51 datasets found
  1. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
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    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q2 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  2. H

    Data for "Shorter Hours and Productivity: Evidence From Bituminous Coal"

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 23, 2025
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    William Boal (2025). Data for "Shorter Hours and Productivity: Evidence From Bituminous Coal" [Dataset]. http://doi.org/10.7910/DVN/WB0LAK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    William Boal
    License

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

    Description

    Includes (1) panel of Illinois coal mines 1891-1905 and (2) panel of U.S. coal-mining states 1903-1929. Mine panel is from Illinois Bureau of Labor Statistics, "Coal in Illinois," various issues. State panel is from U.S. Geological Survey, "Mineral Resources of the United States," various issues.

  3. F

    Producer Price Index by Industry: Paper Bag and Coated and Treated Paper...

    • fred.stlouisfed.org
    json
    Updated May 15, 2015
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    (2015). Producer Price Index by Industry: Paper Bag and Coated and Treated Paper Manufacturing: All Other Uncoated Paper Bags and Pouches (Including Specialty Bags, Moth Proof Bags, Etc.) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/PCU322220322220413
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    jsonAvailable download formats
    Dataset updated
    May 15, 2015
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Paper Bag and Coated and Treated Paper Manufacturing: All Other Uncoated Paper Bags and Pouches (Including Specialty Bags, Moth Proof Bags, Etc.) (DISCONTINUED) (PCU322220322220413) from Dec 2010 to Jun 2013 about paper, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

  4. Closing the Child Labor and Forced Labor Evidence Gap - IE -Berkeley-General...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Aug 21, 2022
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    Bureau of International Labor Affairs (2022). Closing the Child Labor and Forced Labor Evidence Gap - IE -Berkeley-General Public-Nepal [Dataset]. https://catalog.data.gov/dataset/closing-the-child-labor-and-forced-labor-evidence-gap-ie-berkeley-general-public-nepal
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    Dataset updated
    Aug 21, 2022
    Dataset provided by
    Bureau of International Labor Affairshttp://www.dol.gov/ilab/
    Area covered
    Nepal
    Description

    Randomized controlled trial impact evaluations examining the effects of mass media campaigns on norms and behaviors related to vulnerability to forced labor and the worst forms of child labor in Nepal and China.

  5. R

    Data from: The Age Twist in Employers' Gender Requests: Evidence from Four...

    • dataverse.iza.org
    • datasets.iza.org
    docx, zip
    Updated Nov 6, 2023
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    Peter J. Kuhn; Shen, Kailing; Miguel Delgado Helleseter; Peter J. Kuhn; Shen, Kailing; Miguel Delgado Helleseter (2023). The Age Twist in Employers' Gender Requests: Evidence from Four Job Boards [Dataset]. http://doi.org/10.15185/izadp.9891.1
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    zip(66854), docx(44055), zip(1534971)Available download formats
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    Research Data Center of IZA (IDSC)
    Authors
    Peter J. Kuhn; Shen, Kailing; Miguel Delgado Helleseter; Peter J. Kuhn; Shen, Kailing; Miguel Delgado Helleseter
    License

    https://www.iza.org/wc/dataverse/IIL-1.0.pdfhttps://www.iza.org/wc/dataverse/IIL-1.0.pdf

    Time period covered
    2008 - 2010
    Area covered
    China, Mexico
    Description

