STEM vs Arts in Socio-Economic Wellness of Nations
Description
The dataset in this study focuses on the burden of mental health illness, specifically anxiety and depression, across 149 countries over a 26-year period. The research combines national-level data on mental health prevalence (NAP) sourced from the World Health Organization (WHO), which tracks global mental illness data. To analyze the potential drivers of mental health outcomes, the study includes independent variables related to knowledge creation and transfer, such as publication data from Clarivate's Journal Citation Report on science, technology, engineering, mathematics, arts, and humanities. Additionally, it incorporates control variables from organizations like SIPRI, the World Bank, and the Heritage Foundation, which provide macro-level data on population size, economic freedom, internet penetration, R&D investment, political corruption, military spending, economic status, and literacy rates. The dataset, which integrates these variables, helps reduce the limitations found in previous studies regarding sample selection and regional focus, offering a comprehensive framework for understanding the complex relationships between mental health and societal factors.
Files
Steps to reproduce
Variables are already prepsured; Dataset is a panel one; Stata is used; Mixed models are used