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 ...

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 ...

Dealing with the Venezuelan Regime and the Cartels It Enables The Filibuster ‘at This Point in Time’ No, Mr. President, the ‘Affordability Issue’ Is Not Dead Audio By Carbonatix Alan Krueger, ...

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 ...