precise estimation of the standard errors (or the entire covariance matrix) of the model parameter estimates. In this article …, it is shown analytically that the currently widely used form of calculation leads to underestimated standard errors … quality of the standard errors. The practical importance of this finding is discussed and illustrated using a real data …

countries. Adding to it, three different models like FEM, REM, and Panel-corrected standard errors are used for the analysis. In …

distinct values. In particular, we study the common practice of using confidence intervals (CIs) based on standard errors that …

standard errors. Similarly, even when the true form of heteroskedasticity is unknown, heteroskedasticity consistent standard …-in standard errors often have coverage that is below the nominal level, especially for small sample sizes. In this paper, it is … errors can be used to base valid inference on a weighted least squares estimator. Using a weighted least squares estimator …

estimator, the WLS estimator can be accompanied by heterokedasticty-consistent (HC) standard errors without knowledge of the …

precise estimation of the standard errors (or the entire covariance matrix) of the model parameter estimates. In this article …, it is shown analytically that the currently widely used form of calculation leads to underestimated standard errors … quality of the standard errors. The practical importance of this finding is discussed and illustrated using a real data …