The phrase "a probit specification" is correct and usable in written English.
It can be used in the context of statistical modeling, particularly when discussing a type of regression analysis that models binary outcome variables.
Example: "In our analysis, we employed a probit specification to estimate the likelihood of success based on various predictors."
Alternatives: "a probit model" or "a probit regression".
We obtain similar results using a probit specification.
As an additional test to validate the results presented in Table 2, we repeat the analysis using a probit specification instead of linear regressions.
That is, like Keane and Moffitt (1998) we adopt a probit specification, but we do not restrict it to be ordered.
The remainder of the table is divided in two halves, one reporting regression statistics derived from a linear probability model, and another for a probit specification.
Instead of a linear model, we carry out the analysis using the nonlinear specification in Eq. 2, where the conditional expectation of the dependent binary variable is a nonlinear function that follows a Probit specification.
We consider two binary employment outcomes: "at work" and "working in a higher occupation".8 We report estimates for a probit specification (see e.g. Puhani, 2012), noting that results are qualitatively the same if a linear probability specification is used (results can be obtained from the authors upon request).
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.
In fact, we joint estimate entrepreneurship and occupational choices, treating academic achievement as given, using a bivariate probit specification of equation (3) and (4).
19To check the validity of our results, we have also extended Ai et al. (2004) method to the case of an ordered probit specification.
To model the association between self-perceived health and other socioeconomic status and test the hypotheses, we use an ordered probit specification.
First, the group-level model, which is based on a slight generalization of Amemiya's (1974) grouped bivariate probit specification, allows for a straightforward application of instrumental variables.
