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Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects
The Annals of Regional Science ( IF 1.709 ) Pub Date : 2021-01-07 , DOI: 10.1007/s00168-020-01043-w
Xu Lin , Lizi Wu

Understanding the pricing and operation mechanism of community mental health (CMH) providers is important for designing effective health care policies as the CMH system has been playing an essential role in providing mental health services. This paper studies the delivery of community-based mental health care and interdependence among CMH providers by investigating the pricing patterns of CMH providers in the Detroit-Wayne County of Michigan. We employ a spatial dynamic panel data model with interactive fixed effects to identify the strategic interactions among the providers, along both dimensions of time-series and cross-section spatial variations. We find evidence for significant spatial interdependence among the CMH providers, even after controlling for the interactive fixed effects. In contrast, the coefficient on the spatial-dynamic term is insignificant, suggesting that no time-space simultaneous effects exist. We also find the pure dynamic effect to be positive and significant. These findings provide important implications for mental health care policy and practice decisions.



中文翻译:

精神卫生保健提供者之间的相互依赖性:来自具有互动固定效应的空间动态面板数据模型的证据

了解社区精神卫生(CMH)提供者的定价和运作机制对于设计有效的卫生保健政策非常重要,因为CMH系统在提供精神卫生服务中一直发挥着至关重要的作用。本文通过调查密歇根州底特律-韦恩县的CMH提供者的定价模式,研究了基于社区的精神卫生保健的提供和CMH提供者之间的相互依赖性。我们采用具有互动固定效应的空间动态面板数据模型来确定供应商之间的战略互动,包括时间序列和横截面空间变化的维度。我们发现,即使在控制了交互式固定效果之后,CMH提供者之间仍存在显着的空间相互依赖性的证据。相反,空间动力项的系数微不足道,表明不存在时空同时效应。我们还发现纯动态效果是积极而显着的。这些发现为精神卫生保健政策和实践决策提供了重要的启示。

更新日期:2021-01-08
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