Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Parkville, Victoria, Australia.
Health Econ. 2012 Apr;21(4):444-56. doi: 10.1002/hec.1720. Epub 2011 Mar 7.
This paper applies latent-class multinomial logit models to the choice of hospital for cataract operations in the UK NHS. We concentrate on the effects of travel time and waiting time and especially on estimating the waiting time elasticity of demand. Models including hospital fixed effects rely on changes over time in waiting time to indentify coefficients. We show how using a latent-class multinomial logit model characterises the unobserved heterogeneity in GP practices' choice behaviour and affects the estimated elasticities of travel time and waiting time. The models estimate waiting time elasticities of demand of approximately -0.1, comparable with previous waiting time-demand models. For the average waiting time elasticity, the simple multinomial logit models are good approximations of the latent-class logit results.
本文应用潜在类别多项逻辑回归模型研究了英国国民保健制度中白内障手术的医院选择问题。我们专注于旅行时间和等待时间的影响，特别是估计需求的等待时间弹性。包括医院固定效应的模型依赖于等待时间随时间的变化来识别系数。我们展示了如何使用潜在类别多项逻辑回归模型来描述 GP 实践选择行为的未观察到的异质性，并影响旅行时间和等待时间的估计弹性。这些模型估计需求的等待时间弹性约为-0.1，与之前的等待时间需求模型相当。对于平均等待时间弹性，简单多项逻辑回归模型是潜在类别逻辑回归结果的良好近似。
