262 Resources

Open Dataset

Showing 65-72 of 262 results
Administrative Data from Federal Disaster Recovery Loan Applications

Administrative Data from Federal Disaster Recovery Loan Applications

jona.frroku
Open Dataset
Creators: Federal recovery loan program data
Publication Date: 2023/11/16
Creators: Federal recovery loan program data

This dataset underlies the Econometrica paper by Benjamin Collier and Cameron Ellis (2024), which estimates a demand curve for disaster recovery loans using administrative records of over one million applicants. The data include household-level application records from a federal loan program offered after natural disasters, combined with exogenous variation in interest rates from 24 natural experiments. The dataset enables replication of results regarding credit demand sensitivity, interest rate elasticity, and the impact of credit scores on loan take-up.

Air Pollution and Labor Supply: Evidence from Mexico City

Air Pollution and Labor Supply: Evidence from Mexico City

jona.frroku
Open Dataset
Creators: Inter-American Development Bank (IDB) & Zenodo
Publication Date: 2024/04/24
Creators: Inter-American Development Bank (IDB) & Zenodo

This dataset supports the Econometrica article by Bridget Hoffmann and Juan Pablo Rud (2024), which investigates the effects of PM2.5 air pollution on daily labor supply in Mexico City. Using high-frequency locality-level pollution data and worker-level labor outcomes, the authors estimate nonlinear labor responses to pollution spikes. The dataset includes measurements of pollution, hourly labor supply indicators, and demographic differentiators (e.g., income level, job flexibility). It is used to analyze behavioral adjustments and inequalities in labor market impacts due to environmental stressors.

Experimental Data on Occupational Safety and Health Committees in Bangladeshi Apparel Factories

Experimental Data on Occupational Safety and Health Committees in Bangladeshi Apparel Factories

jona.frroku
Open Dataset
Creators: Columbia University, Laura Boudreau
Publication Date: 2024/05/28
Creators: Columbia University, Laura Boudreau

This dataset accompanies the 2024 Econometrica study by Laura Boudreau, which investigates the causal impact of Occupational Safety and Health (OSH) committees on workplace safety in Bangladeshi factories. The study was conducted via a large-scale field experiment involving 84 supplier factories and 29 multinational buyers. Half of the factories were randomly assigned to a treatment group that received enhanced OSH committee enforcement. The dataset includes factory-level compliance metrics, objective safety indicators, labor outcomes (wages, employment, productivity), and worker-reported satisfaction measures. It supports analysis of how international enforcement mechanisms interact with local managerial capacity.

Fiscal Capacity and State Consolidation Data for Territories in the Holy Roman Empire

Fiscal Capacity and State Consolidation Data for Territories in the Holy Roman Empire

jona.frroku
Open Dataset
Creators: Davide Cantoni, Cathrin Mohr, and Matthias Weigand
Publication Date: 2024/07/31
Creators: Davide Cantoni, Cathrin Mohr, and Matthias Weigand

This dataset supports the 2024 Econometrica study by Cantoni, Mohr, and Weigand on how early fiscal reforms shaped political survival, size, and compactness of territories within the Holy Roman Empire. The dataset includes novel administrative, fiscal, and geographic variables on territories and cities during the early modern period. Key indicators include the timing and type of fiscal reforms, Imperial tax burdens, revenue sources, military investments, and dynastic outcomes. The authors exploit quasi-random variation in Imperial taxation to establish causality. This dataset enables the replication of their empirical strategy and exploration of mechanisms such as administrative consolidation and absolutist transitions.

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.

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