First-year student Rohan Rajiv is blogging once a week about important lessons he is learning at Kellogg. Read more of his posts here. One of the nicest things about being in graduate management ...

We offer a new perspective on the low-beta anomaly by acknowledging the omitted-variable problem in the correlation component of beta: Correlation is "plagued" by firm size (the omitted variable) to ...

This is a preview. Log in through your library . Abstract The omission of important variables is a well-known model specification issue in regression analysis and mixed linear models. The author ...

This refers to any bias in a predictive model which is the result of the omission of variables that are relevant to the outcome. The omission of a relevant variable can, among other things, lead to ...