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 …

We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and … construct a number of bias corrected OLS and IV estimators, which we show to be consistent under a sequential asymptotic scheme …. These bias-corrected estimators are also robust, in the sense that they remain consistent in a conventional asymptotic setup …

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 …

We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and … construct a number of bias corrected OLS and IV estimators, which we show to be consistent under a sequential asymptotic scheme …. These bias-corrected estimators are also robust, in the sense that they remain consistent in a conventional asymptotic setup …

OLS regression, even classical measurement error can generate bias. I examine the pattern and size of the bias using both … simulation and an empirical example. The simulations indicate that classical error can cause bias and that non …-classical measurement error, particularly heteroskedastic measurement error, has the potential to produce substantial bias. Also, the size …

local and marginal treatment effects. First, we characterize the bias, due to the omitted variables U, of (nonparametric …) regression and instrumental variables estimands, thereby generalizing the classic linear regression omitted variable bias formula …

which bias covariance estimates. Initial results show there is a bias, that removing likely index arbitrage trades yields a …