A Neyman-orthogonal moment estimator with adjusted nonparametric fixed effects achieves root-NT asymptotic normality for common parameters in two-way heterogeneous panel models.
Representations for partially exchangeable arrays of random variables
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Nonparametric imputation of missing network links produces consistent estimates for downstream GMM and linear-in-means models.
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Inference on Linear Regressions with Two-Way Unobserved Heterogeneity
A Neyman-orthogonal moment estimator with adjusted nonparametric fixed effects achieves root-NT asymptotic normality for common parameters in two-way heterogeneous panel models.
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Flexible Imputation of Incomplete Network Data
Nonparametric imputation of missing network links produces consistent estimates for downstream GMM and linear-in-means models.