bias arising from the presence of noise. Conditions are obtained under which this bias is asymptotically non … the density and quantile function. Our approach can be connected to corrections for selection bias and shrinkage …

bias in the empirical distribution arising from the presence of noise. The leading bias in the empirical quantile function … mean and variance have been derived. Given a closed-form expression for the bias, bias-corrected estimator of the …-parametric and easy to implement. Our approach can be connected to corrections for selection bias and shrinkage estimation and is to …

bias in the empirical distribution arising from the presence of noise. The leading bias in the empirical quantile function … for selection bias and shrinkage estimation and is to be contrasted with deconvolution. Simulation results confirm the …

order. Combining these equations with sample splitting yields higher-order bias-corrected estimators of target parameters …

We consider the bias of the 2SLS estimator in the linear instrumental vari-ables regression with one endogenous … regressor only. By using asymptotic expansion techniques we approximate 2SLS coefficient estimation bias under various scenarios … regarding the number and strength of instruments.The resulting approximation encompasses existing bias approximations, which are …