EVALUATION OF VARIANCE ESTIMATORS FOR THE CONCENTRATION AND HEALTH ACHIEVEMENT INDICES: A MONTE CARLO SIMULATION

Zhuo Chen, Kakoli Roy and Carol A. Gotway Crawford

Health Economics, 2012, vol. 21, issue 11, 1375-1381

Abstract: Although the concentration index (CI) and the health achievement index (HAI) have been extensively used, previous studies have relied on bootstrapping to compute the variance of the HAI, whereas competing variance estimators exist for the CI. This paper provides methods of statistical inference for the HAI and compares the available variance estimators for both the CI and the HAI using Monte Carlo simulation. Results for both the CI and the HAI suggest that analytical methods and bootstrapping are well behaved. The convenient regression method gives standard errors close to the other methods, provided the CI is not too large ( 0.1. Published 2011. This article is a US Government work and is in the public domain in the USA.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:21:y:2012:i:11:p:1375-1381

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