    When permitted by law, employers sometimes state the preferred age and gender of their employees in job ads. The researchers study the interaction of advertised requests for age and gender on one Mexican and three Chinese job boards, showing that firms’ explicit gender requests shift dramatically away from women and towards men when firms are seeking older (as opposed to younger) workers. This ‘age twist’ in advertised gender preferences occurs in all four of our datasets and survives controls for occupation, firm, and job title fixed effects. Chinese Data The two new Chinese data sources used are job boards serving the city of Xiamen. In part because Xiamen was one of the five economic zones established immediately after China’s 1979 economic reforms, it is highly modernized relative to other Chinese cities, with an economy based on electronics, machinery and chemical engineering. One of these job boards, XMZYJS (the Xia-Zhang-Quan city public job board) is operated directly by government employees of the local labor bureau. Like state-operated Job Centers in the U.S., XMZYJS has a history as a brick-and-mortar employment service. XMZYJS’s mandate is to serve the less-skilled portion of the area’s labor market, and operates purely as a jobposting service: workers cannot post resumes or apply to jobs on the site. In fact, while XMZYJS now posts all its job ads online, many of these ads are viewed in XMZYJS‘s offices by workers who visit in person. This is done both on individual computer terminals and on a large electronic wall display. Applications are made by calling the company that placed the ad or by coming to a specific window on XMZYJS’s premises that has been reserved by the employer at a posted date and time. The second Xiamen-based job board, XMRC , is a for-profit, privately-operated company that is sponsored by the local government. Its mandate is to serve the market for skilled workers in the Xiamen metropolitan area. XMRC operates like a typical U.S. job board: both job ads and resumes are posted online, workers can submit applications to specific jobs via the site, and firms can contact individual workers through the site as well. By design, XMZYJS aggregates job postings from all local and specialized job boards for less-skilled workers in the metropolitan area, and XMRC is the main job board for skilled workers in the area. While there is potentially some cross-posting of job ads across the two sites, descriptive statistics on the types of jobs on offer suggest the sites do, indeed, serve very different populations. Like all our data sets, XMZYJS and XMRC serve private sector employers almost exclusively. Recruiting for public sector jobs, and most recruiting for State-Owned-Enterprises (SOEs) takes place via a different process. The third Chinese database represents Zhaopin as the third-largest Internet job board in China; it operates nationally and serves workers who on average are considerably more skilled than even those on XMRC. This sample is based on all unique ads posted in four five-week observation periods in 2008-2010. In contrast to XMRC and XMZYJS where the data were supplied by the job boards, the Zhaopin data were collected by a web crawler. The sample is based on all unique ads posted in four five-week observation periods in 2008-2010. The Chinese data have 141,188, 39,727, and 1,051,038 ads in the XMZYJS, XMRC and Zhaopin samples respectively. Mexican Data The Mexican data allows to ascertain whether main results extend to a nation with different economic conditions, labor market institutions and culture. The Mexican data is a sample of job ads posted on Computrabajo. Of the new data sets explored, the Computrabajo data are most similar to Zhaopin in the sense that they come from a national online site that disproportionately serves highly skilled workers. To construct an analysis sample from the Computrabajo website, the authors collected advertisements daily for approximately 18 months between early 2011 and mid-2012 using a web crawler. Both the standardized fields and the open text portions of each ad were parsed to extract variables for the analysis. Computrabajo analysis sample contains 90,487 ads.

  6. US Weekly Unemployment Data

    • data.amerigeoss.org
    esri rest, html
    Updated May 12, 2020
    + more versions
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    ESRI (2020). US Weekly Unemployment Data [Dataset]. https://data.amerigeoss.org/es/dataset/us-weekly-unemployment-data
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    esri rest, htmlAvailable download formats
    Dataset updated
    May 12, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description
    Unemployment Insurance Weekly Claims Data - 2020 year to date (Updated thru 04/25/2020)

    This map contain Unemployment Insurance Weekly Claims data, from the United State Department of Labor, Employment & Training Administration, starting on 01/01/2020 and updated weekly. These data are used in current economic analysis of unemployment trends in the nation, and in each state.

    Initial claims is a measure of emerging unemployment. It counts the number of new persons claiming unemployment benefits and it is released after one week.

    Continued claims is a measure of the total number of persons claiming unemployment benefits, and it is released one week later than the initial claims.

    The data is organized by state, with the following attributes (as defined by the United State Department of Labor) repeated for each week
    • Week/date when claims were filed
    • Number of initial claims
    • Week/date reflected in the data week
    • Number of continued claims
    • Total covered employment
    • Insured unemployment rate
    The latest information on unemployment insurance claims can be found here.

