Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/stein-rule-estimation-in-genetic-carrier-testing-aoBjz568xw
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd
- ISSN
- 1757-1170
- eISSN
- 1757-1189
- DOI
- 10.1504/IJCEE.2020.107369
- Publisher site
- See Article on Publisher Site
Abstract
In this paper, we apply the fully correlated random parameters logit (FCRPL) model to the genetic carrier testing data using shrinkage estimation. We show that shrinkage estimates with higher shrinkage constant improve the percentages of correct predicted choices by 2% and 10% respectively with Jewish and general population samples. The mean estimates of elasticity based on the shrinkage estimates are closer to those with the FCRPL model estimates and have smaller standard errors than the corresponding results based on the uncorrelated random parameters logit model estimates.
Journal
International Journal of Computational Economics and Econometrics – Inderscience Publishers
Published: Jan 1, 2020