14 datasets found
  1. d

    Replication data for: Estimating Who Benefits From Productivity Growth:...

    • search.dataone.org
    Updated Nov 8, 2023
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    Hornbeck, Richard; Moretti, Enrico (2023). Replication data for: Estimating Who Benefits From Productivity Growth: Local and Distant Effects of City Productivity Growth on Wages, Rents, and Inequality [Dataset]. http://doi.org/10.7910/DVN/DYHNYK
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hornbeck, Richard; Moretti, Enrico
    Description

    Review of Economics and Statistics: Forthcoming. Visit https://dataone.org/datasets/sha256%3Ad792f0a30c1925e696da5df3bf36d27761fec5e1017259b3777d530e94b822ae for complete metadata about this dataset.

  2. T

    Canada Productivity

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 4, 2025
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    TRADING ECONOMICS (2025). Canada Productivity [Dataset]. https://tradingeconomics.com/canada/productivity
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jun 4, 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
    Mar 31, 1981 - Mar 31, 2025
    Area covered
    Canada
    Description

    Productivity in Canada increased to 102.23 points in the first quarter of 2025 from 102.06 points in the fourth quarter of 2024. This dataset provides - Canada Productivity - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. g

    Productivity and Costs | gimi9.com

    • gimi9.com
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    Productivity and Costs | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_productivity-and-costs-151db
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    License

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

    Description

    Productivity and related cost measures are designed for use in economic analysis and public and private policy planning. The data are used to forecast and analyze changes in prices, wages, and technology. There are two primary types of productivity statistics: Labor productivity measures output per hour of labor. Multifactor productivity measures output per unit of combined inputs, which consist of labor and capital, and, in some cases, intermediate inputs such as fuel.

  4. T

    Poland Productivity

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). Poland Productivity [Dataset]. https://tradingeconomics.com/poland/productivity
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 3, 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
    Mar 31, 1995 - Mar 31, 2025
    Area covered
    Poland
    Description

    Productivity in Poland increased to 133.15 points in the first quarter of 2025 from 131.87 points in the fourth quarter of 2024. This dataset provides - Poland Productivity - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. a

    Indicator 8.5.1: Average hourly earnings of employees by sex and occupation...

    • hub.arcgis.com
    • sdg.org
    • +1more
    Updated Aug 17, 2020
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    UN DESA Statistics Division (2020). Indicator 8.5.1: Average hourly earnings of employees by sex and occupation (local currency) [Dataset]. https://hub.arcgis.com/datasets/undesa::indicator-8-5-1-average-hourly-earnings-of-employees-by-sex-and-occupation-local-currency
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    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Average hourly earnings of employees by sex and occupation (local currency)Series Code: SL_EMP_AEARNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesTarget 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueGoal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  6. T

    Italy Productivity

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy Productivity [Dataset]. https://tradingeconomics.com/italy/productivity
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    json, excel, xml, csvAvailable download formats
    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
    Mar 31, 1995 - Mar 31, 2025
    Area covered
    Italy
    Description

    Productivity in Italy decreased to 98.85 points in the first quarter of 2025 from 99.53 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Italy Productivity - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Gender gap in wages, by occupation

    • hub.arcgis.com
    Updated Mar 21, 2025
    + more versions
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    UN DESA Statistics Division (2025). Gender gap in wages, by occupation [Dataset]. https://hub.arcgis.com/datasets/687025e77abd437596a70df35b016a33
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Description

    Data Series: Gender gap in wages, by occupation Indicator: I.11 - Gender gap in wages, by occupation, age and persons with disabilities Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

  8. d

    Economic Indicators in Hotels and Restaurants by Activity

    • data.gov.qa
    csv, excel, json
    Updated May 25, 2025
    + more versions
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    (2025). Economic Indicators in Hotels and Restaurants by Activity [Dataset]. https://www.data.gov.qa/explore/dataset/hotels-and-restaurants-statistics-economic-indicators-in-hotels-and-restaurants-by-activity1/
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    excel, json, csvAvailable download formats
    Dataset updated
    May 25, 2025
    License

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

    Description

    This dataset presents a combined view of economic indicators for the hotels and restaurants sector in Qatar. It aggregates data from establishments of all sizes and includes metrics such as operating surplus, employee compensation, value added per worker, productivity, average annual wage, and input-output ratios.

  9. c

    Research and Development Expenditures and Subsidies, Firm Productivity,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
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    Trushin, E., University of Durham; Solomon, E.; Guidi, F., University of greenwich; Ugur, M. (2024). Research and Development Expenditures and Subsidies, Firm Productivity, Employment Creation and Survival, 1997-2012: Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-7716-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Durham Business School
    Department of International Business and Economics
    University of greenwich
    Authors
    Trushin, E., University of Durham; Solomon, E.; Guidi, F., University of greenwich; Ugur, M.
    Area covered
    Great Britain
    Variables measured
    Institutions/organisations, National
    Measurement technique
    Compilation or synthesis of existing material, Compiled from existing ONS business datasets
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Research and Development Expenditures and Subsidies, Firm Productivity, Employment Creation and Survival study includes four datasets on firm Research and Development compiled from Office for National Statistics business datasets also held separately by the UK Data Archive. The four study datasets are:
    • Research and Development and firm employment creation
    • Research and Development and firm productivity
    • subsidies and Research and Development expenditures
    • Research and Development and firm survival
    All four datasets contain data on UK firms from 1997 to 2012 across all sectors. The employment-related dataset and the productivity-related dataset were both obtained by merging the Business Expenditure on Research and Development database (BERD) (SN 6690) and the Annual Respondents Database (ARD) (SN 6644)/Annual Business Survey (ABS) (SN 7451). Both files contain data on different types of Research and Development expenditures and firm level indicators such as: capital stock, knowledge capital stock and full-time equivalent employment. The files also include knowledge spillover indicators. The employment-related dataset also includes wages and sector level indicators such as the Herfindahl index and Pavitt classes.

