endogeneity
- noun
- /ˌɛndəʊdʒəˈnɛɪɪti/
- Specialized
- Next, the same model is estimated using instrumental variables for the TEL dummy variable to control for possible endogeneity.
- control for endogeneity
Examples
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The potential endogeneity of state taxes is addressed using an IV approach.
Blog text (16) -
The OLS estimates shown in row 5 that do not account for endogeneity yield much smaller effects.
Academic text (2017) -
When controlling for endogeneity, the impact on women is more dramatic.
Academic text (2017) -
The latter two approaches are employed to address the endogeneity associated with the choice of reporting frequency.
Blog text (32) -
These early studies, however, did not control for the endogeneity of the LTV ratio in the approval process.
Academic text (2016) -
More recent studies generally find that the LTV ratio is not statistically significant after controlling for endogeneity.
Academic text (2016) -
For females, the results indicate a substantially large negative coefficient, even when controlling for occupational endogeneity.
Academic text (2017) -
A model controlling for occupational endogeneity changes the coefficient on the variable Black from a statistically significant negative to a positive outcome.
Academic text (2017) -
Controlling for endogeneity is necessary for 11 of the 15 salary regressions; however, only the race coefficients in the engineer, manager, and manual labor models are statistically significant.
Academic text (2017) -
In statistical analysis, controlling for endogeneity helps to obtain more reliable estimates of the effects of variables.
Surface Forms
Morphology
endogeneity = endogenous (semi-transparent) = endo + gen + ity
Formally transparent as a nominalization, but in econometrics the term labels a specialized statistical condition that is not deducible from the base without domain knowledge.
Etymology
The word endogeneity comes from endo- 'within' and -geny 'origin', like the root in generate and generation. In statistics it means a variable comes from inside the system and can give wrong or unreliable results because cause and effect are mixed.
