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用宏观经济面板数据检验格罗斯曼医疗支出决定因素模型。

Testing the Grossman model of medical spending determinants with macroeconomic panel data.

机构信息

Faculty of Economics and Business Administration, Chemnitz University of Technology, Thüringer Weg 7, 09107, Chemnitz, Germany.

KOF Swiss Economic Institute, ETH Zurich, Zurich, Switzerland.

出版信息

Eur J Health Econ. 2018 Nov;19(8):1067-1086. doi: 10.1007/s10198-018-0958-2. Epub 2018 Feb 16.

Abstract

Michael Grossman's human capital model of the demand for health has been argued to be one of the major achievements in theoretical health economics. Attempts to test this model empirically have been sparse, however, and with mixed results. These attempts so far relied on using-mostly cross-sectional-micro data from household surveys. For the first time in the literature, we bring in macroeconomic panel data for 29 OECD countries over the period 1970-2010 to test the model. To check the robustness of the results for the determinants of medical spending identified by the model, we include additional covariates in an extreme bounds analysis (EBA) framework. The preferred model specifications (including the robust covariates) do not lend much empirical support to the Grossman model. This is in line with the mixed results of earlier studies.

摘要

迈克尔·格罗斯曼(Michael Grossman)的健康需求人力资本模型被认为是理论健康经济学的主要成就之一。然而,对该模型进行实证检验的尝试却很少,而且结果也不一致。这些尝试迄今为止主要依赖于使用来自家庭调查的横截面微观数据。本文首次在文献中引入了 29 个经合组织国家的宏观经济面板数据,以检验该模型。为了检验模型确定的医疗支出决定因素的结果的稳健性,我们在极值边界分析(EBA)框架中包含了其他协变量。首选的模型规范(包括稳健的协变量)并没有为格罗斯曼模型提供多少经验支持。这与早期研究的混合结果一致。

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