What is a standard error? (And how should we compute it?)
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Publication:6090601
DOI10.1016/j.jeconom.2023.105517OpenAlexW4387116556MaRDI QIDQ6090601
Publication date: 17 November 2023
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2023.105517
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Longitudinal data analysis using generalized linear models
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- GMM estimation with cross sectional dependence
- Asymptotic properties of a robust variance matrix estimator for panel data when \(T\) is large
- On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
- Asymptotic theory for clustered samples
- Cluster-robust inference: a guide to empirical practice
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis
- Potential outcomes and finite-population inference for M-estimators
- When Should You Adjust Standard Errors for Clustering?
- Sampling
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