A jackknife maximum likelihood estimator for the probit model

Sunil Sapra ()

Applied Economics Letters, 2002, vol. 9, issue 2, 73-74

Abstract: The maximum likelihood estimator for the Probit model can be substantially biased in small samples.This paper proposes a bias-corrected jackknife maximum likelihood estimator (JMLE) for the Probit model which corrects bias up to O(1/n-squared) unlike the ordinary MLE which corrects bias up to O(1/n). An application of the JMLE to Spector and Mazzeo (1980) data for analysing the effectiveness of a new method of teaching economics is also presented.

Date: 2002
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DOI: 10.1080/13504850110050683

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