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(Debiased) Inference for Fixed Effects Estimators with Three-Dimensional Panel and Network Data
Inference for fixed effects estimators is often unreliable due to Nickell- and incidental parameter biases. While these issues are well understood for classical two-dimensional panels, little is known about three-dimensional panel structures (e.g., sender x receiver x time). We develop inferential t
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