Victoria-Feser, Maria-Pia (1996) Choosing between two income distribution models with contaminated data. DARP, 18. Suntory and Toyota Centres for Economics and Related Disciplines, London School of Economics and Political Science, London, UK.
Full text not available from this repository.Abstract
Choosing between two income distribution models typically involves testing two non-tested hypotheses, that is hypotheses such that one cannot be obtained as a special or limiting case of the other. Cox (1961, 1962) proposed a classical testing procedure based on the comparison of the maximised likelihood functions for the two models. In this paper it is shown that such a procedure is not robust in that a single observation can reverse the decision. Its robustness properties as well as other properties are shown in simulated examples
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | http://sticerd.lse.ac.uk |
| Additional Information: | © 1996 Maria-Pia Victoria-Feser |
| Uncontrolled Keywords: | M-estimators; model choice; robust tests; income distribution; linear regression |
| Library of Congress subject classification: | H Social Sciences > HB Economic Theory |
| Sets: | Collections > Economists Online Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD) |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| Identification Number: | 18 |
| URL: | http://eprints.lse.ac.uk/6611/ |
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