100+ datasets found
  1. c

    Economic Relevant News from The Guardian

    • ri.conicet.gov.ar
    • datosdeinvestigacion.conicet.gov.ar
    • +2more
    Updated Jul 4, 2023
    + more versions
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    Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela (2023). Economic Relevant News from The Guardian [Dataset]. https://ri.conicet.gov.ar/handle/11336/190076
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    Dataset updated
    Jul 4, 2023
    Authors
    Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela
    License

    Attribution-NonCommercial-ShareAlike 2.5 (CC BY-NC-SA 2.5)https://creativecommons.org/licenses/by-nc-sa/2.5/
    License information was derived automatically

    Dataset funded by
    Universidad Nacional del Sur
    Description

    The news: The present dataset consists of 1789 news articles from the British daily newspaper The Guardian extracted using the content endpoint of The Guardian Open Platform. The news articles were, at the time, all the news corresponding to the sections: business, politics, society and world news for the entire month of January of 2013 (for a total of 1689 news) and an extra set of news articles randomly selected from the period Febrary of 2013 to December of 2015 (100 news articles). The first set of 1689 news articles was used for training and the second set of 100 news articles was used for testing in two publications: * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018, November. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018). * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. Inteligencia Artificial, 22(63), pp.61-80. The labels: The entire dataset was manually classified into two possible categories: economically relevant and irrelevant. The labelling process was carried out by two experts in Economy working in collaboration. For each news article, the full text of the article was analyzed to determine the category. The format: There are two different versions for this dataset: the reduced and the full versions. The former consists of a CSV and a readme file. The CSV file has five columns: "Instance No.", "Title", "Web Publication Date", "web URL" and "Economically Relevant". This version is reduced in columns as it does not include the full article texts; however, it does include all the 1789 instances. Requesting the full dataset: To gain access to the full version of the dataset (which includes the body of the news articles), please send an email to mariano.maisonnave@cs.uns.edu.ar with a copy to openplatform@theguardian.com requesting authorization and making it clear that the data set will not be used for commercial purposes.

  2. b

    Financial Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 5, 2023
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    Bright Data (2023). Financial Datasets [Dataset]. https://brightdata.com/products/datasets/news/financial
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 5, 2023
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

    Dataset Features

    Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

    Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

    Popular Use Cases

    Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

    Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  3. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 31, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 31, 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
    Jun 30, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. r

    Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/601/quarterly-journal-of-economics
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk - The Quarterly Journal of Economics is a peer-reviewed academic journal published by the Oxford University Press for the Harvard University Department of Economics. Its current editors-in-chief are Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer, and Stefanie Stantcheva (Harvard University). It is the oldest professional journal of economics in the English language and covers all aspects of the field—from the journal's traditional emphasis on micro theory to both empirical and theoretical macroeconomics. According to the Journal Citation Reports, the journal has a 2015 impact factor of 6.662, ranking it first out of 347 journals in the category "Economics". It is generally regarded as one of the top 5 journals in economics, together with the American Economic Review, Econometrica, the Journal of Political Economy, and the Review of Economic Studies. The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field. QJE is invaluable to professional and academic economists and students around the world. Scope of the Journal The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field-from the journal's traditional emphasis on micro theory, to both empirical and theoretical macroeconomics. QJE is invaluable to professional and academic economists and students around the world. Impact Factor and Ranking Year Impact Factor Ssi: Economics 2020 15.563 1 out of 377 2019 11.375 1 out of 371 2018 11.775 1 out of 363 2017 7.863 1 out of 353 2016 6.662 1 out of 347 2015 5.538 2 out of 344 2014 6.654 1 out of 333 2013 5.966 3 out of 332 2012 5.278 2 out of 332 2011 5.920 2 out of 320 2010 5.940 2 out of 304 2009 5.647 2 out of 245 This information is taken from the Journal Citation Reports™ (Clarivate, 2021). Abstracting & Indexing Services The Quarterly Journal of Economics is covered by the following abstracting and indexing services: ABI-INFORM Book Review Digest Plus CAB Abstracts Coal Abstracts Criminal Justice Abstracts Current Contents: Social & Behavioral Sciences Current Index to Statistics Dietrich's Index Philosophicus Documentation in Public Administration EconLit Emerald Management Reviews Environmental RouteNet Environmental Sciences & Pollution Management Database Expanded Academic ASAP Family Index Historical Abstracts Human Resources Abstracts IBZ: International Bibliography of Periodical Literature Index of Economic Articles in Journals & Collected Volumes Index to Periodical Articles Related to Law International Bibliography of Humanities & Sociological Literature Leisure, Recreation, and Tourism Abstracts Leisure Tourism Database LexisNexis Operations Research - Management Science Peace Research Abstracts ProQuest Central Public Administration Abstracts Quality Control & Applied Statistics RePec Risk Abstracts SCOPUS Social Science Source Social Sciences Citation Index/Social SciSearch Social Sciences Index Social Work Abstracts Wilson Business Abstracts World Agricultural Economics & Rural Sociology Abstracts Zentralblatt MATH

