A simple lemma is derived to support the claim that regression models can be manipulated to a very large extent: by simply adding one regressor one can obtain essentially every set of desired regression coefficients and predictions as well ast-values and standard errors. Consequently, if the product of a specification search is not shown to be generalizable, a sceptical attitude towards its validity is well-founded.
KeywordsStandard Error Regression Model Regression Coefficient Stochastic Process Probability Theory
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