PhD Thesis Supplementary Materials: The effect of Health System, Health Risk factors and Health Service Coverage on Fertility, Morbidity and Mortality in HDI countries: An Econometric analysis
Description
This repository accompanies the doctoral thesis titled: "The Effect of Health System, Health Risk Factors and Health Service Coverage on Fertility, Morbidity and Mortality in HDI Countries: An Econometric Analysis." Given the complexity of the data and methodological procedures, key supplementary materials detailing the data sources, processing techniques, analytical scripts, and extended results are provided in the present Mendeley Data Repository. These materials are intended to promote transparency, reproducibility, and further research. The repository includes the following supplementary files: Supplementary File 1: Contains detailed information on all indicators used in the study, including those from the Global Reference List (GRL) and control variables. It specifies the definition, unit of measurement, data source, missing data proportions, inclusion status, and whether the indicator is positively or negatively associated with the outcome. Supplementary File 2: Provides the R script used to perform Multiple Imputation by Chained Equations (MICE) to handle missing data across indicators. Supplementary File 3: Describes the imputed dataset generated using the MICE method for both pre-COVID (2015–2019) and post-COVID (2020–2021) periods. Supplementary File 4: Contains the R script used to construct the composite and sub-indices for Health System, Health Risk Factors, Service Coverage, and Health Status. Supplementary File 5: Provides the R script used to compute Compound Annual Growth Rates (CAGR) for all indices and component indicators. Supplementary File 6: Includes the Stata Do-file used to run panel data regression models, estimating the impact of Health System, Health Risk Factors, and Service Coverage on fertility, morbidity, and mortality. Supplementary File 7: Contains the Stata Do-file used for conducting the Phillips and Sul Convergence Analysis to assess convergence/divergence trends among countries toward selected health-related SDG targets. Supplementary File 8: Provides descriptive statistics—including mean, standard deviation, and coefficient of variation—for selected health indicators across 100 HDI countries during the study period (2015–2021). Supplementary File 9: Presents the CAGR estimates of all constructed indices, separately reported for pre-COVID (2015–2019) and post-COVID (2020–2021) phases. Supplementary File 10: Provides the forecasted values for 57 indicators across 100 countries up to the year 2025, supporting the study’s predictive analysis.