    TECHNICAL NOTES
    These data represent the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume, assessing state program operations and for assessing labor market conditions. States initially report claims directly taken by the state liable for the benefit payments, regardless of where the claimant who filed the claim resided. These are the basis for the advance initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continued claims are revised based on a second reporting by states that reflect the claimants by state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

    A. Initial Claims
    An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claimant requests a determination of basic eligibility for the UI program. When an initial claim is filed with a state, certain programmatic activities take place and these result in activity counts including the count of initial claims. The count of U.S. initial claims for unemployment insurance is a leading economic indicator because it is an indication of emerging labor market conditions in the country. However, these are weekly administrative data which are difficult to seasonally adjust, making the series subject to some volatility.

    B. Continued Weeks Claimed
    A person who has already filed an initial claim and who has experienced a week of unemployment then files a continued claim to claim benefits for that week of unemployment. Continued claims are also referred to as insured unemployment. The count of U.S. continued weeks claimed is also a good indicator of labor market conditions. Continued claims reflect the current number of insured unemployed workers filing for UI benefits in the nation. While continued claims are not a leading indicator (they roughly coincide with economic cycles at their peaks and lag at cycle troughs), they provide confirming evidence of the direction of the U.S. economy

    C. Seasonal Adjustments and Annual Revisions
    Over the course of a year, the weekly changes in the levels of initial claims and continued claims undergo regularly occurring fluctuations. These fluctuations may result from seasonal changes in weather, major holidays, the opening and closing of schools, or other similar events. Because these seasonal events follow a more or less regular pattern each year, their influence on the level of a series can be tempered by adjusting for regular seasonal variation. These adjustments make trend and cycle developments easier to spot. At the beginning of each calendar year, the Bureau of Labor Statistics provides the Employment and Training Administration (ETA) with a set of seasonal factors to apply to the unadjusted data during that year. Concurrent with the implementation and release of the new seasonal factors, ETA incorporates revisions to the UI claims historical series caused by updates to the unadjusted data.
  7. F

    Average Price: Ground Beef, 100% Beef (Cost per Pound/453.6 Grams) in U.S....

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
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    (2025). Average Price: Ground Beef, 100% Beef (Cost per Pound/453.6 Grams) in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/APU0000703112
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

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

    Area covered
    United States
    Description

    Fresh regular 100% ground beef excluding round, chuck, and sirloin. Includes organic and non-organic. Excludes pre-formed patties."

  8. e

    US State Level Unemployment Insurance Weekly Claims

    • coronavirus-resources.esri.com
    • hub.arcgis.com
    • +1more
    Updated Apr 11, 2020
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    Esri Business Industry Team (2020). US State Level Unemployment Insurance Weekly Claims [Dataset]. https://coronavirus-resources.esri.com/maps/5090757d5ba24faaa92c0bcb46d6020f
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    Dataset updated
    Apr 11, 2020
    Dataset authored and provided by
    Esri Business Industry Team
    Area covered
    Description

