Robust Estimation of Regression Models with Dependent Regressors: The Functional Least Squares Approach
In the case of regression models, one robust estimation procedure which has recently emerged is that of functional least squares. The procedure is based on the use of characteristic functions for which the tail behavior is relected by the behavior of these functions at the origin. Its attraction is that it is applicable to situations where the distribution of the disturbances may be long-tailed and/or asymmetric.
Year of publication: |
1986
|
---|---|
Authors: | Welsh, A. H. ; Nicholls, D. F. |
Published in: |
Econometric Theory. - Cambridge University Press. - Vol. 2.1986, 01, p. 132-150
|
Publisher: |
Cambridge University Press |
Description of contents: | Abstract [journals.cambridge.org] |
Saved in:
Saved in favorites
Similar items by person
-
Welsh, A. H., (1986)
-
The estimation of multivariate random coefficient autoregressive models
Nicholls, D. F., (1981)
-
Multiple autoregressive models with random coefficients
Nicholls, D. F., (1981)
- More ...