  5. China CN: Book, Magazine, Newspaper: Taobao Online Sales: Market Share

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Book, Magazine, Newspaper: Taobao Online Sales: Market Share [Dataset]. https://www.ceicdata.com/en/china/taobao-and-tmall-online-sales-cultural-and-entertainment-article/cn-book-magazine-newspaper-taobao-online-sales-market-share
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Sep 1, 2019 - Aug 1, 2020
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data was reported at 0.150 % in Aug 2020. This records a decrease from the previous number of 0.180 % for Jul 2020. China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data is updated monthly, averaging 0.150 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 0.220 % in Feb 2020 and a record low of 0.080 % in Dec 2019. China Book, Magazine, Newspaper: Taobao Online Sales: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: Cultural and Entertainment Article.

  6. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
    Explore at:
    xml, excel, json, 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
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. H

    Replication Data for: Paper Cuts: How Reporting Resources Affect Political...

    • dataverse.harvard.edu
    application/gzip, pdf +3
    Updated Dec 6, 2021
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    Harvard Dataverse (2021). Replication Data for: Paper Cuts: How Reporting Resources Affect Political News Coverage [Dataset]. http://doi.org/10.7910/DVN/5S1HRF
    Explore at:
    type/x-r-syntax(1917), application/gzip(68432), pdf(43066), application/gzip(91496), pdf(38214), tsv(469805), pdf(38418), type/x-r-syntax(1632), txt(3156), tsv(10159), tsv(66327), type/x-r-syntax(1334), tsv(912), pdf(51094), pdf(49249), type/x-r-syntax(791), pdf(64324), pdf(59415), tsv(465585), tsv(98758), pdf(38978), type/x-r-syntax(13921), application/gzip(1743668), pdf(38923)Available download formats
    Dataset updated
    Dec 6, 2021
    Dataset provided by
    Harvard Dataverse
    Description

    Media outlets provide crucial inputs into the democratic process, yet they face increasingly severe economic challenges. I study how a newly salient manifestation of this pressure, reduced reporting capacity, influences political coverage. Focusing on newspapers in the United States, where industry-wide employment fell over 40% between 2007 and 2015, I use panel data to assess the relationship between reporting capacity and political coverage. Staff cuts substantially decrease the amount of political coverage newspapers provide. Across different samples and measurement approaches, a typical cutback to a newspaper's reporting staff reduces its annual political coverage by between 300 and 500 stories. These political news declines happen against the backdrop of similar reductions in nonpolitical coverage, meaning the share of newspaper articles focused on politics remains stable over this period. This demonstrates that economic pressure affects the political information environment by shaping the media's capacity to cover politics.

  8. Economics and Central Banking News

    • eulerpool.com
    Updated Jul 22, 2025
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    Eulerpool (2025). Economics and Central Banking News [Dataset]. https://eulerpool.com/en/data-analytics/financial-data/news/economics-and-central-banking-news
    Explore at:
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Eulerpool.com
    Authors
    Eulerpool
    Description

    We are the sole provider of expert and authoritative news covering global and national economies, central banking, and policy-making for financial clients. With years of experience delving into the inner workings of every major finance ministry and central bank, we offer comprehensive analysis. Our best-in-class polling spans approximately 700 key economic releases and policy decisions worldwide each year. We provide split-second coverage of data and decisions that influence markets, utilizing advanced technology systems combined with the expertise of seasoned journalists to deliver first. We offer rapid insights and explanations to help you understand recent developments. Beyond major events, we bring you stories behind the headlines, offering an inside look at deliberations of institutions like the ECB or BOJ. We use data and on-the-ground reporting to reveal what’s truly happening in economies ranging from China to the United States.

