An analysis of the indicator saturation estimator as a robust regression estimator

Beskrivelse

An algorithm suggested by Hendry (1999) for estimation in a regression with more regressors than observations, is analyzed with the purpose of finding an estimator that is robust to outliers and structural breaks. This estimator is an example of a one-step M-estimator based on Huber's skip function. The asymptotic theory is derived in the situation where there are no outliers or structural breaks using empirical process techniques. Stationary processes, trend stationary autoregressions and unit root processes are considered.

Periode	19 jun. 2009
Begivenhedstitel	International conference on robust statistics
Begivenhedstype	Konference
Arrangør	ICORS
Placering	Parma, Italien, ItalienVis på kort