Sentence examples for binary logit model measures from inspiring English sources

The coefficient of the estimated binary logit model measures the impact of a one-unit change in an explanatory variable (Ri) on the log of odds of a health insurance policy ownership, holding other explanatory variables constant.

Our aim is to extend the standard binary logit model to random-effects model to permit spatial clustering and heterogeneity.

Our third step, using a binary logit model, was to estimate the determinant of the probability of a mobile person to become an intensive traveller.

Thus, we took the results of the binary logit model.

Table 2 provides model estimation results for the cross-sectional binary logit model and the mixed logit model.

The VOSL model is established based on the binary Logit model.

For multilevel data, the resulting model is called the multilevel sequential binary logit model (MBL).

Thus, the binary logit model [33] is an appropriate modeling method for behavior analysis.

This equation corresponds to a binary logit model across time periods of new employment.

All the variables remaining in the final cross-sectional binary logit model take statistically significant coefficients.

For estimation, we used a binary logit model because of the binary nature of the explained variable.