Non-Hierarchical Bivariate Decomposition of Theil Indexes

This paper develops a method to conduct non-hierarchical bivariate decomposition of Theil indexes. The method has the merits that, first, it treats all variates symmetrically and therefore facilitates the comparison of inequalities associated with different variates; and, second, it highlights the interaction between variates in the creation of inequality. The method is applied to measure gender and ethnic income inequality in Australia.

A Rethink on Measuring Health Inequalities Using the Gini Coefficient

Objective- We show that a standardized Gini coefficient that takes into account the feasible range of health inequality for a given health attribute is a better instrument than the normal Gini coefficient for quantifying inter-individual health inequality. Methods- The standardized Gini coefficient is equal to the normal Gini coefficient divided by the maximal attainable Gini coefficient, which is computed based on the maximal level of a health attribute an individual could achieve. Both the old and new coefficients are used to estimate the lifespan inequality of 185 countries for year 1990, 2000 and 2006, respectively. The results are then compared both across countries and over time. Findings- Firstly, the standardized Gini coefficient can still be related to the Lorenz curve. Secondly, changes in standardized Gini coefficients can be decomposed into respectively the change in the distribution of health outcomes and the change in the average health outcomes. Thirdly, the standardized Gini coefficient provides richer information and often gives different conclusions regarding health inequality in individual countries as well as country ranking, as compared to the normal Gini coefficient. Conclusion- Accounting for the maximal level of health attribute an individual could achieve is important when measuring health inequality. The proposed standardized Gini coefficient can provide more accurate information regarding the actual level of health inequality in a society than the normal Gini coefficient

Dundee Discussion Papers in Economics 214:Longitudinal analysis of income-related health inequality

This paper considers the characterisation and measurement of income-related health inequality using longitudinal data. The paper elucidates the nature of the Jones and Lopez Nicholas (2004) index of “health-related income mobility” and explains the negative values of the index that have been reported in all the empirical applications to date. The paper further questions the value of their index to health policymakers and proposes an alternative index of “income-related health mobility” that measures whether the pattern of health changes is biased in favour of those with initially high or low incomes. We illustrate our work by investigating mobility in the General Health Questionnaire measure of psychological well-being over the first nine waves of the British Household Panel Survey from 1991 to 1999

A Value-Added Based Measure of Health System Output and Estimating the Efficiency of OECD Health Systems

Life expectancy at birth is the most commonly used measure for health system output. However, there are a number of reasons why it may be a poor proxy. First, life expectancy assumes a stationary population and thus does not take into account the current demographic structure of a country; and second, the output of a health system should be measured in terms of the value-added to the population’s health status rather than health status itself. The paper develops a new measure of health system output, the Incremental Life Years to address these problems. The new measure is applied to study health system output, efficiency and total factor productivity in OECD countries for the years 2000 and 2004. The new measure provides different results compared to those based on the traditional life expectancy measure, and the differences are further accentuated when changes in efficiency and productivity are estimated.