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Essays on inference from multi-stage samples with applications to inequality measurement and on estimation of monotone index models

Bhattacharya, Debopam - 2003

Persistent link: https://www.econbiz.de/10003385099

Nonparametric autoregression with multiplicative volatility and additive mean

Yang, Lijian; Härdle, Wolfgang; Nielsen, Jens Perch - 1998

Persistent link: https://www.econbiz.de/10000168636

Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis

Wichert, Laura (contributor); Wilke, Ralf A. (contributor) - 2005

The paper analyses the potential impact of stock market developments on lending behaviour from different perspectives. First we scrutinize the impact of stock market movements on the banks’ and on the borrowers’ balance sheets. Subsequently we estimate aggregate credit supply and demand...

Persistent link: https://www.econbiz.de/10003342766

Uniform confidence bands for pricing kernels

Härdle, Wolfgang; Okhrin, Yarema; Wang, Weining - 2010

with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk … estimated nonparametrically too. In this framework, we develop the asymptotic distribution theory of the EPK in the L1 sense …, as an alternative to the asymptotic approach, we propose a bootstrap confidence band. The developed theory is helpful for …

Persistent link: https://www.econbiz.de/10003952791

Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis

Wichert, Laura (contributor); Wilke, Ralf A. (contributor) - 2007

In many econometric applications it is unclear from the very beginning whether a parametric functional of a continuous regressor should be specified as a linear, as a higher order polynomial or as a piecewise linear. Nonparametric estimators can provide relevant information as they are a...

Persistent link: https://www.econbiz.de/10003527620

Imposing and testing curvature conditions on a Box-Cox function

Koebel, Bertrand M.; Falk, Martin; Laisney, François - 2000

We present a new method for imposing and testing concavity of a cost function using asymptotic least squares, which can easily be implemented even for cost functions which are nonlinear in parameters. We provide an illustration on the basis of a (generalized) Box-Cox cost function with six...

Persistent link: https://www.econbiz.de/10011445626