Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/302895 
Year of Publication: 
2024
Series/Report no.: 
I4R Discussion Paper Series No. 151
Publisher: 
Institute for Replication (I4R), s.l.
Abstract: 
We conduct a computational replication of Atanasov et al. (2023). In total, our analysis covers three variations: we use the cleaned dataset provided in the replication package, we clean the original data ourselves, and finally we extend the dataset to encompass an additional three years of data using the webscraper provided by the authors. The additional data boosts the final observation count by approximately one-quarter. We find that the results are robust; the data in the replication package results in nearly the same estimates and an extension of the data and specifications reduces the effect size and statistical significance, but does not change the conclusions. We further conduct a wide range of robustness checks. While some estimates have smaller effect sizes and lower statistical significance, all results support the original findings.
Subjects: 
Replication
Analysis of Collective Decision-Making
Wages
Compensation
and Labor Costs
Gender Discrimination
JEL: 
D7
J3
J7
Document Type: 
Working Paper

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