The binary-choice regression models such as probit and logit are used to describe the effect of explanatory variables … separation of data and non-identification of parameter estimates. To provide a robust estimation method for binary-choice … regression, we con- sider a maximum symmetrically-trimmed likelihood estimator (MSTLE) and design a parameter-free adaptive …

The binary-choice regression models such as probit and logit are typically estimated by the maximum likelihood method …