Debiased Inference for Fixed Effects Models in Complex Data

This ArXiv paper explores methods for improving the accuracy of statistical inference in the context of panel and network data. The focus on debiasing fixed effects estimators is particularly relevant given their widespread use in various fields.

• •Addresses the challenge of accurate inference in complex datasets.
• •Focuses on debiasing fixed effects estimators.
• •Relevant for researchers using panel and network data.