Showing 1-8 of 43 results

Operational Firm Risk Dataset

Creators: Vivek Astvansh and Joseph Simpson
Publication Date: 2025
Creators: Vivek Astvansh and Joseph Simpson

The authors score 131,920 firm-years (16,959 firms, 2005 to 2024) on eight risk factors: (1) accounting, (2) finance, (3) international, (4) legal, (5) management, (6) marketing, (7) operations, and (8) technology. We measure each transformer’s performance on eight metrics.

Their OSF repository (https://osf.io/gz93b/files/osfstorage?view_only=9086f51f8704462d8933a8131b22da25) includes an Excel file that contains a data dictionary (dataset_dictionary.xlsx) and count and probability scores of the eight risk factors for 131,920 firm-years (16,959 firms, 2005 to 2024) (dataset.xlsx).

CEO Dismissal and Turnover Dataset for S&P 1500 Firms (1992–2022)

Creators: Richard J. Gentry, Joseph Harrison, Timothy Quigley, Steven Boivie
Publication Date: 2023-11-09
Creators: Richard J. Gentry, Joseph Harrison, Timothy Quigley, Steven Boivie

This dataset captures CEO departures across S&P 1500 firms from 1992 to 2022, with qualitative codes identifying the reason for each turnover (e.g., dismissal, retirement, new opportunity). Each entry includes company and executive identifiers, tenure details, and announcement/departure dates. The data support alignment with Execucomp and are intended for research in corporate governance, executive leadership, firm performance, and succession planning. Regularly updated, this open-access dataset includes supporting notes and source references.

U.S. and Global Financial Market Reactions to Monetary Policy

Creators: Yuriy Gorodnichenko, University of California-Berkeley; Tho Pham, University of Reading; Oleksandr Talavera, University of Birmingham
Publication Date: 2022-12-05
Creators: Yuriy Gorodnichenko, University of California-Berkeley; Tho Pham, University of Reading; Oleksandr Talavera, University of Birmingham

This dataset collection integrates detailed data on U.S. monetary policy decisions, media coverage, and high-frequency financial market responses across a variety of global asset classes. It includes parsed FOMC statements and meeting minutes, sentiment and volume metrics from newspaper media coverage, and monetary policy shocks based on Swanson’s event-study methodology. Complementing these are a series of data files containing estimated intraday asset price responses covering currencies (EUR, GBP, JPY), U.S. Treasuries (IEF, IEI), inflation-protected securities (TIPS), gold, and equities, aligned with monetary policy announcement timing. These datasets enable empirical research into the transmission of monetary policy through financial markets, central bank communication, and global asset price dynamics.

Creators: Diego Daruich, USC

This collection includes data from two major long-term studies in the United States: the Panel Study of Income Dynamics (PSID) and the National Longitudinal Survey of Youth (NLSY). These datasets follow individuals and families over time to track changes in income, education, employment, and family characteristics.

The data help researchers and policymakers understand how people’s lives develop across generations, such as how early-life conditions, schooling, and job experiences affect income and well-being later in life. The files include information on household income, cost of living adjustments, age and education patterns, and cognitive skill measures. The datasets are widely used to study social mobility, inequality, and the impact of education and economic policy.

Loan Decisions and Outcomes in a Field Experiment on Credit Access

Creators: Gharad Bryan, London School of Economics; Dean Karlan, Northwestern University; Adam Osman, University of Illinois
Publication Date: 2024-05-24
Creators: Gharad Bryan, London School of Economics; Dean Karlan, Northwestern University; Adam Osman, University of Illinois

This dataset collection originates from a randomized field experiment studying loan access and repayment outcomes. It includes borrower-level survey data from multiple rounds (baseline, midline, and endline), treatment assignments, loan performance records, and a loan officer survey. The variables cover firm revenues, borrowing history, employment, predicted repayment outcomes, and treatment status. The datasets enable research on how credit access, predictive tools, and human decision-making interact in small business lending.

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo
Publication Date: 2024-09-20
Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo

This dataset bundle offers a granular and multi-layered view into the operations, enforcement behavior, and financial dynamics of the Congolese traffic police across three distinct branches. The data include daily, hourly, and event-level logs of traffic stops, allegations, income, and quotas at the station–intersection level. Observational surveys, station-level descriptive indicators, and randomized treatment rosters allow tracking of quota imposition, officer behavior, and revenue patterns under varying policy and enforcement conditions. Additional linkage files connect street-level incidents with specific enforcement units, enabling relational analysis. This compilation supports both experimental and descriptive evaluations of institutional behavior, accountability mechanisms, and state-society interactions in urban governance contexts.

California Urban, Financial, and Geographic Information (1920–1940)

Creators: Sarah Quincy, Vanderbilt University
Publication Date: 2024-09-16
Creators: Sarah Quincy, Vanderbilt University

This collection compiles historical data on California cities spanning primarily 1920 to 1940, integrating demographic, geographic, economic, and financial information to support research on urban development, banking, and social inequality during the interwar period. It includes census-based city-level summaries from 1920, 1930, and 1940; GIS files mapping the presence or absence of Bank of America branches; historical banking records detailing branch openings, balance sheets, and building and loan associations; city-level housing and property value assessments; per capita income indicators; and geographic crosswalks linking census enumeration districts across time. Together, these data enable analyses of financial access, institutional expansion, and the effects of the Great Depression across diverse California communities.

Information on LPG Access, Distribution Networks, and Administrative Classifications in India

Creators: Prabhat Barnwal, Michigan State University
Publication Date: 2024-10-18
Creators: Prabhat Barnwal, Michigan State University

This data collection brings together administrative records, survey responses, and classification files related to access to Liquefied Petroleum Gas (LPG) in India. It includes district- and state-level identifiers, household- and business-level survey data, and delivery agent records. The variables capture LPG consumption patterns, distribution coverage, delivery timelines, and implementation phases of LPG-related programs. Supplementary files provide state and district codes, census identifiers, and mappings across multiple administrative datasets, enabling harmonized geographic reference and program tracking.

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