probit
1
9.9
- noun
- /ˈproʊbɪt/
- Specialized
- Probit or logit models are often used for dichotomous outcomes such as obesity.
- probit model
- probit regression
- probit function
Examples
-
Indeed, the widely used logit and probit models will give different estimates.
Academic text (2013) -
Given the use of two dichotomous dependent variables, we estimate probit models to test our hypothesis.
Academic text (2016) -
Further, it is not significant in any of the probit equations.
Academic text (1990) -
But you basically use that first stage probit to get a propensity.
-
Second, we draw several hypotheses from these debates that we will test through our probit models.
Academic text (2014) -
Notes: The table reports estimates from IV probit regressions.
Academic text (2018) -
The probit results are even more consistent: in none of these is a polity structure variable significant.
Academic text (1990) -
For these reasons and others, it is important not to assume causality based on the results of the probit regression.
Academic text (2014) -
Perhaps more importantly, logit or probit techniques cannot easily accommodate duration dependence.
Academic text (2002) -
The researchers used a probit model to analyze the impact of education on voting behavior.
Synonyms
1
9.9
The log of the odds for a probability used in statistics
Surface Forms
Morphology
probit = probability + unit (semi-transparent) = prob + it
A technical blended coinage from 'probability' + 'unit'; the morphological source is clear to statisticians but not directly inferable by an average B1 learner.
Etymology
Probit comes from a shortening of the phrase 'probability unit', so think of probability + unit. It was created to turn chances (for example 'yes' or 'no') into a single number in statistics, so remembering it as the 'probability unit' explains why we use it for models of two-choice outcomes.