Since 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decision-making (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans.

Data from the Integrated Health Interview Survey. These data are archived to facilitate replication of Abowd and Schmutte (2017) "Revisiting the Economics of Privacy."http://digitalcommons.ilr.cornell.edu/ldi/22/

Reuters Polls gather insights from experts, presenting the perspectives of leading financial market forecasters at specific moments. These forecasters consist of economists, strategists from both the sell-side and buy-side, independent analysts, and some scholars. The polling archives encompass detailed predictions and consensus estimates for over 900 economic indicators, currency exchange rates, central bank policies on interest rates, money market rates, and bond yields.

The International City/County Management Association (ICMA) conducts national surveys of all U.S. counties and ~8,000 U.S. municipalities with populations of 2,500 or greater on topics of interest to local governments, including forms of government, economic development, service delivery, and sustainability.Economic Development Survey: Examines economic development practices, including economic development funding activities, business retention, business attraction, and more.DATA AVAILABLE FOR YEARS: 2004, 2009, 2014

Access LSEG's Economist Intelligence Unit (EIU) data, providing country analysis and forecasts to government and industry.

United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data was reported at 47.000 % in 29 Oct 2024. This records a decrease from the previous number of 48.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data is updated weekly, averaging 47.000 % from Jul 2024 (Median) to 29 Oct 2024, with 15 observations. The data reached an all-time high of 49.000 % in 17 Sep 2024 and a record low of 41.000 % in 23 Jul 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued).

United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

This data release is based on a survey of Ph.D. and non-Ph.D. granting U.S. economics departments for the years 1994-2020 and 2006-2020, respectively. The primary source of data is the annual Committee on the Status of Women in the Economics Profession (CSWEP) surveys. CSWEP is a committee of the American Economic Association (AEA). These data are supplemented with data from the AEA's Universal Academic Questionnaire (UAQ) information when CSWEP data observations are missing for a given institution and year. Observations that are missing in both CSWEP and UAQ surveys are imputed using linear interpolation. This study includes variables on the number and composition of faculty, the number of undergraduate, graduate, and Ph.D. students, and job placement status for Ph.D. graduates. Many of these variables are reported by gender.CSWEP has undertaken the collection of data on gender composition of faculty and students in both Ph.D. granting and non-Ph.D. granting U.S. economics departments since 1972.

Consensus Economics is a world-leading international economic survey organisation, gaining forecasts and views from economists. View the data through LSEG.

Japan Economy Watchers: Diffusion Index: Current Economics Conditions: sa data was reported at 45.100 NA in Mar 2025. This records a decrease from the previous number of 45.600 NA for Feb 2025. Japan Economy Watchers: Diffusion Index: Current Economics Conditions: sa data is updated monthly, averaging 47.150 NA from Aug 2001 (Median) to Mar 2025, with 284 observations. The data reached an all-time high of 58.500 NA in Dec 2021 and a record low of 8.100 NA in Apr 2020. Japan Economy Watchers: Diffusion Index: Current Economics Conditions: sa data remains active status in CEIC and is reported by Cabinet Office. The data is categorized under Global Database’s Japan – Table JP.S074: Economy Watchers Survey: Seasonally Adjusted. [COVID-19-IMPACT]

The Board would use the FR 3076 to seek input from users or potential users of the Board's public website, social media, outreach, and communication responsibilities. The survey would be conducted with a diverse audience of consumers, banks, media, government, educators, and others to gather information about their visit to the Board's public website. Responses to the survey would be used to help improve the usability and offerings on the Board's public website and other online public communications. The frequency of the survey and content of the questions would vary as needs arise for feedback on different resources and from different audiences. The Board anticipates the FR 3076 may be conducted up to 12 times per year, although the survey may not be conducted that frequently. In addition, the Board anticipates conducting up to four focus group sessions per year.

Business Tendency Surveys for Manufacturing: Order Books: Level: European Commission and National Indicators for the United States was -11.50000 Net % in June of 2025, according to the United States Federal Reserve. Historically, Business Tendency Surveys for Manufacturing: Order Books: Level: European Commission and National Indicators for the United States reached a record high of 41.00000 in May of 2021 and a record low of -54.00000 in December of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for Business Tendency Surveys for Manufacturing: Order Books: Level: European Commission and National Indicators for the United States - last updated from the United States Federal Reserve on September of 2025.

Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Decrease data was reported at 4.300 % in Sep 2018. This records a decrease from the previous number of 8.500 % for Jun 2018. Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Decrease data is updated quarterly, averaging 11.700 % from Mar 2002 (Median) to Sep 2018, with 67 observations. The data reached an all-time high of 72.500 % in Mar 2003 and a record low of 0.000 % in Dec 2008. Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Decrease data remains active status in CEIC and is reported by Epinion. The data is categorized under Global Database’s Norway – Table NO.S009: Business Survey: Epinion: Interest Rate and Exchange Rate Expectation.

Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Unchanged data was reported at 31.900 % in Dec 2018. This records an increase from the previous number of 28.300 % for Sep 2018. Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Unchanged data is updated quarterly, averaging 31.300 % from Mar 2002 (Median) to Dec 2018, with 68 observations. The data reached an all-time high of 48.300 % in Sep 2004 and a record low of 8.300 % in Dec 2008. Norway Business Survey: Epinion: Effective Exchange Rate Expectation: Economist: Next 12 Months: Unchanged data remains active status in CEIC and is reported by Epinion. The data is categorized under Global Database’s Norway – Table NO.S009: Business Survey: Epinion: Interest Rate and Exchange Rate Expectation.

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

This dataset compiles 133 academic articles from twelve leading economics journals that discuss "technological unemployment." It provides a comprehensive view of how economists have conceptualized the relationship between technological change and employment over time.The articles were collected through a systematic search for the term "technological unemployment" across the full text of influential economics publications, including the "top five" journals (American Economic Review, Journal of Political Economy, Quarterly Journal of Economics, Review of Economic Studies, and Econometrica), five general interest journals (Economic Journal, Review of Economics and Statistics, Annual Review of Economics, Journal of Economic Perspectives, and Journal of Economic Surveys), and two field journals (Labour Economics and Economics of Innovation and New Technology). The collection spans from 1928 to recent publications.

After identifying 153 initial articles, we conducted a manual review to exclude non-substantive pieces, book reviews, and conference programs, resulting in the final corpus of 133 articles. Each article was then hand-coded along multiple dimensions:

Contribution type: Theoretical, Empirical, or Survey/Review

Theoretical possibility: Whether technological unemployment is considered possible in theory

Empirical occurrence: Whether technological unemployment is observed to have occurred in practice

Examples: Specific instances of technologically-induced job loss cited by authors

Temporal dimension: Whether effects are classified as permanent or temporary

Scale dimension: Whether effects are discussed at aggregate, sectoral/occupational, or individual levels

The detailed coding methodology is available in the Appendix of our paper "What is Technological Unemployment?". The dataset facilitates quantitative and qualitative analysis of how this concept has been treated in mainstream economics literature across different historical periods of technological change. More generally, it offers valuable resources for researchers studying the historical evolution of economic thought or patterns in academic concerns.

When using this dataset, please cite: Schneider, B., & Küsters, A. (2025). Dataset: Technological Unemployment in Leading Economics Journals [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15011373.For the complete analysis, refer to our (working) paper: Küsters, A., & Schneider, B. (2025). What is Technological Unemployment?

The paper investigates the publishing behavior of economics’ scholars. Promotion committees relying heavily on publication metrics cause publication pressure and subsequent strategic adaptions. The subjectively perceived publication pressure is heavily dependent on the academic rank and reaches its maximum at the assistant professors without tenure. Furthermore, academics’ journal selection strategy and resilience concerning rejections are investigated. Unexpectedly, scholars at German “Excellence Universities” compared to other universities in German-speaking countries do not feel more burdened by the «publish or perish» need, nor do they differ with respect to their journal submission strategy and the resilience to having papers rejected.

View Reuters Polls to understand the views of top forecasters in financial markets, and gain polling history of detailed forecasts and consensus estimates.

Yearly citation counts for the publication titled "THE ECONOMICS OF NETWORKS: A SURVEY OF THE EMPIRICAL LITERATURE".

Economists are by many accounts the most influential group of experts in contemporary political decision-making. While the literature on the power of economists mostly focuses on the policy ideas of economic experts, some recent studies suggest that economists also hold particular technocratic ideas about the policy process. The article systematically tests this argument. Focusing on economists within government bureaucracy, the study is based on a quantitative analysis of a large-scale survey of Norwegian ministerial civil servants. It finds that economists are more likely to hold technocratic role perceptions than officials with other educational backgrounds only if they work in the finance ministry or in higher administrative grades. The findings contribute to scholarship on the political sway of economists and to debates about technocracy and the technocratic views of civil servants. This dataset contains two files: 1. An Excel file that contains the full codebook. 2. A Stata .do file with the code we used in our analysis. Original datasets are available at Norske forskningsdata: 1996 survey DOI: https://doi.org/10.18712/NSD-NSD1925-1-V3 2006 survey DOI: https://doi.org/10.18712/NSD-NSD1926-1-V3 2016 survey DOI: https://doi.org/10.18712/NSD-NSD2670-2-V2