Rachael Katwa Kyalo

// DISSERTATION PROJECT

Enhancing Precision in Small Area Estimation and Spatial Mapping of Disaggregated Poverty and Inequality Indices through Adaptive Thresholds: A case study in the Context of Kenya

In the landscape of developing countries, where a granular understanding of poverty dynamics holds paramount importance, the quest for precision in small area estimation (SAE) and spatial representation of poverty and inequality metrics assumes a pivotal role. This comprehensive study delves into refining precision in SAE and spatial mapping of poverty and inequality indices by incorporating adaptive thresholds, offering a nuanced exploration in the Kenyan context. The pressing need for disaggregated poverty statistics in developing nations underscores the significance of this research. Recognizing the disparities inherent in an urban-rural divide, the study acknowledges the importance of adaptive poverty thresholds, reflecting the diversity of conditions prevailing within these regions. This study compares methods like direct estimation, Empirical Best Prediction (EBP), EBP with Box-Cox transformation, and Mixed Effects Random Forest (MERF) through thorough simulations. The empirical proficiency is transposed onto real-world application, aligning the empirical framework with the specific circumstances of Kenya. Measures of uncertainty are explored for contrast across the range of estimators in the application context. Guided by the confidence of empirical precision, the research navigates its path to identifying optimal techniques for estimation of poverty statistics in Kenya and facilitates dynamic spatial visualization on the Kenyan map.

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// ACADEMIC BACKGROUND   

2022 - 2025
Doctor of Philosophy in Statistics. Otto-Friedrich-University, Bamberg - Germany

2019 - 2020
Master of Science in Mathematical Sciences. African Institute for Mathematical Science, Accra-Ghana

July 2020   
Certificate in Business Management. ESMT Berlin- Industry Immersion Program (IIP)

2013-2017
Bachelor of Science in Mathematics and Computer Science. Taita Taveta University, Kenya.

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// RESEARCH AND PUBLICATIONS

Wainana, S. M., Karomo, J. N., Kyalo, R., & Mutai, N. 2020. "Using data mining techniques and r software to analyze crime data in kenya." International Journal of Data Science and Analysis 6.1.

Traoré, P.C.S., Ndungu, S., Kyalo, R., Annerose, D., Whitbread, A., & Tabo, R. 2020. "Flipping the script on rainfall data." (ICRISAT). 

Working paper:

Traore, P.C.S., Kyalo,R.K., Ndung’u, S., Akinrotimi, O.O., Whitbread, A.M., Tabo, R., 2020. ”One farm, one IoT rain gauge” concept: theoretical basis for dense, good-enough rain gauge networks. CCAFS Working Paper no. XXX. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Available online at: www.ccafs.cgiar.org.

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// EXPERIENCE

2021 - 2022 
Contract: Monitoring and Evaluation, Statistics for Suitainable Development (Stats4SD).

2021 - 2022          
Tutorial fellow, Taita Taveta University, Kenya.

2021 - 2022        
Data Processing Officer (intern), DALBERG RESEARCH, Nairobi-Kenya.

2020 - 2020  
Data Research Analyst, MANOBI AFRICA, Dakar-Senegal.

2020 - 2021            
Research Analyst Intern, ICRISAT


 

Image Credits: ? Bamberg Graduate School of Social Sciences