Few papers examine the pecuniary and non-pecuniary determinants of doctors' labour supply despite substantial predicted shortages in many OECD countries. We contribute to the literature by applying both a structural discrete choice and a reduced-form approach. Using detailed survey data for...

This paper analyses doctors' supply of after-hours care, and how it is affected by personal and family circumstances as well as the earnings structure. We use detailed survey data from a large sample of Australian General Practitioners to estimate a structural, discrete-choice model of labour...

This paper investigates the factors influencing the allocation of time between public and private sectors by medical specialists. A discrete choice structural labour supply model is estimated, where specialists choose from a set of job packages that are characterised by the number of working...

We investigate the relationship among staff engagement, job complementarities and labour supply in the hospital sector, where excessive turnover of the clinical staff (doctors and nurses) can be detrimental for quality of care. We exploit a unique and rich panel dataset constructed by combining...

Many countries face a continuing shortage in nurses' labour supply. Previous research suggests that nurses respond only weakly to changes in wages. We estimate a multi-sector model of nursing qualification holders' labour supply in different occupations. A structural approach allows us to model...

While economic studies often assume that labor markets are in equilibrium, there may be specialized labor markets that are likely in disequilibrium. We develop a new methodology to improve the estimation of a reduced form disequilibrium model from the existing models by incorporating...

Excessive turnover can signicantly impair an organization's performance. Using high-quality administrative data and staggered dierence-in-dierences strategies, we evaluate the impact of a programme that encouraged public hospitals to increase staff retention by providing data and guidelines on...