  9. r

    Quarterly Journal of Economics - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 18, 2022
    + more versions
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    Research Help Desk (2022). Quarterly Journal of Economics - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/601/quarterly-journal-of-economics
    Explore at:
    Dataset updated
    Feb 18, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Quarterly Journal of Economics - ResearchHelpDesk - The Quarterly Journal of Economics is a peer-reviewed academic journal published by the Oxford University Press for the Harvard University Department of Economics. Its current editors-in-chief are Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer, and Stefanie Stantcheva (Harvard University). It is the oldest professional journal of economics in the English language and covers all aspects of the field—from the journal's traditional emphasis on micro theory to both empirical and theoretical macroeconomics. According to the Journal Citation Reports, the journal has a 2015 impact factor of 6.662, ranking it first out of 347 journals in the category "Economics". It is generally regarded as one of the top 5 journals in economics, together with the American Economic Review, Econometrica, the Journal of Political Economy, and the Review of Economic Studies. The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field. QJE is invaluable to professional and academic economists and students around the world. Scope of the Journal The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field-from the journal's traditional emphasis on micro theory, to both empirical and theoretical macroeconomics. QJE is invaluable to professional and academic economists and students around the world. Impact Factor and Ranking Year Impact Factor Ssi: Economics 2020 15.563 1 out of 377 2019 11.375 1 out of 371 2018 11.775 1 out of 363 2017 7.863 1 out of 353 2016 6.662 1 out of 347 2015 5.538 2 out of 344 2014 6.654 1 out of 333 2013 5.966 3 out of 332 2012 5.278 2 out of 332 2011 5.920 2 out of 320 2010 5.940 2 out of 304 2009 5.647 2 out of 245 This information is taken from the Journal Citation Reports™ (Clarivate, 2021). Abstracting & Indexing Services The Quarterly Journal of Economics is covered by the following abstracting and indexing services: ABI-INFORM Book Review Digest Plus CAB Abstracts Coal Abstracts Criminal Justice Abstracts Current Contents: Social & Behavioral Sciences Current Index to Statistics Dietrich's Index Philosophicus Documentation in Public Administration EconLit Emerald Management Reviews Environmental RouteNet Environmental Sciences & Pollution Management Database Expanded Academic ASAP Family Index Historical Abstracts Human Resources Abstracts IBZ: International Bibliography of Periodical Literature Index of Economic Articles in Journals & Collected Volumes Index to Periodical Articles Related to Law International Bibliography of Humanities & Sociological Literature Leisure, Recreation, and Tourism Abstracts Leisure Tourism Database LexisNexis Operations Research - Management Science Peace Research Abstracts ProQuest Central Public Administration Abstracts Quality Control & Applied Statistics RePec Risk Abstracts SCOPUS Social Science Source Social Sciences Citation Index/Social SciSearch Social Sciences Index Social Work Abstracts Wilson Business Abstracts World Agricultural Economics & Rural Sociology Abstracts Zentralblatt MATH

  10. T

    United States GDP Annual Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 1, 2012
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    TRADING ECONOMICS, United States GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth-annual
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 1, 2012
    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, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 2 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. T

    Poland - Scientific And Technical Journal Articles

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2017
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    TRADING ECONOMICS (2017). Poland - Scientific And Technical Journal Articles [Dataset]. https://tradingeconomics.com/poland/scientific-and-technical-journal-articles-wb-data.html
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 31, 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
    Description

    Scientific and technical journal articles in Poland was reported at 37368 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Poland - Scientific and technical journal articles - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  12. r

    Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/602/journal-of-political-economy
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)

  13. o

    Mainstream newspaper coverage of migrant work in Canada 2010-2020

    • explore.openaire.eu
    • data.mendeley.com
    Updated Jan 1, 2022
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    Ethel Tungohan (2022). Mainstream newspaper coverage of migrant work in Canada 2010-2020 [Dataset]. http://doi.org/10.17632/b5zfwwrmg5.1
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    Dataset updated
    Jan 1, 2022
    Authors
    Ethel Tungohan
    Area covered
    Canada
    Description

    This dataset compiles all of the newspaper articles (including news stories, op-eds, and feature stories) on migrant work and migrant workers published in Toronto Star, Globe & Mail, and National Post articles from 2010-2020 (N=1894). This dataset shows the codes ("frames") that articles used to when discussing migrant work and migrant workers.