    Unemployment Insurance Weekly Claims Data - 2020 year to dateThis map contain Unemployment Insurance Weekly Claims data, from the United State Department of Labor, Employment & Training Administration, starting on 01/01/2020 and updated weekly. These data are used in current economic analysis of unemployment trends in the nation, and in each state. Initial claims is a measure of emerging unemployment. It counts the number of new persons claiming unemployment benefits and it is released after one week.Continued claims is a measure of the total number of persons claiming unemployment benefits, and it is released one week later than the initial claims.The data is organized by state, with the following attributes (as defined by the United State Department of Labor) repeated for each weekWeek/date when claims were filedNumber of initial claimsWeek/date reflected in the data weekNumber of continued claims Total covered employment Insured unemployment rateThe latest information on unemployment insurance claims can be found here.TECHNICAL NOTESThese data represent the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume, assessing state program operations and for assessing labor market conditions. States initially report claims directly taken by the state liable for the benefit payments, regardless of where the claimant who filed the claim resided. These are the basis for the advance initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continued claims are revised based on a second reporting by states that reflect the claimants by state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.A. Initial ClaimsAn initial claim is a claim filed by an unemployed individual after a separation from an employer. The claimant requests a determination of basic eligibility for the UI program. When an initial claim is filed with a state, certain programmatic activities take place and these result in activity counts including the count of initial claims. The count of U.S. initial claims for unemployment insurance is a leading economic indicator because it is an indication of emerging labor market conditions in the country. However, these are weekly administrative data which are difficult to seasonally adjust, making the series subject to some volatility.B. Continued Weeks ClaimedA person who has already filed an initial claim and who has experienced a week of unemployment then files a continued claim to claim benefits for that week of unemployment. Continued claims are also referred to as insured unemployment. The count of U.S. continued weeks claimed is also a good indicator of labor market conditions. Continued claims reflect the current number of insured unemployed workers filing for UI benefits in the nation. While continued claims are not a leading indicator (they roughly coincide with economic cycles at their peaks and lag at cycle troughs), they provide confirming evidence of the direction of the U.S. economyC. Seasonal Adjustments and Annual RevisionsOver the course of a year, the weekly changes in the levels of initial claims and continued claims undergo regularly occurring fluctuations. These fluctuations may result from seasonal changes in weather, major holidays, the opening and closing of schools, or other similar events. Because these seasonal events follow a more or less regular pattern each year, their influence on the level of a series can be tempered by adjusting for regular seasonal variation. These adjustments make trend and cycle developments easier to spot. At the beginning of each calendar year, the Bureau of Labor Statistics provides the Employment and Training Administration (ETA) with a set of seasonal factors to apply to the unadjusted data during that year. Concurrent with the implementation and release of the new seasonal factors, ETA incorporates revisions to the UI claims historical series caused by updates to the unadjusted data.

  9. Closing the Child Labor and Forced Labor Evidence Gap - Impact Evaluations -...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 21, 2022
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    Bureau of International Labor Affairs (2022). Closing the Child Labor and Forced Labor Evidence Gap - Impact Evaluations - IMPAQ - Costa Rica [Dataset]. https://catalog.data.gov/dataset/closing-the-child-labor-and-forced-labor-evidence-gap-impact-evaluations-impaq-costa-rica
    Explore at:
    Dataset updated
    Aug 21, 2022
    Dataset provided by
    Bureau of International Labor Affairshttp://www.dol.gov/ilab/
    Description

    Randomized controlled trial impact evaluations examining interventions on combating child labor in Costa Rica.

  10. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 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
    Dec 31, 1914 - Jun 30, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 2.70 percent in June from 2.40 percent in May of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. F

    Producer Price Index by Commodity: Metals and Metal Products: Titanium and...

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Metals and Metal Products: Titanium and Titanium-Base Alloy Mill Shapes [Dataset]. https://fred.stlouisfed.org/series/WPU102505
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    jsonAvailable download formats
    Dataset updated
    Jul 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 Producer Price Index by Commodity: Metals and Metal Products: Titanium and Titanium-Base Alloy Mill Shapes (WPU102505) from Jan 1971 to Jun 2025 about titanium, mills, metals, commodities, PPI, inflation, price index, indexes, price, and USA.

