Forecasting Under Five Mortality Rate for Mexico Using an Artificial Intelligence Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 378-381

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607081

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Mexico from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality rate. ANN model projections revealed that U5MR will continue to decline throughout the out of sample period. Therefore, we implore the Mexican government to design local strategies that will keep under five mortality under control. 

Keywords

ANN, Forecasting, U5MR.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Under Five Mortality Rate for Mexico Using an Artificial Intelligence Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 378-381, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607081

References
  1. Box, D. E., and Jenkins, G. M. (1970). Time Series Analysis, Forecasting and Control, Holden Day, London.
  2. Nyoni, T. (2018). Box-Jenkins ARIMA Approach to Predicting net FDI Inflows in Zimbabwe, University Library of Munich, MPRA Paper No. 87737.
  3. Salvatore D and Reagle (2001). Theory and Problems of STATISTICS AND ECO NOM ETRICS, SECOND EDITION. pp 242-248.
  4. Gujarat D. N and Porter D (2008). Basic Econometrics, 5th Edition, pp 673-775.