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JavaScript package implementation of the the Government Revenue And Development Estimators Determinants Of Health (GRADE-DOH) economic model.
The underlying research is documented in the following publications:
- Stephen Hall, Marisol Lopez, Stuart Murray & Bernadette O’Hare (2022) Government revenue, quality of governance and child and maternal survival, Applied Economics Letters, 29:16, 1541-1546. DOI: 10.1080/13504851.2021.1963408
- O'Hare BA-M, Hall S. The Impact of Government Revenue on the Achievement of the Sustainable Development Goals and the Amplification Potential of Good Governance. Cent Eur J Econ Model Econom 2022;14:109–29. DOI: 10.24425/cejeme.2022.142627
- Hall, S., & O’Hare, B. (2023). A model to explain the impact of government revenue on the quality of governance and the SDGs. Economies, 11(4), 108.DOI: https://doi.org/10.3390/economies11040108
- Hall, S. G., & O’Hare, B. (2024). A model of the impact of government revenue and quality of governance on schooling. International Journal of Educational Development, 108, 103055. DOI:https://doi.org/10.1016/j.ijedudev.2024.103055
This package implements the core economic model only; it must be provided with input data.
The Government Revenue and Determinants of Health model (GRADE) provides a precise and realistic model of the relationship between government revenue and Sustainable Development Goals (SDGs).
The GRADE Model translates the impact of additional revenue into potential SDG progress – for example, to quantify the POSITIVE impact of a large taxpayer or the NEGATIVE impact of tax abuse.
See the API documentation.
This repository includes a suite of unit tests created using Jest; run the tests using npm test. Coverage results are reported above.
Several tests refer to various validation spreadsheets, which are to be found in test/assets.
Suitable data is provided by the GRADE-DOH-data package.