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首页> 外文期刊>Cost Effectiveness Resource Allocation >Global health worker salary estimates: an econometric analysis of global earnings data
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Global health worker salary estimates: an econometric analysis of global earnings data

机译：全球卫生工作者薪酬估计：对全球盈利数据的计量计量分析

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Human resources are consistently cited as a leading contributor to health care costs; however the availability of internationally comparable data on health worker earnings for all countries is a challenge for estimating the costs of health care services. This paper describes?an econometric model using cross sectional earnings data from the International Labour Organization (ILO) that the World Health Organizations (WHO)-Choosing Interventions that are Cost-effective programme?(CHOICE) has used to prepare estimates of health worker earnings (in 2010 USD) for all WHO member states. The ILO data contained 324 observations of earnings data across 4 skill levels for 193 countries. Using this data, along with the assumption that data were missing not at random, we used a Heckman two stage selection model to estimate earning data for each of the 4 skill levels for all WHO member states. It was possible to develop a prediction model for health worker earnings for all countries for which GDP data was available. Health worker earnings vary both within country due to skill level, as well as across countries. As a multiple of GDP per capita, earnings show a negative correlation with GDP-that is lower income countries pay their health workers relatively more than higher income countries. Limited data on health worker earnings is a limiting factor in estimating the costs of global health programmes. It is hoped that these estimates will support robust health care intervention costings and projections of resources needs over the Sustainable Development Goal period.
机译：人力资源一直被称为卫生保健成本的主要贡献者;然而，所有国家的卫生工作人员收入的国际可比数据的可用性是估计医疗保健服务费用的挑战。本文介绍了来自国际劳工组织（ILO）的横断面收益数据的计量计量模型，即世界卫生组织（WHO） - 复制的干预措施是具有成本效益的计划？（选择）习惯于准备卫生工作者收入的估计（2010年USD）适用于所有成员国。国际劳工组织数据包含324个在193个国家的4个技能水平的盈利数据观察。使用此数据，随着数据缺失的假设不随机缺失，我们使用了一个Heckman两个阶段选择模型来估计所有适用于所有世卫组织成员国的4技能水平的赚取数据。有可能为所有国家提供GDP数据的所有国家的卫生工作者收入开发预测模型。由于技能水平以及各国，卫生工作者盈利在国家内部都会有所不同。作为人均GDP的倍数，盈利显示与GDP的负相关 - 即较低的收入国家，其卫生工作者相对较高的收入国家。关于卫生工作者收益的有限数据是估计全球卫生计划成本的限制因素。希望这些估计值得支持稳健的保健干预试耗和对可持续发展目标期间的资源需求预测。

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