Person: Radyakin, Sergiy
Development Data Group
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Poverty and inequality, Family economics, Labor economics, Computational tools
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Development Data Group
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Last updated: January 31, 2023
Biography
Sergiy Radyakin is an economist in the World Bank's Development Data Group. His research interests include new technology, automation and reproducible research. He is creating computational tools for applied economic analyses based on survey data, primarily in the field of poverty and inequality analysis, statistical modeling and simulation, data management and visualization. He is an active developer of the ADePT software, a co-author of books on its use, and a facilitator of training sessions.
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Now showing 1 - 5 of 5
Publication Simulating Distributional Impacts of Macro-dynamics : Theory and Practical Applications(World Bank Group, Washington, DC, 2014-09-23) Kolenikov, Stainslav; Olivieri, Sergio; Radyakin, Sergiy; Lokshin, Michael; Narayan, Ambar; Sánchez-Páramo, CarolinaSimulating Distributional Impacts of Macro-dynamics: Theory and Practical Applications is a comprehensive guide for analyzing and understanding the effects of macroeconomic shocks on income and consumption distribution, as well as using the ADePT Simulation Module. Since real-time micro data is rarely available, the Simulation Module (part of the ADePT economic analysis software) takes advantage of historical household surveys to estimate how current or proposed macro changes might impact household and individuals welfare. Using examples from different economic and social contexts, the book explains macro-micro linkages in an easy and intuitive way. After developing a sound theoretical foundation, readers are then shown how to explore their own scenarios using the Simulation Module. Step-by-step instructions illustrate data entry and show how to make adjustments using the Module’s options. Exercises present how different sections of the simulation process operate independently. This book will be a valuable reference for analysts needing to evaluate the potential impact of structural reforms and to generate projections for hypothetical scenarios. Results created by the Simulation Module will be helpful in informing governmental policymaking.Publication Assessing Sector Performance and Inequality in Education : Streamlined Analysis with ADePT Software(World Bank, 2011-06-30) Porta, Emilio; Arcia, Gustavo; Macdonald, Kevin; Radyakin, Sergiy; Lokshin, MichaelThis book gathers in one volume all the information related to Automated DEC [Development Economics - Vice Presidency at the World Bank] Poverty Tables (ADePT) Edu, the software platform created by the World Bank for reporting and analyzing education indicators and education inequality. It includes a primer on the availability of education data, an operating manual for using the ADePT software, a technical explanation of all the education indicators ADePT generates, and an overview of global education inequality using ADePT Edu. Chapter one is an introduction to ADePT Edu. It describes its origin and intended use and familiarizes readers with educational statistics. Chapter two is intended for users unfamiliar with the different datasets that contain education statistics and household-level data that contain information on education. Chapter three is a step-by-step technical guide for potential users. In addition to identifying the hardware and operating system requirements, it provides graphic examples of each of the steps needed to install and operate the software. Chapter four describes the outputs of ADePT and the definitions of all the indicators it generates. Chapter five provides a global and regional overview of education inequality, using ADePT Edu outputs obtained from household survey data. It analyzes inequality in school participation, progression, and attainment. Chapter 5 also illustrates how ADePT Edu can be used to readily analyze data from any household survey, a feature that makes this software unique. The analysis of education inequality serves as a backdrop for the potential use of household surveys for analyzing the demand side of education.Publication Tall Claims : Mortality Selection and the Height of Children(2011-10-01) Alderman, Harold; Lokshin, Michael; Radyakin, SergiyData from three rounds of nationally representative health surveys in India are used to assess the impact of selective mortality on children s anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children or on that status distinguished by gender.Publication Month of Birth and Children’s Health in India(2009-01-01) Lokshin, Michael; Radyakin, SergiyThe authors use data from three waves of the India National Family Health Survey to explore the relationship between the month of birth and the health outcomes of young children in India. They find that children born during the monsoon months have lower anthropometric scores compared with children born during the fall and winter months. The authors propose and test four hypotheses that could explain such a correlation. The results emphasize the importance of seasonal variations in affecting environmental conditions at the time of birth and determining the health outcomes of young children in India. Policy interventions that affect these conditions could effectively impact the health and achievement of these children, in a manner similar to nutrition and micronutrient supplementation programs.Publication Tall Claims : Mortality Selection and the Height of Children in India(2011) Alderman, H.; Lokshin, M.; Radyakin, S.Data from three rounds of nationally representative health surveys in India (1992/93, 1998/99 and 2005/06) are used to assess the impact of selective mortality on children's anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children stratified by gender.