Replication Data for: COVID-19 Data Reliability and Institutions

Name: Replication Data for: COVID-19 Data Reliability and Institutions
Creator: FEARP/USP; FUCAPE Business School; University of East Anglia; Federal University of Espírito Santo
Published: 2021-01-01T00:00:00+08:00

Harvard Dataverse2021-09-12 更新2026-04-09 收录

数据验证

多因素影响分析

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/W8HEUU 数据链接链接失效反馈

官方服务：

资源简介：

In this paper, we investigate the role played by institutions in providing useful and reliable information during the COVID-19 pandemic. We use the conformity to Benford's Law as a measure of reliability of COVID-19 number of cases at the country level. Then, we test the impact of strong institutions on reliability using OLS and IV regressions. Our results indicate that a strong institutional environment increases data reliability of COVID-19 confirmed cases.

提供机构：

FEARP/USP; FUCAPE Business School; University of East Anglia; Federal University of Espírito Santo

创建时间：

2021-01-01