and does not depend on the sampling schemes. It is based upon projection of simultaneous confidence bands for distribution …

and does not depend on the sampling schemes. It is based upon projection of simultaneous confidence bands for distribution …

censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …

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 …

Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias … overcome this problem it is common practice to either undersmooth, so as to reduce the impact of bias, or oversmooth, and … thereby introduce an explicit or implicit bias estimator. However, these approaches, and others based on nonstandard smoothing …