omitted variable bias
[/əˈmɪtɪd ˈvɛriəbəl ˈbaɪəs/]
nounpl: omitted variable biases
viés de variável omitida
1. A statistical bias that occurs in regression analysis when a relevant independent variable is excluded from the model, causing the estimated coefficients of the included variables to be biased and inconsistent
The study suffered from omitted variable bias because it failed to control for education level when analyzing the relationship between experience and salary.
O estudo sofreu de viés de variável omitida porque não controlou o nível de educação ao analisar a relação entre experiência e salário.
2. In econometrics and statistical modeling, the distortion of regression results when important explanatory variables are left out of the equation
Researchers must be careful to avoid omitted variable bias by including all theoretically relevant variables in their models.
Os pesquisadores devem ter cuidado para evitar viés de variável omitida incluindo todas as variáveis teoricamente relevantes em seus modelos.
This is a technical term primarily used in academic and research contexts in both Brazil and the USA. It is essential in econometrics, statistics, and social science research. The concept is taught extensively in graduate-level econometrics courses and is critical for researchers to understand when designing studies and interpreting statistical results. The term carries no colloquial usage outside of academic and professional statistical contexts.
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