Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5059532 | Economics Letters | 2013 | 4 Pages |
Abstract
Missing data is a common problem in economics studies. We propose using Mallows model averaging (MMA) to deal with this problem, which has an important advantage over its competitors in that it asymptotically achieves the lowest possible squared error. A simulation study in comparison with existing methods strongly favors the MMA estimator.
Keywords
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Xinyu Zhang,