Umeå Economic Studies, Department of Economics, Umeå University
No 451:
Lest squares estimation of a zero-truncated count data regression model
Kurt Brännäs ()
Abstract: A new approach to limited-dependent variable count data or
other model types is considered. Instead of adopting maximum likelihood
estimation based on a full distributional assumption or smoothing
techniques and semiparametric estimation, the novel idea is to use an
approximation to the probability of, say, the zero event. The approximation
is based on moments and uses old results for the probability generating
function. The approximation is evaluated in a small Monte Carlo experiment.
In empirical models of choice set size for Swedish unemployed and of
nationalization frequencies for developing countries the results indicate
good performance both computationally and resultwise. The results indicate
that already quite low order expansions are well-behaved and useful for
estimation.
Keywords: Probability Generating Function; Factorial Moment; Zero-Truncation; Least Squares; Unemployed; Nationalization.; (follow links to similar papers)
JEL-Codes: C21; C24; C25; (follow links to similar papers)
6 pages, December 15, 1997
Download Statistics
- This paper is published as:
-
Brännäs, Kurt, (1997), 'Lest squares estimation of a zero-truncated count data regression model', American Statistical Association: Proceedings of the Business and Economic Statistics Section, pages 189-194
Questions (including download problems) about the papers in this series should be directed to Kjell-Göran Holmberg ()
Report other problems with accessing this service to Sune Karlsson ()
or Helena Lundin ().
Programing by
Design by Joachim Ekebom
