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The difference between the expected value of a parameter estimator & the true value of the parameter. Do NOT use this tag to refer to the [bias-term] / [bias-node] (ie the [intercept]).
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Potential bias in a study design
My question is - am I in risk to suffer from some sort of selection bias here if I am to remove the last group from my study? …
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Accepted
Incidental parameter problem
In FE models of the type
$$y_{it} = \alpha_i + \beta X_{it} + u_{it}$$
$\alpha$ is the incidental parameter, because theoretically speaking, it is of a secondary importance. Usually, $\beta$ is the im …