A common method to estimate probit and logit models is:
A) moment conditions.
B) within estimator.
C) maximum likelihood estimation.
D) OLS.

Question

Quizplus · Accepted Answer

Maximum likelihood estimation is the most commonly used method to estimate probit and logit models. This method maximizes the likelihood function to find the values of the parameters that best fit the observed data. The other methods mentioned (moment conditions, within estimator, and OLS) are either not applicable or less commonly used for these types of models.

A Common Method to Estimate Probit and Logit Models Is