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Controlling for potential endogeneity, we use a bivariate probit model to take into account the simultaneity of financial constraints and the decision to abandon an innovation project.
We therefore test the hypothesis that these two decisions are correlated and use a bivariate probit model that considers training provision and the use of temporary employment simultaneously.
To address this potential endogeneity, we use a bivariate probit model to account for the presence of r as a binary endogenous variable (Roodman 2011) that equals one if the household receives remittances and zero otherwise.
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However, using a bivariate probit model with partial observability we demonstrate that boardroom characteristics are important, while the type of owner is less relevant.
In this study the Contingent Valuation Method with the double bounded dichotomous choice format was used to elicit WTP for agricultural heritage (AH) conservation, which was modeled using a Bivariate Probit specification.
Using a bivariate probit model, we find that exposure to severe food insecurity risk increases the propensity to insure against health risks, and this propensity is increasing in background risk intensity.
To this end, we have carried out an empirical study using a bivariate probit model, where the dependent variable we want to analyze is the household attitude to recycling batteries, which we explain through a set of attitudinal and socio-economic factors, together with an endogenous factor representing the environmental concern of the individuals.
We developed a model of the relationship between product innovation and open innovation practice using a bivariate probit model.
In fact, we joint estimate entrepreneurship and occupational choices, treating academic achievement as given, using a bivariate probit specification of equation (3) and (4).
Using a bivariate probit model that accounts for both endogeneity and non-linearity issues, we find both positive and negative effects of remittances on the likelihood of schooling.
The second stage of the microsimulation model uses a bivariate probit model to estimate the decision of current workers to move from one sector to another.
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