Showing 1-8 of 233 results
Firm-Level Data Linking Sociopolitical Claims to Political Contributions and Politician Ratings

Firm-Level Data Linking Sociopolitical Claims to Political Contributions and Politician Ratings

jona.frroku
Open Dataset
Creators: Susanne Preuss, Malte M. Max
Publication Date: 2024/12
Creators: Susanne Preuss, Malte M. Max

This dataset contains firm-level data linking sociopolitical claims—focused on diversity and environmental protection—to political action committee (PAC) contributions and politician ratings from advocacy groups. It was used by Susanne Preuss and Malte M. Max in their 2024 study published in Accounting, Organizations and Society to assess political alignment between firms’ public statements and their actual political spending behavior.

Experimental and Survey Data on the Effects of Peer-to-Peer Recognition in the Workplace

Experimental and Survey Data on the Effects of Peer-to-Peer Recognition in the Workplace

jona.frroku
Open Dataset
Creators: Paul W. Black, Mark S. Cecchini, Andrew H. Newman
Publication Date: 2024/12
Creators: Paul W. Black, Mark S. Cecchini, Andrew H. Newman

This dataset contains experimental and survey responses used to analyze the psychological effects of peer-to-peer recognition in the workplace. The data was collected as part of the study by Paul W. Black, Mark S. Cecchini, and Andrew H. Newman, published in Accounting, Organizations and Society (2024). The dataset explores how different types of recognition (anonymous vs. attributed) influence perceived appreciation and employee engagement, including responses from both lab experiments and field surveys.

Pharmacy-Level Data on Opioid Dispensing and Ownership Structures During the U.S. Opioid Epidemic

Pharmacy-Level Data on Opioid Dispensing and Ownership Structures During the U.S. Opioid Epidemic

jona.frroku
Open Dataset
Creators: Aljoscha Janssen, Xuan Zhang
Publication Date: 2022/05/21
Creators: Aljoscha Janssen, Xuan Zhang

This dataset contains pharmacy-level data on prescription opioid orders, including OxyContin, and tracks pharmacy ownership status (independent vs. chain). It was used by Aljoscha Janssen and Xuan Zhang in their 2023 study published in the American Economic Review to analyze how ownership affects opioid dispensing behavior. The dataset supports comparisons between pharmacy types and captures the effects of the 2010 OxyContin reformulation.

Parcel-Level Data on Oil and Gas Lease Outcomes from Auctions and Informal Negotiations in Texas

Parcel-Level Data on Oil and Gas Lease Outcomes from Auctions and Informal Negotiations in Texas

jona.frroku
Open Dataset
Creators: Thomas R. Covert, Richard L. Sweeney
Publication Date: 2023/01/11
Creators: Thomas R. Covert, Richard L. Sweeney

This dataset includes parcel-level information on oil and gas lease terms and production outcomes for both auctioned and informally negotiated leases in Texas. It was used by Thomas R. Covert and Richard L. Sweeney in their 2023 American Economic Review study to compare economic performance under formal versus informal allocation mechanisms during the fracking boom. The data supports analyses of upfront payments, output volumes, and lease structure across allocation types.

Census-Linked PM2.5 Pollution Data for Racial Exposure Disparity Analysis in the U.S.

Census-Linked PM2.5 Pollution Data for Racial Exposure Disparity Analysis in the U.S.

jona.frroku
Open Dataset
Creators: Janet Currie, John Voorheis, Reed Walker
Publication Date: 2022 /12/20
Creators: Janet Currie, John Voorheis, Reed Walker

This dataset links individual-level census microdata to high-resolution satellite-based PM2.5 pollution measures across the U.S. It was used by Janet Currie, John Voorheis, and Reed Walker in their 2023 American Economic Review study to examine the convergence in Black-White disparities in particulate pollution exposure. The data supports decomposition of Clean Air Act impacts and quantile regression analyses across communities.

Firm-Level Trade Data on the Economic Impact of the 2014 Russia–Ukraine Conflict

Firm-Level Trade Data on the Economic Impact of the 2014 Russia–Ukraine Conflict

jona.frroku
Open Dataset
Creators: Vasily Korovkin, Alexey Makarin
Publication Date: 2022/04/17
Creators: Vasily Korovkin, Alexey Makarin

This dataset includes firm-level trade transaction data between Ukraine and Russia surrounding the 2014 Russia–Ukraine conflict. It was used by Vasily Korovkin and Alexey Makarin in their 2023 study published in the American Economic Review to examine how the conflict affected trade relationships, particularly through the lens of intergroup social capital and ethnic composition. The dataset enables a difference-in-differences analysis of conflict exposure and trade decline by ethnicity distribution.

Simulated Trip-Level Vehicular Speed Data for 180 Indian Cities

Simulated Trip-Level Vehicular Speed Data for 180 Indian Cities

jona.frroku
Open Dataset
Creators: Prottoy Akbar, Victor Couture, Gilles Duranton, Adam Storeygard
Publication Date: 2023/03/13
Creators: Prottoy Akbar, Victor Couture, Gilles Duranton, Adam Storeygard

This dataset contains over 57 million simulated trips across 180 Indian cities, used to estimate city-level vehicular speed indices decomposed into uncongested speed and congestion. It was used by Prottoy Akbar, Victor Couture, Gilles Duranton, and Adam Storeygard in their 2023 American Economic Review study to analyze urban mobility patterns. The data is verified against actual trip data and supports the study’s findings on the effects of density, population, and development on urban speed.

International Trade, Travel, and Pandemic Risk Data for General Equilibrium Analysis

International Trade, Travel, and Pandemic Risk Data for General Equilibrium Analysis

jona.frroku
Open Dataset
Creators: Pol Antràs, Stephen J. Redding, Esteban Rossi-Hansberg
Publication Date: 2023/01/19
Creators: Pol Antràs, Stephen J. Redding, Esteban Rossi-Hansberg

This dataset includes international trade, travel, and pandemic exposure data used to analyze the relationship between globalization and infectious disease transmission. It was used by Pol Antràs, Stephen J. Redding, and Esteban Rossi-Hansberg in their 2023 American Economic Review study to model trade-driven travel as an epidemiological externality and to quantify general equilibrium responses such as endogenous social distancing behavior during pandemics.

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