Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5062017 | Economics Letters | 2008 | 4 Pages |
Abstract
Standard non-parametric weak separability tests do not account for measurement errors in the data. We propose a method to determine if rejections of weak separability obtained using such tests can be attributed to random measurement errors in the quantity data.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Thomas Elger, Barry E. Jones,