273 Resources

Open Dataset

Showing 81-88 of 273 results
Lifestyle Choices and Wealth-Health Dynamics in Germany (Life-Cycle Model Data)

Lifestyle Choices and Wealth-Health Dynamics in Germany (Life-Cycle Model Data)

jona.frroku
Open Dataset
Creators: Lukas Mahler and Minchul Yum
Publication Date: 2024/07/12
Creators: Lukas Mahler and Minchul Yum

This dataset supports the Econometrica article by Mahler and Yum (2024), which examines the mechanisms behind observed wealth disparities across health statuses in Germany—a country with universal healthcare. The authors develop a heterogeneous-agent life-cycle model in which health and wealth co-evolve based on individual lifestyle efforts subject to adjustment costs. The dataset includes model simulation outputs, parameter estimates, and replication materials for decomposing wealth-health gaps into savings, earnings, and behavioral effort channels. The materials allow researchers to replicate and extend the structural estimation that attributes approximately one-quarter of the wealth gap to differential lifestyle behaviors.

COVID-19 County-Level Data with Political Classification (U.S., 2020)

COVID-19 County-Level Data with Political Classification (U.S., 2020)

jona.frroku
Open Dataset
Creators: The New York Times (COVID data); Harvard Dataverse; National Governors Association
Publication Date: 2023/07
Creators: The New York Times (COVID data); Harvard Dataverse; National Governors Association

This dataset underpins the analysis conducted by Eutsler, Harris, Williams, and Cornejo (2023) in Accounting, Organizations and Society, which investigates partisan influences on the reporting of COVID-19 cases and deaths in the United States. The authors apply Benford’s Law to examine irregularities in county-level COVID-19 statistics from January 21 to November 3, 2020. Their study integrates COVID-19 case data from The New York Times, political affiliation data from the 2020 gubernatorial roster (National Governors Association), and county-level political leanings from the 2016 U.S. presidential election. The result is a composite dataset linking epidemiological reporting behavior with political partisanship indicators to assess statistical conformity and potential misreporting.

Firm-to-Firm Matching and Agglomeration Data (Japan)

Firm-to-Firm Matching and Agglomeration Data (Japan)

jona.frroku
Open Dataset
Creators: Yuhei Miyauchi
Publication Date: 2024/09/15
Creators: Yuhei Miyauchi

This dataset supports the Econometrica article by Yuhei Miyauchi (2024), which investigates the role of matching frictions and market thickness in shaping spatial agglomeration through firm-to-firm trade in Japan. Using panel data that tracks supplier-client relationships before and after supplier bankruptcies, the study quantifies the impact of geographic supplier density on rematching speed. The dataset includes firm-level trade and location data, simulation outputs from the general equilibrium model, and empirical estimates that validate the thick market externality. The materials enable replication of the reduced-form analyses and the calibration of the spatial equilibrium model that links population density to regional wages.

Chinese Social Media and Protest Dynamics Dataset (2009–2017)

Chinese Social Media and Protest Dynamics Dataset (2009–2017)

jona.frroku
Open Dataset
Creators: Sina Weibo
Publication Date: 2024/08/14
Creators: Sina Weibo

This dataset accompanies the Econometrica article by Bei Qin, David Strömberg, and Yanhui Wu (2024), which analyzes the role of social media in shaping protest and strike dynamics across China from 2009 to 2017. It includes data on 13.2 billion Weibo (microblog) posts—tweets and retweets—used to measure social media communication across Chinese cities. The study exploits the staggered rollout of Weibo access to identify the causal impact of digital communication on the geographical spread, diversification, and escalation of protests. The dataset provides the foundation for modeling protest wave propagation and network-based diffusion of social action in tightly monitored environments.

COVID-19 infection cases and deaths in the United States

COVID-19 infection cases and deaths in the United States

jona.frroku
Open Dataset
Creators: The New York Times
Publication Date: 2020/01/21 - 2020/11/03
Creators: The New York Times

This dataset, compiled and maintained by The New York Times, contains daily counts of COVID-19 cases and deaths at the county level in the United States. It was used in the study “Accounting for partisanship and politicization: Employing Benford’s Law to examine misreporting of COVID-19 infection cases and deaths in the United States” to assess potential misreporting of COVID-19 statistics. The dataset spans from early 2020 onwards and includes columns such as date, county, state, FIPS code, cumulative cases, and cumulative deaths.

Real-World LLM Use Cases

Real-World LLM Use Cases

Stefan
Open Dataset
Creators: Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang
Publication Date: 2025-03-24
Creators: Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang

This data contains 93,259 LLM use cases collected from Reddit and news articles between June 2020 and December 2024. It captures two key dimensions: the diverse applications of LLMs and the demographics of their users. It categorizes LLM applications and explores how users’ occupations relate to the types of applications they use.

If you use this dataset, please cite this paper: https://doi.org/10.48550/arXiv.2503.18792.

Consolidated banking statistics

Consolidated banking statistics

carol.reyes.dulong
Open Dataset
Creators: BIS statistics
Publication Date: 2025-03-11
Creators: BIS statistics

The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group’s parent is headquartered.

While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group’s controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups’ country risk exposures, on either an immediate counterparty or a guarantor basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group’s home country.

Debt securities statistics

Debt securities statistics

carol.reyes.dulong
Open Dataset
Creators: BIS statistics
Publication Date: 2025-03-11
Creators: BIS statistics

This data set covers borrowing and investment activities in debt capital markets, capturing debt instruments designed to be traded in financial markets such as treasury bills, commercial paper, negotiable certificates of deposit, bonds, debentures and asset-backed securities. These statistics are harmonised with the recommendations of the Handbook on securities statistics (HSS) and distinguish between debt securities issued and held in international and domestic markets.

The data set is available at quarterly frequency for over 50 economies starting as early as 1946. It benefited from close collaboration with national central banks and national authorities, also as part of the G20 Data Gaps Initiative.

Total debt securities are issued by residents in all markets. Domestic (international) debt securities are issued in (outside) the local market of the country where the borrower resides, regardless of the currency denomination of the security. As valuation methods differ across countries, some amounts are presented at market value and others at nominal or face value.

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