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algebraic transformations show, the FE interaction estimator picks up unit-specific effect heterogeneity of both variables … “double-demeaned” estimator is not subject to bias caused by unobserved effect heterogeneity. It is, however, less efficient …
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Inference for estimates of treatment effects with clustered data requires great care when treatment is assigned at the group level. This is true for both pure treatment models and difference-in-differences regressions. Even when the number of clusters is quite large, cluster-robust standard...
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This paper studies linear panel regression models in which the unobserved error term is an unknown smooth function of … functional form to be more general and unknown. We discuss two different estimation approaches that allow consistent estimation … the number of factors in the estimation grows asymptotically. The second approach first discretizes the two-way unobserved …
Persistent link: https://www.econbiz.de/10012663772
(LS-MD) estimation method. -- dynamic panel ; interactive fixed effects ; measurement error ; LS-MD estimation …This paper studies a simple dynamic panel linear regression model with interactive fixed effects in which the variable …
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We consider estimation and inference for a regression coefficient in panels with interactive fixed effects (i.e., with …-aware CIs that are uniformly valid regardless of whether the factors are strong or not. Our approach applies the theory of … minimax linear estimation to form a debiased estimate using a nuclear norm bound on the error of an initial estimate of the …
Persistent link: https://www.econbiz.de/10014312069