Further Results on the Errors-in-the-Variables Problem
Purchase
Purchase Print Copy
| Format | List Price | Price | |
|---|---|---|---|
| Add to Cart | Paperback14 pages | $20.00 | $16.00 20% Web Discount |
Notes on the omission of two important aspects of the errors-in-the-variables problem — the effects on the power of the [t]-statistic test when the explanatory variables in an OLS regression contain measurement errors, and the case in which there is measurement error in more than one explanatory variable. This paper is concerned with the effects of measurement errors in one or more explanatory variables on the asymptotic bias of the coefficients and the [t]-test. The discussion progresses from examination of a simple regression model with one explanatory variable, to a model with two explanatory variables, and finally, an expansion to the [n]-variable model by way of partitioning.
This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.