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Associate Professor
Name: Yegnanew Shiferaw
Location: C-Ring 533A Auckland Park Kingsway Campus
Department of Statistics Staff Staff Members
Contact Details:
Tel: +27 (0) 11 559 3024
Email: yegnanews@uj.ac.za
About Professor Yegnanew Shiferaw
Research Interests
Prof Yegnanew A. Shiferaw’s current research focuses on small-area estimation methods, which are crucial for effective policymaking, particularly in the context of achieving the Sustainable Development Goals. Additionally, he is working on a financial time series with a specific emphasis on modeling volatility, measuring value-at-risk, and analyzing correlation dynamics. Recently, he has also expanded his research interests to include machine learning and its various applications.
Recent Publications
1. Shiferaw Y.A. (2024). A spatial analysis of the digital gender gap in South Africa: Are there any fundamental differences? Technological Forecasting & Social Change 204: 123443. https://doi.org/10.1016/j.techfore.2024.123443
2. Shiferaw Y.A., Yilema, S.A. & Moyehodie, Y.A. (2024). A Hierarchical Bayesian approach to small area estimation of health insurance coverage in Ethiopian administrative zones for better policies and programs. Health Economics Review 14, 29. https://doi.org/10.1186/s13561-024-00498-3
3. Jaiteh, M.; Phalane, E.; Shiferaw Y.A.; Voet, K.A.; Phaswana-Mafuya, R.N. (2024). Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review. Algorithms, 17, 362. https://doi.org/10.3390/a17080362
4. Yilema, S.A., Shiferaw Y.A., Belay, A.T. et al. (2024). Mapping the spatial disparities of HIV prevalence in Ethiopian zones using the generalized additive model. Scientific Reports 14, 6215. https://doi.org/10.1038/s41598-024-55850-8
5. Shiferaw Y.A. (2023). Mapping Disaggregate-Level Agricultural Households in South Africa Using a Hierarchical Bayes Small Area Estimation Approach. Agriculture, 13(3), 631; https://doi.org/10.3390/agriculture13030631
6. Shiferaw Y.A. (2023). An Understanding of How GDP, Unemployment, and Inflation Interact and Change Across Time and Frequency. Economies, 11(5), 131; https://doi.org/10.3390/economies11050131
7. Shiferaw Y.A. (2023). An analysis of East African tea crop prices using the MCMC approach to estimate volatility and forecast the in-sample value-at-risk. Scientific African 19: e01442.
8. Tesfamichael, S.G., Shiferaw Y.A. and Woldai T. (2023). Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data. European Journal of Remote Sensing VOL. 56, NO. 1, 2246638 https://doi.org/10.1080/22797254.2023.2246638
9. Yilema SA, Shiferaw Y.A., Zewotir T and Muluneh EK (2022). Spatial small area estimates of undernutrition for under five children in Ethiopia via combining survey and census data. Spatial and Spatio-temporal Epidemiology; 42: 100509.
10. Yilema SA, Shiferaw Y.A., Zewotir T and Muluneh EK (2022). Multivariate small area estimation of undernutrition for children under five using official statistics. Statistical Journal of the IAOS, vol. 38, no. 2, pp. 625 – 636.
11. Sharthi L. and Shiferaw Y.A. (2022). A model-based estimation and mapping of school-age children living in poverty in the local areas of South Africa. Statistical Journal of the IAOS, 38: 1289 – 1301. DOI: 10.3233/SJI-220926
12. Shiferaw Y.A. (2021). Regime shifts in the COVID-19 case fatality rate dynamics: A Markov-switching autoregressive model analysis. Chaos, Solitons & Fractals: X 6 (2021) 100059.
13. Shiferaw Y.A. (2020). Analysis of the spatial distribution of under-5 mortality rate in local areas of South Africa. Statistical Journal of the IAOS 36: 1161-1173. DOI 10.3233/SJI-200650.
14. Shiferaw Y.A. (2020). Model-based estimation of small area food insecurity measures in Ethiopia using the Fay-Herriot EBLUP estimator. Statistical Journal of the IAOS 36: S177-S187. DOI 10.3233/SJI-200673
15. Shiferaw Y.A. & Galpin J. (2020). Comparison of mean squared error estimators under the Fay-Herriot model: application to poverty and percentage of food expenditure data. Hacettepe Journal of Mathematics & Statistics. 49 (1): 439 – 457.