ONE SIZE DOES NOT FIT ALL: INVESTIGATING DOCTORS' STATED PREFERENCE HETEROGENEITY FOR JOB INCENTIVES TO INFORM POLICY IN THAILAND
通过离散选择实验调查198名泰国年轻医生的工作偏好异质性，发现农村背景医生对45%加薪和靠近家乡的岗位更敏感，但对减少夜班不敏感，为制定农村留人政策提供依据。
This study investigates heterogeneity in Thai doctors' job preferences at the beginning of their career, with a view to inform the design of effective policies to retain them in rural areas. A discrete choice experiment was designed and administered to 198 young doctors. We analysed the data using several specifications of a random parameter model to account for various sources of preference heterogeneity. By modelling preference heterogeneity, we showed how sensitivity to different incentives varied in different sections of the population. In particular, doctors from rural backgrounds were more sensitive than others to a 45% salary increase and having a post near their home province, but they were less sensitive to a reduction in the number of on-call nights. On the basis of the model results, the effects of two types of interventions were simulated: introducing various incentives and modifying the population structure. The results of the simulations provide multiple elements for consideration for policy-makers interested in designing effective interventions. They also underline the interest of modelling preference heterogeneity carefully.