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Efficiency Simulation of Health Production in Low- to Middle-Income Countries

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General Info
Provider 
Institute for Health Metrics and Evaluation (IHME)
Time period covered 
01/2016 - 01/2016
Data type
Summary 

As part of a study to analyze the measurement of health service provision in low- and middle-income countries (LMICs), IHME researchers developed a simulation environment which reproduces the characteristics of health service production in LMICs, and evaluated the performance of Data Envelopment Analysis (DEA) and Stochastic Distance Function (SDF) for assessing efficiency. The attached archive contains the code used in this study, which is described in the following publication:

Di Giorgio L, Flaxman AD, Moses MW, Fullman N, Hanlon M, Conner RO, Wollum A, Murray CJL. Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model. PLoS ONE 11(1): e0147261. doi:10.1371/journal.pone.0147261.

Citation
Publication year 
2016
Suggested citation 
Institute for Health Metrics and Evaluation (IHME). Efficiency Simulation of Health Production in Low- to Middle-Income Countries. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2016.