Table 4 illustrates regression outputs of the multivariate probit model.
A quantitative analysis was done with a multivariate probit model.
To formulate the causal relationships, we used a multivariate probit model.
Table 3 Correlation matrix of the technologies from the multivariate probit model.
Table 4 Determinants of energy choices using multivariate probit model Explanatory variables Firewood Charcoal Biogas Dried dung Coef.
To discover the extent of household's choice among available energy sources, a multivariate probit model was used (Table 5).
In multivariate Probit model, each subject has a covariate vector that can be any mixture of discrete and continuous variables.
A total of 154 honey-producing households were surveyed, and the data obtained were analyzed by using multivariate probit model.
The multivariate probit model is characterized by a set of "n" binary-dependent variables (y i) with outcome of binary decisions for each energy choice.
Lastly, we use a multivariate probit model to explore how the decision of holding stock is related to the decision of holding other types of assets.
