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Bias Reduction for Dynamic Nonlinear Panel Models with Fixed Effects
Fixed Eff ects Dynamic Nonlinear Panel Models
2015/9/22
The fixed effects estimator of panel models can be severely biased because of well-known incidental parameter
problems. It is shown that this bias can be reduced as T grows with n. We con...
Iterative bias reduction multivariate smoothing in R: The ibr package
multivariate smoothing L2 boosting thin-plate splines kernel regression R
2011/6/20
In multivariate nonparametric analysis, sparseness of the co-
variates also called curse of dimensionality, forces one to use large smoothing
parameters. This leads to a biased smoother. Instead of ...
Analytic Bias Reduction for k-Sample Functionals
Bias reduction k–samples Nonparametric U–statistics Unbiased estimate Von Misesderivatives
2010/3/18
We give analytic methods for nonparametric bias reduction that remove the need for
computationally intensive methods like the bootstrap and the jackknife.
We call an estimate pth order if its bias h...