  14. d

    Replication Data for: Does Newspaper Coverage Influence or Reflect Public...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Hopkins, Daniel; Kim, Eunji; Kim, Soojong (2023). Replication Data for: Does Newspaper Coverage Influence or Reflect Public Perceptions of the Economy? [Dataset]. http://doi.org/10.7910/DVN/22O4DB
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hopkins, Daniel; Kim, Eunji; Kim, Soojong
    Description

    Citizens' economic perceptions can shape their political and economic behavior, making those perceptions' origins an important question. Research commonly posits that media coverage is a central source. Here, we test that prospect while considering the alternative hypothesis that media coverage instead echoes public perceptions. This paper applies a straightforward automated measure of the tone of economic coverage to 490,039 articles from 24 national and local media outlets over more than three decades. By matching the 245,947 survey respondents in the Survey of Consumer Attitudes and Behavior to measures of contemporaneous media coverage, we can assess the sequencing of changes in media coverage and public perceptions. Together, these data illustrate that newspaper coverage does not systematically precede public perceptions of the economy, a finding which analyses of television transcripts reinforce. Neither national nor local newspapers appear to strongly influence economic perceptions.

  15. China CN: Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share [Dataset]. https://www.ceicdata.com/en/china/taobao-and-tmall-online-sales-cultural-and-entertainment-article/cn-book-magazine-newspaper-taobao-and-tmall-online-sales-market-share
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Sep 1, 2019 - Aug 1, 2020
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data was reported at 0.700 % in Aug 2020. This records a decrease from the previous number of 0.900 % for Jul 2020. China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data is updated monthly, averaging 0.740 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 1.020 % in Jul 2019 and a record low of 0.520 % in May 2020. China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: Cultural and Entertainment Article.

  16. Data from: Pandemic Economics: The 1918 Influenza and Its Modern-Day...

    • icpsr.umich.edu
    excel
    Updated Jun 9, 2008
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    Garrett, Thomas A. (2008). Pandemic Economics: The 1918 Influenza and Its Modern-Day Implications [Dataset]. http://doi.org/10.3886/ICPSR22680.v1
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    excelAvailable download formats
    Dataset updated
    Jun 9, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Garrett, Thomas A.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/22680/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/22680/terms

    Area covered
    United States
    Description

    Many predictions of the economic and social costs of a modern-day pandemic are based on the effects of the influenza pandemic of 1918. Despite killing 675,000 people in the United States and 40 million worldwide, the influenza of 1918 has been nearly forgotten. The purpose of this paper is to provide an overview of the influenza pandemic of 1918 in the United States, its economic effects, and its implications for a modern-day pandemic. The paper provides a brief historical background as well as detailed influenza mortality statistics for cities and states, including those in the Eighth Federal Reserve District, that account for differences in race, income, and place of residence. Information is obtained from two sources: (i) newspaper articles published during the pandemic and (ii) a survey of economic research on the subject.

  17. Forex News Annotated Dataset for Sentiment Analysis

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Nov 11, 2023
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    Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. http://doi.org/10.5281/zenodo.7976208
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    csvAvailable download formats
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; Kalliopi Kouroumali
    License

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

    Description

    This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

    To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

    We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

    Examples of Annotated Headlines
    
    
        Forex Pair
        Headline
        Sentiment
        Explanation
    
    
    
    
        GBPUSD 
        Diminishing bets for a move to 12400 
        Neutral
        Lack of strong sentiment in either direction
    
    
        GBPUSD 
        No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
        Positive
        Positive sentiment towards GBPUSD (Cable) in the near term
    
    
        GBPUSD 
        When are the UK jobs and how could they affect GBPUSD 
        Neutral
        Poses a question and does not express a clear sentiment
    
    
        JPYUSD
        Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
        Positive
        Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply
    
    
        USDJPY
        Dollar rebounds despite US data. Yen gains amid lower yields 
        Neutral
        Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other
    
    
        USDJPY
        USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
        Negative
        USDJPY is expected to reach a lower value, with the USD losing value against the JPY
    
    
        AUDUSD
    
        <p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>
    
        Positive
        Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.
    

    Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

  18. T

    Lebanon - Scientific And Technical Journal Articles

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2017
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    TRADING ECONOMICS (2017). Lebanon - Scientific And Technical Journal Articles [Dataset]. https://tradingeconomics.com/lebanon/scientific-and-technical-journal-articles-wb-data.html
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jun 1, 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
    Lebanon
    Description

    Scientific and technical journal articles in Lebanon was reported at 2091 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Lebanon - Scientific and technical journal articles - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  19. d

    Ministry of Economic Affairs News News Zone

    • data.gov.tw
    csv
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    Ministry of Economic Affairs, Ministry of Economic Affairs News News Zone [Dataset]. https://data.gov.tw/en/datasets/45275
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    csvAvailable download formats
    Dataset authored and provided by
    Ministry of Economic Affairs
    License

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

    Description

    This dataset provides news reports on public activities of the Deputy Minister of the Ministry of Economic Affairs and routine or ad hoc press conferences, policy announcements, industry-related award ceremonies, and major policy previews held by various units since November 2016.Purpose of collection: To provide the public with lively and diverse content related to the ministry and its units, effectively promoting public understanding of ministry policies.How to collect: Relevant units of the ministry are requested to collect and provide relevant news and update the data monthly.

  20. Replication data for: What Policies Increase Prosocial Behavior? An...

    • openicpsr.org
    Updated Sep 1, 2014
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    Raj Chetty; Emmanuel Saez; Laszlo Sandor (2014). Replication data for: What Policies Increase Prosocial Behavior? An Experiment with Referees at the Journal of Public Economics [Dataset]. http://doi.org/10.3886/E113930V1
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    Dataset updated
    Sep 1, 2014
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Raj Chetty; Emmanuel Saez; Laszlo Sandor
    Description

    We evaluate policies to increase prosocial behavior using a field experiment with 1,500 referees at the Journal of Public Economics. We randomly assign referees to four groups: a control group with a six-week deadline to submit a referee report; a group with a four-week deadline; a cash incentive group rewarded with $100 for meeting the four-week deadline; and a social incentive group in which referees were told that their turnaround times would be publicly posted. We obtain four sets of results. First, shorter deadlines reduce the time referees take to submit reports substantially. Second, cash incentives significantly improve speed, especially in the week before the deadline. Cash payments do not crowd out intrinsic motivation: after the cash treatment ends, referees who received cash incentives are no slower than those in the four-week deadline group. Third, social incentives have smaller but significant effects on review times and are especially effective among tenured professors, who are less sensitive to deadlines and cash incentives. Fourth, all the treatments have little or no effect on rates of agreement to review, quality of reports, or review times at other journals. We conclude that small changes in journals' policies could substantially expedite peer review at little cost. More generally, price incentives, nudges, and social pressure are effective and complementary methods of increasing prosocial behavior.

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Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela (2023). Economic Relevant News from The Guardian [Dataset]. https://ri.conicet.gov.ar/handle/11336/190076

Economic Relevant News from The Guardian

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Dataset updated
Jul 4, 2023
Authors
Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela
License

Attribution-NonCommercial-ShareAlike 2.5 (CC BY-NC-SA 2.5)https://creativecommons.org/licenses/by-nc-sa/2.5/
License information was derived automatically

Dataset funded by
Universidad Nacional del Sur
Description

The news: The present dataset consists of 1789 news articles from the British daily newspaper The Guardian extracted using the content endpoint of The Guardian Open Platform. The news articles were, at the time, all the news corresponding to the sections: business, politics, society and world news for the entire month of January of 2013 (for a total of 1689 news) and an extra set of news articles randomly selected from the period Febrary of 2013 to December of 2015 (100 news articles). The first set of 1689 news articles was used for training and the second set of 100 news articles was used for testing in two publications: * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018, November. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018). * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. Inteligencia Artificial, 22(63), pp.61-80. The labels: The entire dataset was manually classified into two possible categories: economically relevant and irrelevant. The labelling process was carried out by two experts in Economy working in collaboration. For each news article, the full text of the article was analyzed to determine the category. The format: There are two different versions for this dataset: the reduced and the full versions. The former consists of a CSV and a readme file. The CSV file has five columns: "Instance No.", "Title", "Web Publication Date", "web URL" and "Economically Relevant". This version is reduced in columns as it does not include the full article texts; however, it does include all the 1789 instances. Requesting the full dataset: To gain access to the full version of the dataset (which includes the body of the news articles), please send an email to mariano.maisonnave@cs.uns.edu.ar with a copy to openplatform@theguardian.com requesting authorization and making it clear that the data set will not be used for commercial purposes.

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