Health inequality is an important cross-cutting theme in many areas of economics of population health, as well as an active research area in its own right. Gaps in health and access to health care arise from many factors, some of which can be amenable to policy intervention. Measuring health inequalities is an essential starting point to identifying potential interventions or policy levers to reduce gaps. 

Value judgements can play a major role in the measurement of health inequality. Different measures of inequality embody different judgements and can lead to very different results and conclusions, for example as to whether health inequalities are increasing or decreasing over time. This underscores the need for clarity on the values that underpin indexes used to measure health inequality. 

We are working on a wide range of inequality-related studies. Our methodological work includes designing and illuminating the properties of different measures; and exploring the potential for use of remote sensing data such as night-time lights to act as a proxy for socioeconomic status in health inequality measurement, especially in low- and middle-income countries.

We are also engaged in a wide range of empirical applications. These include measuring socio-economic inequalities in health care access and health outcomes; and improving diversity in clinical trial recruitment.