  12. A

    Australia Employment: South Australia: Full Time: Certificate III & IV

    • ceicdata.com
    Updated Mar 27, 2023
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    CEICdata.com (2023). Australia Employment: South Australia: Full Time: Certificate III & IV [Dataset]. https://www.ceicdata.com/en/australia/employment-by-state-and-highest-educational-attainment-full-time/employment-south-australia-full-time-certificate-iii--iv
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    Dataset updated
    Mar 27, 2023
    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
    Feb 1, 2022 - Nov 1, 2024
    Area covered
    Australia
    Description

    Employment: South Australia: Full Time: Certificate III & IV data was reported at 143.490 Person in Nov 2024. This records an increase from the previous number of 137.937 Person for Aug 2024. Employment: South Australia: Full Time: Certificate III & IV data is updated quarterly, averaging 133.469 Person from Aug 2015 (Median) to Nov 2024, with 38 observations. The data reached an all-time high of 143.490 Person in Nov 2024 and a record low of 117.165 Person in May 2020. Employment: South Australia: Full Time: Certificate III & IV data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G019: Employment: by State and Highest Educational Attainment: Full Time.

  13. Data from: National Survey of Staffing Issues in Large Police Agencies,...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). National Survey of Staffing Issues in Large Police Agencies, 2006-2007 [United States] [Dataset]. https://catalog.data.gov/dataset/national-survey-of-staffing-issues-in-large-police-agencies-2006-2007-united-states-ab6e5
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    The primary objective of this study was to formulate evidence-based lessons on recruitment, retention, and managing workforce profiles in large, United States police departments. The research team conducted a national survey of all United States municipal police agencies that had at least 300 sworn officers and were listed in the 2007 National Directory of Law Enforcement Administrators. The survey instrument was developed based on the research team's experience in working with large personnel systems, instruments used in previous police staffing surveys, and discussions with police practitioners. The research team distributed the initial surveys on February 27, 2008. To ensure an acceptable response rate, the principal investigators developed a comprehensive nonresponse protocol, provided ample field time for departments to compile information and respond, and provided significant one-on-one technical assistance to agencies as they completed the survey. In all, the surveys were in the field for 38 weeks. Respondents were asked to consult their agency's records in order to provide information about their agency's experience with recruiting, hiring, and retaining officers for 2006 and 2007. Of the 146 departments contacted, 107 completed the survey. The police recruitment and retention survey data were supplemented with data on each jurisdiction from the American Community Survey conducted by the United States Census Bureau, the Bureau of Labor Statistics, and the Federal Bureau of Investigation Uniform Crime Reports. The dataset contains a total of 535 variables pertaining to recruitment, hiring, union activity, compensation rates, promotion, retirement, and attrition. Many of these variables are available by rank, sex and race.

  14. Australia Employment: Northern Territory: Part Time: Certificate III & IV

    • ceicdata.com
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    CEICdata.com, Australia Employment: Northern Territory: Part Time: Certificate III & IV [Dataset]. https://www.ceicdata.com/en/australia/employment-by-state-and-highest-educational-attainment-part-time/employment-northern-territory-part-time-certificate-iii--iv
    Explore at:
    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
    Feb 1, 2022 - Nov 1, 2024
    Area covered
    Australia
    Description

    Australia Employment: Northern Territory: Part Time: Certificate III & IV data was reported at 5.130 Person in Nov 2024. This records an increase from the previous number of 3.544 Person for Aug 2024. Australia Employment: Northern Territory: Part Time: Certificate III & IV data is updated quarterly, averaging 3.926 Person from Aug 2015 (Median) to Nov 2024, with 38 observations. The data reached an all-time high of 5.130 Person in Nov 2024 and a record low of 2.799 Person in Nov 2015. Australia Employment: Northern Territory: Part Time: Certificate III & IV data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G020: Employment: by State and Highest Educational Attainment: Part Time.

  15. F

    Average Price: Flour, White, All Purpose (Cost per Pound/453.6 Grams) in...

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
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    (2025). Average Price: Flour, White, All Purpose (Cost per Pound/453.6 Grams) in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/APU0000701111
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

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

    Area covered
    United States
    Description

    All white, all-purpose flour regardless of package size. Includes self-rising, non self-rising, organic, non-organic, bleached, and unbleached."

