TY  - BOOK
AU  - Manning,Willard G.
AU  - Newhouse,Joseph P.
AU  - Ware,John E.
ED  - Rand Corporation.
ED  - United States.
TI  - The status of health in demand estimation: beyond excellent, good, fair, and poor 
T2  - Health insurance experiment series
SN  - 0833002929
AV  - RA408.5 .M3 1981
PY  - 1981///
CY  - Santa Monica, CA
PB  - RAND
KW  - Health status indicators
KW  - Health surveys
KW  - Medical care
KW  - Utilization
N1  - "August 1981."; Includes bibliographical references (p. 59-62); Also available on the internet via WWW in PDF format
N2  - This study addresses two issues.  (1) What can one gain by using more comprehensive measures of health status in demand estimation than a common single item measure?  Would you rate your health as excellent, good, fair, or poor?  The authors find that by using multidimensional and less-coarse health status measures they achieve an increase in precision approximately equivalent to a 10 percent increase in sample size.  (2) What is the consequence of employing postdiction (i.e., predicting utilization from health status measured after the fact) rather than prediction?  Using a simple, but plausible, model, the authors show that such measures cause the estimates to be inconsistent; the direction of the inconsistency generally cannot be signed a priori.  Empirically the direction is generally away from zero
UR  - http://www.rand.org/pubs/reports/R2696-1/
ER  -