Explore at:
    Unique identifier
    https://doi.org/10.17632/v9679528f7.1
    Dataset updated
    Sep 11, 2018
    Authors
    Hazar Altinbas
    License

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

    Description

    This data is used for examination of inflation- unemployment relationship for 18 countries after 1991. Inflation data is obtained from World Bank database (https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG) and unemployment data is obtained from International Labor Organization (http://www.ilo.org/wesodata/).

    Analysis period is different for all countries because of structural breaks determined by single point change point detection algorithm included in changepoint package of Killick & Eckley (2014). Granger-causality is conducted with Toda&Yamamoto (1995) procedure. Integration levels are determined with 3 stationary tests. VAR models are run with vars package (Pfaff, Stigler & Pfaff; 2018) without trend and constant terms. Cointegration test is conducted with urca package (Pfaff, Zivot, Stigler & Pfaff; 2016).

    All data files are .csv files. Analyst need to change country index (variable name: j) in order to see individual results. Findings can be seen in the article.

    Killick, R., & Eckley, I. (2014). changepoint: An R package for changepoint analysis. Journal of statistical software, 58(3), 1-19.

    Pfaff, B., Stigler, M., & Pfaff, M. B. (2018). Package ‘vars’. Online] https://cran. r-project. org/web/packages/vars/vars. pdf.

    Pfaff, B., Zivot, E., Stigler, M., & Pfaff, M. B. (2016). Package ‘urca’. Unit root and cointegration tests for time series data. R package version, 1-2.

    Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.

  2. F

    Monetary Base: Total

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
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    (2025). Monetary Base: Total [Dataset]. https://fred.stlouisfed.org/series/BOGMBASE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

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

    Description

    Graph and download economic data for Monetary Base: Total (BOGMBASE) from Jan 1959 to Jun 2025 about monetary base and USA.

  3. e

    Inflation and Unemployment

    • paper.erudition.co.in
    html
    Updated Mar 2, 2019
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    Einetic (2019). Inflation and Unemployment [Dataset]. https://paper.erudition.co.in/makaut/master-of-business-administration/2/indian-economy-and-policy
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    htmlAvailable download formats
    Dataset updated
    Mar 2, 2019
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Inflation and Unemployment of Indian Economy and Policy, 2nd Semester , Master of Business Administration

  4. f

    Genomic control inflation factors achieved in real data or in a single...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jakris Eu-ahsunthornwattana; E. Nancy Miller; Michaela Fakiola; Selma M. B. Jeronimo; Jenefer M. Blackwell; Heather J. Cordell (2023). Genomic control inflation factors achieved in real data or in a single replicate of the simulated data sets. [Dataset]. http://doi.org/10.1371/journal.pgen.1004445.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pgen.1004445.t002
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Genetics
    Authors
    Jakris Eu-ahsunthornwattana; E. Nancy Miller; Michaela Fakiola; Selma M. B. Jeronimo; Jenefer M. Blackwell; Heather J. Cordell
    License

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

    Description

    aFBATaff, MQLS and ROADTRIPS are only applicable to binary traits and so do not have results in the ‘Simulated quantitative’ column.bIn the simulated data sets, MQLS and RT could only be based on the 1972 individuals with simulated phenotypes, and so no simulated trait results are displayed in the MQLS3626 and RT3626 rows.

  5. House price data: quarterly tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 21, 2025
    + more versions
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    Office for National Statistics (2025). House price data: quarterly tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/housepriceindexmonthlyquarterlytables1to19
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

  6. UK House Price Index: data downloads June 2024

    • gov.uk
    Updated Aug 14, 2024
    + more versions
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    HM Land Registry (2024). UK House Price Index: data downloads June 2024 [Dataset]. https://www.gov.uk/government/statistical-data-sets/uk-house-price-index-data-downloads-june-2024
    Explore at:
    Dataset updated
    Aug 14, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Area covered
    United Kingdom
    Description

    The UK House Price Index is a National Statistic.

    Create your report

    Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_14_08_24" class="govuk-link">create your own bespoke reports.

    Download the data

    Datasets are available as CSV files. Find out about republishing and making use of the data.

    Full file

    This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.

    Download the full UK HPI background file:

    Individual attributes files

    If you are interested in a specific attribute, we have separated them into these CSV files:

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Hazar Altinbas (2018). Inflation- Unemployment Data & Analysis Codes (R) [Dataset]. http://doi.org/10.17632/v9679528f7.1

Inflation- Unemployment Data & Analysis Codes (R)

Explore at:
Unique identifier
https://doi.org/10.17632/v9679528f7.1
Dataset updated
Sep 11, 2018
Authors
Hazar Altinbas
License

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

Description

This data is used for examination of inflation- unemployment relationship for 18 countries after 1991. Inflation data is obtained from World Bank database (https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG) and unemployment data is obtained from International Labor Organization (http://www.ilo.org/wesodata/).

Analysis period is different for all countries because of structural breaks determined by single point change point detection algorithm included in changepoint package of Killick & Eckley (2014). Granger-causality is conducted with Toda&Yamamoto (1995) procedure. Integration levels are determined with 3 stationary tests. VAR models are run with vars package (Pfaff, Stigler & Pfaff; 2018) without trend and constant terms. Cointegration test is conducted with urca package (Pfaff, Zivot, Stigler & Pfaff; 2016).

All data files are .csv files. Analyst need to change country index (variable name: j) in order to see individual results. Findings can be seen in the article.

Killick, R., & Eckley, I. (2014). changepoint: An R package for changepoint analysis. Journal of statistical software, 58(3), 1-19.

Pfaff, B., Stigler, M., & Pfaff, M. B. (2018). Package ‘vars’. Online] https://cran. r-project. org/web/packages/vars/vars. pdf.

Pfaff, B., Zivot, E., Stigler, M., & Pfaff, M. B. (2016). Package ‘urca’. Unit root and cointegration tests for time series data. R package version, 1-2.

Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.

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