  16. Australia Employment: Western Australia: Part Time: Certificate III & IV

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Employment: Western Australia: Part Time: Certificate III & IV [Dataset]. https://www.ceicdata.com/en/australia/employment-by-state-and-highest-educational-attainment-part-time/employment-western-australia-part-time-certificate-iii--iv
    Explore at:
    Dataset updated
    Jan 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
    Feb 1, 2022 - Nov 1, 2024
    Area covered
    Australia
    Description

    Employment: Western Australia: Part Time: Certificate III & IV data was reported at 72.247 Person in Nov 2024. This records a decrease from the previous number of 76.655 Person for Aug 2024. Employment: Western Australia: Part Time: Certificate III & IV data is updated quarterly, averaging 68.519 Person from Aug 2015 (Median) to Nov 2024, with 38 observations. The data reached an all-time high of 82.410 Person in Feb 2022 and a record low of 56.437 Person in May 2020. Employment: Western Australia: Part Time: Certificate III & IV data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G020: Employment: by State and Highest Educational Attainment: Part Time.

  17. i

    Screening and Matching with Psychometric Assessments: Randomized Experiments...

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    David McKenzie (2019). Screening and Matching with Psychometric Assessments: Randomized Experiments 2011-2013 - Jordan [Dataset]. https://catalog.ihsn.org/catalog/5391
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Nour Shammout
    Tara Vishwanath
    David McKenzie
    Matthew Groh
    Time period covered
    2011 - 2013
    Area covered
    Jordan
    Description

    Abstract

    Unemployment rates for college educated youth in Jordan are high, as is the duration of unemployment. Two randomized experiments in Jordan were used to test different theories that may explain this phenomenon. The first experiment tested the role of search and matching frictions by providing firms and job candidates with an intensive screening and matching service based on educational backgrounds and psychometric assessments. A second experiment built on the first by examining the willingness of educated, unemployed youth to apply for jobs of varying levels of prestige.

    First Experiment (September 2011 - May 2013)

    The job candidate sample consisted of recent graduates of either community college or university in Jordan, who participated in Jordan NOW 2.0 program between December 2011 and November 2012. The participants were randomly assigned to a treatment or a control groups. The sample of enterprises consisted of businesses planning to hire workers in the next six months.

    The experiment included: - Firm survey of 2,279 enterprises (September - November 2011) - Psychometric assessment of 1,569 individuals in Amman, Jordan (December 2011- January 2013) - Midline survey of 984 recent college graduates (October 2012) - Midline firm survey of 124 enterprises involved with the screening and matching pilot (October - November 2012) - Endline surveys of 1,291 recent college graduates (May 2013) - Administrative data on matching results

    Second Experiment (May 2013 - October 2013)

    The job candidate sample consisted of recent graduates from community colleges and universities, who participated in Yalla Watheefa (Let's Go Get a Job) program. The sample of businesses consisted of 33 firms with 51 job vacancies to fill 178 positions.

    The second experiment included: - Baseline survey of 1,668 recent college graduates (May 2013) - Job Openings Labor Turnovers Survey (JOLTS) based panel survey of 350 enterprises (June - September 2013) - Firm survey of 50 large enterprises (October 2013)

    In order to provide further evidence on how firms in Jordan fill positions, the team conducted a 4-round panel survey based off of the United States Bureau of Labor Statistics Job Openings Labor Turnovers Survey (JOLTS) on 350 firms in Amman that employ recent graduates.

    Given that this second experiment did not result in any jobs, a follow-up survey to measure the treatment-control difference in employment outcomes was not conducted.

    Geographic coverage

    • Amman

    Analysis unit

    • recent college graduates;
    • enterprises seeking to hire new employees.

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    The attrition rates were 8 and 18 percent, respectively, for midline and endline job candidates surveys in the first experiment.

  18. m

    Data from: Regime-dependent Price Puzzle in the Brazilian Economy: evidence...

