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 ...
Models were weighted to account for non-responses and to ensure findings were representative of the British adult population. 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...
Collected quantitative and qualitative data were coded, cleaned, and analyzed using the Stata software, version 16.1. Descriptive statistics were generated to summarize the social survey data and to describe respondents. Data on ratings of farmers’ preferences for traits were categorical (1 = not ...
Since the 1970s, although the Chinese central government has constructed farmland rights confirmation policy to stimulate the vitality of rural land elements, it is rare to discuss the effectiveness of the policy from the perspective of farmers. This pap
In the multiple logistic regression analysis conducted, the various factors, specifically community, sex, age group, and participation in previous MDA in relation to FTS positivity had different correlations. The odds of getting infected within the different communities was found to be 0.82, but this...