Determinants of digital financial inclusion in terms of access and usage have been calculated using a logistic regression model and the marginal effect which was calculated using Stata software. Estimates in terms of the regression coefficient, significant level, marginal effect, pseudo-R square, and ...
The mixed logit models were estimated using the mixlogit module to derive the regression coefficients, while the WTP module was used to calculate the corresponding marginal Willingness-To-Pay in monetary terms (€) (Hole, 2007), implemented in STATA 18.0 software (StataCorp LP, College Station,...
When M=2, the gologit model is equivalent to the logistic regression model. When M>2, the gologit model becomes equivalent to a series of binary logistic regressions where categories of the dependent variable are combined; e.g., if M=4, then for J=1 category 1 is contrasted with ...
Stata software (Release 16, StataCorp LLC., College Station, TX, USA) was used for all analyses, and a significance level of 5% was used [23]. Output for healthiest-product outcomes was presented as relative risk (RR) of linear regression coefficient, with 95% confidence intervals, and ...