model misspecification bias
[ˈmɑːdəl ˌmɪsspɛsɪfɪˈkeɪʃən ˈbaɪəs]
nounpl: model misspecification biases
viés de especificação incorreta do modelo
1. In statistics and econometrics, the systematic error that arises when a statistical model is incorrectly specified, omitting relevant variables, including irrelevant variables, or using an incorrect functional form, leading to biased and inconsistent parameter estimates
The researcher's model misspecification bias occurred when she failed to include the interaction term between price and advertising in her regression analysis.
O viés de especificação incorreta do modelo ocorreu quando a pesquisadora não incluiu o termo de interação entre preço e publicidade em sua análise de regressão.
2. A form of bias in econometric estimation resulting from deviations between the assumed model structure and the true data generating process
Model misspecification bias can lead to incorrect policy recommendations if causal relationships are not properly identified.
O viés de especificação incorreta do modelo pode levar a recomendações de políticas incorretas se as relações causais não forem identificadas adequadamente.
This is a technical term primarily used in academic, research, and econometric contexts in both Brazil and the USA. It reflects the importance placed on statistical rigor in economic and business analysis. In Brazilian universities and research institutions, understanding model misspecification bias is considered fundamental to graduate-level econometrics training. The term is rarely used outside technical/academic discourse.
Related Idioms & Phrases
garbage in, garbage out (GIGO) - referring to poor model specification leading to poor results
wrong side of the equation - indicating incorrect model formulation
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