Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias, which generally is not estimated consistently when using the bootstrap and conventionally smoothed function estimators. To overcome this problem it is common practice to either...

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. This design arises in many institutional settings where a policy variable (such as weekly...

Regression analysis is one statistical data analysis techniques in the most widely used to determine the relationship between the predictor variable (X) with the response variable (Y). In regression analysis, the regression curve can be approximated by nonparametric regression model....