excluded variable bias
[ɪkˈskluːdɪd ˈvɛriəbəl ˈbaɪəs]
nounpl: excluded variable biases
viés de variável omitida
1. A statistical bias that occurs in regression analysis when a relevant variable is omitted from the model, causing the estimated coefficients of included variables to be biased and inconsistent
The study suffered from excluded variable bias because the researchers failed to control for socioeconomic status.
O estudo sofreu com viés de variável omitida porque os pesquisadores falharam em controlar o status socioeconômico.
2. The distortion in parameter estimates resulting from the absence of an important predictor variable that is correlated with included variables
Excluded variable bias can lead to spurious correlations and incorrect policy recommendations.
O viés de variável omitida pode levar a correlações espúrias e recomendações de políticas incorretas.
This term is primarily used in academic and professional contexts within economics, statistics, and quantitative social sciences. It reflects the importance placed on methodological rigor in empirical research across both Brazilian and American academic institutions. The concept is fundamental to understanding why proper model specification is critical for reliable policy analysis and business decision-making.
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