Sentence examples for a probit selection from inspiring English sources

Suggestions(1)

The phrase "a probit selection" is correct and usable in written English.
It is typically used in statistical contexts, particularly in econometrics, to refer to a type of model that accounts for selection bias in data analysis.
Example: "In our study, we employed a probit selection model to better understand the factors influencing the decision-making process."
Alternatives: "a probit model" or "a probit analysis".

Exact(2)

We apply a probit selection model to account for the firm's decision to cooperate (or not).

We therefore estimate a probit selection model (Van de Ven and Van Pragg 1981) consisting of two binary dependent variables: Loss, which equals 1 if the firm exhibits bottom-line losses and 0 otherwise; and OrdLoss, which equals 1 if the firm reports negative ordinary income and 0 otherwise.

Similar(58)

The study used a bivariate probit selection model to control for the potential bias due to selective participation [ 53].

Tables 6 and 7 portray descriptive summary of explanatory variables used in the Heckman probit selection and outcome models, respectively.

11 We do not report the results of the year-by-year first stage probit selection model, but these can be made available on request.

Therefore, the Heckman probit selection model is employed in this study to investigate the determinants of perception and adaptation to climate change.

Developing the methodology to incorporate the interviewer random effects directly into bivariate probit selection models, or other approaches to eliminate this potential attenuation bias, would be a useful advance.

We consider a model in which individuals i are sorted into 4 categories 0,…,3 on the basis of an ordered-probit selection rule: z^_{i}=gamma't_{i} + u_{i}; (16).

Second, to analyze the effect of social media interactions on customer retention, we use a probit model with sample selection (heckprobit).

To investigate the relation between social media interactions and customer churn, in the first step, we employ a probit model with sample selection (Van de Ven et al. 1981).

A probit model with the sample selection was carried out to investigate whether conditional estimates are affected by selection bias [ 21, 22].

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