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Stein-rule estimation in genetic carrier testing

Author

Listed:
  • Tong Zeng
  • R. Carter Hill

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.

Suggested Citation

  • Tong Zeng & R. Carter Hill, 2020. "Stein-rule estimation in genetic carrier testing," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 10(2), pages 111-128.
    • Handle: RePEc:ids:ijcome:v:10:y:2020:i:2:p:111-128
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