    The subsidies-related dataset and survival-related datasets were both obtained by merging the BERD database and the Business Structure Database (BSD) (SN 6697). The files contain data on demographic variables and different types of Research and Development expenditures. Firm level indicators such as the Herfindahl index and Pavitt classes are also included. The subsidies-related dataset also includes data on salaries and on the sources of Research and Development funding (from central government and EU sources).


    Main Topics:

    The key variables in this study include:
    • Research and Development expenditure
    • Research and Development intensity
    • public subsidies on Research and Development investment
    • physical capital stock
    • knowledge capital stock
    • wages
    • employment
    • foreign ownership
    • firm entry
    • firm exit
    • turnover and value-added
    • market concentration
    • Pavitt classes

  10. Labour costs and labour income, UK

    • ons.gov.uk
    xlsx
    Updated May 15, 2025
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    Office for National Statistics (2025). Labour costs and labour income, UK [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/datasets/labourcostsandlabourshare
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    xlsxAvailable download formats
    Dataset updated
    May 15, 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

    Area covered
    United Kingdom
    Description

    Labour share of income, unit labour costs (ULCs), unit wage costs (UWCs) and average labour compensation per hour worked (ALCH).

  11. a

    Percentage of wages paid during maternity leave

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 12, 2025
    + more versions
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    UN DESA Statistics Division (2025). Percentage of wages paid during maternity leave [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/cffd5cf7f1464617996ec5cb13446fb0
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    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Data Series: Percentage of wages paid during maternity leave Indicator: QI.4 - Percentage of wages paid during maternity leave Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

  12. Philippines Nominal Minimum Daily Wage Rate: NCR: Agri: Non Plantation

    • ceicdata.com
    Updated Jun 15, 2018
    + more versions
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    CEICdata.com (2018). Philippines Nominal Minimum Daily Wage Rate: NCR: Agri: Non Plantation [Dataset]. https://www.ceicdata.com/en/philippines/nominal-and-real-minimum-daily-wage/nominal-minimum-daily-wage-rate-ncr-agri-non-plantation
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    Dataset updated
    Jun 15, 2018
    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Philippines
    Variables measured
    Wage/Earnings
    Description

    Philippines Nominal Minimum Daily Wage Rate: NCR: Agri: Non Plantation data was reported at 500.000 PHP in Nov 2018. This records an increase from the previous number of 475.000 PHP for Oct 2018. Philippines Nominal Minimum Daily Wage Rate: NCR: Agri: Non Plantation data is updated monthly, averaging 243.000 PHP from Jun 1989 (Median) to Nov 2018, with 354 observations. The data reached an all-time high of 500.000 PHP in Nov 2018 and a record low of 43.500 PHP in Jun 1989. Philippines Nominal Minimum Daily Wage Rate: NCR: Agri: Non Plantation data remains active status in CEIC and is reported by National Wages and Productivity Commission. The data is categorized under Global Database’s Philippines – Table PH.G020: Nominal and Real Minimum Daily Wage: National Capital Region.

  13. Unit labour cost and unit wage cost time series

    • ons.gov.uk
    • cy.ons.gov.uk
    csdb, csv, xlsx
    Updated May 15, 2025
    + more versions
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    Office for National Statistics (2025). Unit labour cost and unit wage cost time series [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/labourproductivity/datasets/unitlabourcostandunitwagecosttimeseries
    Explore at:
    xlsx, csv, csdbAvailable download formats
    Dataset updated
    May 15, 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

    Unit labour cost, average labour compensation per hour worked, labour share and unit wage cost for the whole UK economy, unit wage cost for manufacturing.

  14. T

    Sweden Productivity

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Sweden Productivity [Dataset]. https://tradingeconomics.com/sweden/productivity
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 15, 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
    Mar 31, 1993 - Mar 31, 2025
    Area covered
    Sweden
    Description

    Productivity in Sweden remained unchanged at 105.66 points in the first quarter of 2025 from 105.66 points in the fourth quarter of 2024. This dataset provides - Sweden Productivity- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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Hornbeck, Richard; Moretti, Enrico (2023). Replication data for: Estimating Who Benefits From Productivity Growth: Local and Distant Effects of City Productivity Growth on Wages, Rents, and Inequality [Dataset]. http://doi.org/10.7910/DVN/DYHNYK

Replication data for: Estimating Who Benefits From Productivity Growth: Local and Distant Effects of City Productivity Growth on Wages, Rents, and Inequality

Related Article
Explore at:
Dataset updated
Nov 8, 2023
Dataset provided by
Harvard Dataverse
Authors
Hornbeck, Richard; Moretti, Enrico
Description

Review of Economics and Statistics: Forthcoming. Visit https://dataone.org/datasets/sha256%3Ad792f0a30c1925e696da5df3bf36d27761fec5e1017259b3777d530e94b822ae for complete metadata about this dataset.

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