Person:
Dhongde, Shatakshee

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Publication Search Results

Now showing 1 - 6 of 6
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    Development Economics Consortium
    ( 2019-04-26) Brummund, Peter ; Dhongde, Shatakshee ; Del Valle, Alejandro ; Filipski, Mateusz ; Liu, Xuepeng ; Magnan, Nicholas ; Moyano, Paloma ; O'Connell, Stephen ; Roy, Abhra ; Taylor, Laura ; Viceisza, Angelino ; Zimmermann, Laura
    This session will highlight frontiers of research in the area of development economics. The session will include research presentations on a wide range of topics, covering both micro and macro perspectives of development. This is the first time scholars who are actively conducting research in development economics, will come together in the hope of forming a professional network to enhance collaboration among higher educational institutes in Atlanta and nearby areas.
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    Liam's Legacy: Sustainable Development Goals
    ( 2017-10-26) Dhongde, Shatakshee ; Espey, Jessica ; Kumar, Neha ; Newhall, Serena ; Shafiei, Fatemeh
    In 2015, after a 4-year negotiation process, 193 United Nations member countries agreed upon a new global framework for development that included 17 Sustainable Development Goals. The “SDGs” span nearly every developmental issue facing the world, from climate change to poverty to sustainable production and consumption. They are as relevant in the United States as they are in places like Somalia. The ambition of this universal agenda is to shepherd the whole world towards a more sustainable, equitable and prosperous future, where no one is left behind. Join guest speaker Jessica Espey, who was a lead negotiator in the SDG process, as she reflects on the negotiation process and shares insights into SDG implementation in diverse locations around the world. Jessica Espey is a Senior Advisor to the United Nations Sustainable Development Solutions Network (SDSN), responsible for directing SDSN’s work on data, monitoring and accountability for the SDGs. She also manages much of SDSN’s work on sustainable cities. Current projects focus on data collection and management for SDG measurement. Espey also serves as official liaison for the Scientific Steering Committee of the IPCC Conference on Cities and Climate Change. Jessica holds a Bachelor of Arts degree with Honours in Modern History from the University of Oxford and a Master of Sciences degree in the Political Economy of Development from the School of Oriental and African Studies, University of London. Over the past 12 years she has lived and worked in Liberia, Kenya, Rwanda, the UK and the US. She has particular expertise in the study of inequality, age and gender discrimination, as well as data systems for sustainable development.
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    Technology, Development Economics, and Human Rights
    ( 2014-10-03) Dhongde, Shatakshee ; Kosal, Margaret E. ; Shemyakina, Olga
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    Poverty, Inequality, and Development
    (Georgia Institute of Technology, 2013-09-06) Bowman, Kirk ; Best, Michael L. ; Shemyakina, Olga ; Dhongde, Shatakshee ; Boston, Danny
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    Measuring Segregation of the Poor
    ( 2012-01) Dhongde, Shatakshee
    In this paper I propose a poverty segregation curve to measure inequality in the distribution of the poor. Axioms of relative income inequality are reformulated for the poverty segregation curve and a generalized segregation curve is proposed. The segregation analysis is applied to study regional concentration of the poor in India in the last two decades. Various measures of segregation indicate that although poverty has declined over a period of time in almost all regions, there is a significant increase in the segregation of the poor in some regions in India.
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    Global Poverty Estimates: A Sensitivity Analysis
    ( 2011-11) Dhongde, Shatakshee ; Minoiu, Camelia
    Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.