We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contains (potentially biased)...

This paper addresses a lack of evidence on the impact of performance pay in the public sector by evaluating a pilot scheme of incentives in a major government agency. The incentive scheme was based on teams and covered quantity and quality targets, measured with varying degrees of precision. We...

We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions...

A large literature uses parental evaluations of child health status to provide evidence on the socioeconomic determinants of health. If how parents perceive health questions differs by income or education level, then estimates of the socioeconomic gradient are likely to be biased and potentially...

Crime has been argued to have important externalities. We investigate the relationship between violent crime and an important type of behaviour: individuals' participation in their local area through walking and physical activity. We use a sample of nearly 1 million people residing in over 320...

Economists rely heavily on self-reported measures of health status to examine the relationship between income and health. In this paper we directly compare survey responses to a self-reported measure of health that is commonly available in nationally-representative individual and household...

Individuals with common mental disorders (CMDs) such as depression and anxiety frequently have co-occurring long-term physical health conditions (LTCs) and this co-occurrence is associated with higher hospital utilisation. Psychological treatment for CMDs may reduce healthcare utilisation...