The phrase "a probit estimation" is correct and usable in written English.
It can be used in statistical or econometric contexts when referring to a type of regression model used for binary outcome variables.
Example: "In our analysis, we conducted a probit estimation to determine the factors influencing the likelihood of default."
Alternatives: "a probit model" or "a probit analysis".
Moreover, KS perform Monte Carlo simulations which indicate that their estimator is considerably more accurate than a probit estimation when the errors are not normally distributed.
We obtain the predicted value of ROE from a probit estimation (Table 5); the second stage probit regression is estimated using this predicted value of ROE.
The empirical analysis is based on a probit estimation, covering 115,000 firm-level observations between 1998 and 2015.
Table 3 indicates results from a probit estimation of the determinants of the probability of getting exposed to at least one improved pigeonpea varieties.
The 'Methods' section is followed by a presentation of the results from a probit estimation using the pooled and individual country samples as well as those from the post-estimation simulations.
To reverse it, we use the constant and slope coefficients, Π 0 and Π 1, respectively, that we obtain from a probit estimation of w ij ∗ on the index ( γ ̂ i Z j ).
We, therefore, have E y|x, w = 1) = P y = 1|x, w = 1) with an assumption of a probit model, g x, β) = Φ(xβ).In this case the parametric estimation of ATE reduces to a standard probit estimation restricted to the exposed sub-sample.
In this first step – making abstraction of the eventual sample selection bias – we compare the adjusted R-squared from a binomial probit estimation of Eqn. (1), with and without including the set of dummies for the type of mismatch between the education level and the occupational attainment in the last job held in the home country twelve months prior to immigration.
However, it is unclear whether these interaction effects are computed correctly as the true effect of an interaction term in a logit or probit estimation may differ, both in sign and magnitude as well as in statistical significance, from the one reported by the initial estimation command [ 15, 16].
A random-effects probit estimation was employed to reveal the determinants of both caregivers' mental health and continuation of caregiving.
If this correlation of the equations is not significant, a separate (univariate) probit estimation of the equations is preferable, as the bivariate probit model is less efficient.
