Structural relations among variable coefficients: with applications to demand systems and labor supply

by Lee A. Lillard


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback23 pages $20.00 $16.00 20% Web Discount

Describes a regression model in which the variable (random) coefficients are structurally related. The model utilizes repeated measurement of economic units. In some cases, as in demand systems, the model may be used to test theoretical constraints at the level of the individual economic unit by testing the constraints on the joint distribution of parameters among units. In other cases, as in labor supply, the variable coefficients may themselves be interpreted as economic variables which follow a simultaneous equations scheme. Issues of identification and estimation are addressed briefly. Both maximum likelihood and generalized least squares procedures are developed.

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.

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.