    • data.mendeley.com
    Updated Aug 22, 2020
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    GIULIANO FERREIRA (2020). Regime-dependent Price Puzzle in the Brazilian Economy: evidence from VAR and FAVAR approaches. [Dataset]. http://doi.org/10.17632/cy9hzxtz2h.1
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    Dataset updated
    Aug 22, 2020
    Authors
    GIULIANO FERREIRA
    License

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

    Description

    We investigate whether the price puzzle, found in previous empirical studies, consists of model misspecification or a feature of the economy. To analyze the anomaly, we estimate the central bank's reaction function through the standard VAR and FAVAR approaches, spanning the period from July 2003 to June 2018. The results suggest that the price puzzle stands out as a feature of the economy only at intervals of activity slowdown. The data consists of the 71 indicators potentially used by the Brazilian Central Bank in formulating monetary policy. Note that “SA” stands for series seasonally adjusted by the source and “*” denotes series seasonally adjusted by the Census X-13 ARIMA methodology (US Census Bureau). The transformation codes are: 1-No transformation; 2-First difference; 3-Logarithm; and 4-First difference of logarithm. The "S/F" stands for “Slow-moving” (S) and “Fast-moving” (F). The sources of the time series used in our study are as follows: the Brazilian Steel Institute (IBS), the State System of Data Analysis, Research and Unemployment Foundation (SEADE), the Center Foundation for Foreign Trade Studies (FUNCEX), the Brazilian Association of Financial and Capital Market Institutions (ANBIMA), the Institute of Applied Economic Research (IPEA), the National Confederation of Industry (CNI), the Brazilian Central Bank (BCB), the Brazilian Institute of Geography and Statistics (IBGE), the Brazilian Ministry of Labor (ML), the Brazilian Foreign Trade Secretary (FTS), the Brazilian stock market exchange (BMF Bovespa), the Getulio Vargas Foundation (FGV, Brazilian economic research institution), the JP Morgan, the Investing (US-based financial investment company), the US Bureau of Labor Statistics (BLS), the Federal Reserve Bank (FED), the Organization for Economic Cooperation and Development (OECD), and the International Monetary Fund (IMF). Importantly, the CDI is the average interest rate, indicative against which a representative group of banks makes unsecured loans to each other in the Brazilian financial market. The swap DI x Fixed Interest Rate is floating for a fixed swap contract . The IPCA, IPC, and INPC are consumer price indexes with different building methodologies. The IPADI is a producer price index. The INCC measures the changes in prices of the construction sector. The IPCA index is composed of free and state-regulated prices. The formers are determined by market supply and demand and comprise the prices of food, beverage, housing, household items, clothing, personal expenses, and education (IPCA Free Prices). The IPCA Free Tradable Prices index is composed of prices of goods that have free prices and are internationally traded. The IPCA Core Prices index is a measure that aims to capture the price trend, excluding the disturbances caused by temporary shocks. The IGPDI and IGPOG are both hybrid price indexes with different methodological approaches.

  19. F

    Average Price: All Soft Drinks (Cost per 2 Liters/67.6 Ounces) in U.S. City...

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Average Price: All Soft Drinks (Cost per 2 Liters/67.6 Ounces) in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/APU0000FN1101
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Average Price: All Soft Drinks (Cost per 2 Liters/67.6 Ounces) in U.S. City Average (APU0000FN1101) from Apr 2018 to Jun 2025 about other food items, retail, price, and USA.

  20. d

    Labor Union and Fishermen's Association Arrears List

    • data.gov.tw
    csv, json +2
    Updated Jun 25, 2025
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    Bureau of Labor Insurance, MOL (2025). Labor Union and Fishermen's Association Arrears List [Dataset]. https://data.gov.tw/en/datasets/6269
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    csv, json, xml, webservicesAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Bureau of Labor Insurance, MOL
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The occupation union and fishermen's association still owe labor insurance premiums

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(2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG

Employment Cost Index: Wages and Salaries: Private Industry Workers

ECIWAG

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20 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 31, 2025
License

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

Description

Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q2 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

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