Showing 57-64 of 272 results
Micro-Level Swedish Housing, Wealth, and Consumption Data from a Homeownership Privatization Experiment

Micro-Level Swedish Housing, Wealth, and Consumption Data from a Homeownership Privatization Experiment

jona.frroku
Open Dataset
Creators: Statistics Sweden
Publication Date: 2023/09/11
Creators: Statistics Sweden

This dataset contains detailed micro-level Swedish data on demographics, housing, income, consumption, financial wealth, and debt. It was used by Paolo Sodini, Stijn Van Nieuwerburgh, Roine Vestman, and Ulf von Lilienfeld-Toal in their 2023 American Economic Review study, which exploits a quasi-random homeownership privatization program to estimate the causal effects of homeownership. The dataset enables analysis of wealth accumulation, portfolio risk-taking, and consumption smoothing across age groups.

Firm-Level Data on Risk, Performance, and Socioemotional Wealth in Swedish Family and Non-Family Firms

Firm-Level Data on Risk, Performance, and Socioemotional Wealth in Swedish Family and Non-Family Firms

jona.frroku
Open Dataset
Creators: Luis R. Gómez-Mejia, Francesco Chirico, Geoffrey Martin, Massimo Baù
Publication Date: 2022
Creators: Luis R. Gómez-Mejia, Francesco Chirico, Geoffrey Martin, Massimo Baù

This dataset contains matched firm-level data from Sweden used to examine how financial distress and family ownership interact to affect the relationship between risk-taking and performance. It was used by Luis R. Gómez-Mejia, Francesco Chirico, Geoffrey Martin, and Massimo Baù in their 2023 Entrepreneurship Theory and Practice paper. The analysis supports the mixed gamble theory, showing that family firms behave differently under distress, extracting higher or lower returns from risk depending on their financial situation.

Texas Workers’ Compensation Data on Doctor-Patient Gender Match and Medical Evaluation Outcomes

Texas Workers’ Compensation Data on Doctor-Patient Gender Match and Medical Evaluation Outcomes

jona.frroku
Open Dataset
Creators: Texas Department of Insurance, Division of Workers’ Compensation
Publication Date: 2023/04/10
Creators: Texas Department of Insurance, Division of Workers’ Compensation

This dataset contains administrative microdata from the Texas Workers’ Compensation program, including information on disability evaluations, physician and patient gender, and benefit disbursements. It was used by Marika Cabral and Marcus Dillender in their 2024 American Economic Review study to analyze the causal impact of gender matching between doctors and patients on medical evaluation outcomes and resulting disability benefits.

Longitudinal Data on Genetics, Parental Investments, and Child Skill Formation in Early Childhood

Longitudinal Data on Genetics, Parental Investments, and Child Skill Formation in Early Childhood

jona.frroku
Open Dataset
Creators: Avon Longitudinal Study of Parents and Children (ALSPAC)
Publication Date: 2023/07/20
Creators: Avon Longitudinal Study of Parents and Children (ALSPAC)

This dataset integrates longitudinal genetic data with measures of parental investments and child skill development from early childhood. It was used by Mikkel Aagaard Houmark, Victor Ronda, and Michael Rosholm in their 2024 American Economic Review paper to study the dynamic interaction between biological and environmental factors in skill formation. The data enables the estimation of direct, indirect, and family genetic effects across early developmental stages.

U.S. County-Level Data on Ancestry Exposure and Attitudes Toward Immigrants

U.S. County-Level Data on Ancestry Exposure and Attitudes Toward Immigrants

jona.frroku
Open Dataset
Creators: Leonardo Bursztyn, Thomas Chaney, Tarek A. Hassan, and Aakaash Rao
Publication Date: 2023/10/23
Creators: Leonardo Bursztyn, Thomas Chaney, Tarek A. Hassan, and Aakaash Rao

This dataset contains longitudinal, county-level data used to examine how prolonged exposure to individuals of a given foreign ancestry influences native residents’ attitudes and behaviors toward that group. It was used by Leonardo Bursztyn, Thomas Chaney, Tarek A. Hassan, and Aakaash Rao in their 2024 American Economic Review study. The analysis combines donation records, survey responses, policy preferences, and social proximity indicators—particularly focusing on exposure to Arab Muslims.

China Air Quality Disclosure Program Data on Pollution, Public Awareness, and Behavioral Responses

China Air Quality Disclosure Program Data on Pollution, Public Awareness, and Behavioral Responses

jona.frroku
Open Dataset
Creators: Chinese Center for Disease Control and Prevention (CDC), China National Environmental Monitoring Centre
Publication Date: 2023/11/18
Creators: Chinese Center for Disease Control and Prevention (CDC), China National Environmental Monitoring Centre

This dataset contains pollution monitoring data and behavioral indicators related to China’s 2013 air quality disclosure program. It was used by Panle Jia Barwick, Shanjun Li, Liguo Lin, and Eric Yongchen Zou in their 2024 American Economic Review study to evaluate the causal effects of real-time pollution information on public behavior, health outcomes, and economic responses. The data include air quality measures, health statistics, and consumer purchase data for pollution protection goods.

China Nationwide Field Experiment Data on Citizen Appeals and Environmental Governance

China Nationwide Field Experiment Data on Citizen Appeals and Environmental Governance

jona.frroku
Open Dataset
Creators: Continuous Emissions Monitoring System (CEMS)
Publication Date: 2023/12/11
Creators: Continuous Emissions Monitoring System (CEMS)

This dataset comes from a large-scale randomized field experiment in China evaluating how different types of citizen appeals (public vs. private) influence pollution violations and regulatory behavior. It was used by Mark T. Buntaine, Michael Greenstone, Guojun He, Mengdi Liu, Shaoda Wang, and Bing Zhang in their 2024 American Economic Reviewpaper. The dataset includes pollution violation records, treatment assignments, emission levels, and prefecture-level policy variables, enabling both direct and spillover effect estimation.

Experimental and Spatial Labor Market Data from Addis Ababa Public Works Program

Experimental and Spatial Labor Market Data from Addis Ababa Public Works Program

jona.frroku
Open Dataset
Creators: World Bank
Publication Date: 2024/03/13
Creators: World Bank

This dataset includes data from a randomized rollout of an urban public works program across neighborhoods in Addis Ababa, Ethiopia. It was used by Simon Franklin, Clément Imbert, Girum Abebe, and Carolina Mejia-Mantilla in their 2024 American Economic Review paper. The dataset includes information on employment, wages, local amenities, and commuting flows, enabling the estimation of direct program impacts and equilibrium wage spillovers using a spatial model.

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