
A Simple Hypothesis of Income Distribution.
Purchase
Purchase Print Copy
Format | List Price | Price | |
---|---|---|---|
Add to Cart | Paperback26 pages | $20.00 | $16.00 20% Web Discount |
A discussion of a model for predicting income distribution across states. The basic assumption is a constant industry wage structure and level across areas; therefore, the amount of human capital is a function of the industry mix in a given area. Variables such as discrimination, education and training, labor supply, and property income were not considered to be of significant influence. The model is tested using data from 51 states and the District of Columbia. The results are analyzed using canonical correlation. This indicates that the basic hypothesis serves very well in predicting income distribution across states and that factors other than industry mix are either not important in determining the shape of the income distribution or are correlated with industry mix in the sample. 26 pp.
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.