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Who remained in poverty, who moved up, and who fell down ? an investigation of poverty dynamics in Senegal in the late 2000s

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  • Dang,Hai-Anh H.
  • Lanjouw,Peter F.
  • Swinkels,Robertus A
  • Dang,Hai-Anh H.
  • Lanjouw,Peter F.
  • Swinkels,Robertus A

Abstract

Poverty estimates based on cross-section data provide static snapshots of poverty rates. Although a time series of cross-section data can offer some insights into poverty trends, it does not allow for an assessment of dynamics at the household level. Such a dynamic perspective on poverty generally calls for panel data and this kind of analysis can usefully inform poverty reduction policy, notably the design of social protection interventions. Absent actual panel data for Senegal, this paper applies new statistical methods to construct synthetic panel data from two rounds of cross-section household surveys in 2005 and 2011. These data are used to study poverty transitions. The results suggest that, in marked contrast to the picture obtained from cross-section data, there exists a great deal of mobility in and out of poverty during this period. More than half the population experiences changes in its poverty status and more than two-thirds of the extreme (food) poor move up one or two welfare categories. Factors such as rural residence, disability, exposure to some kind of natural disaster, and informality in the labor market are associated with a heightened risk of falling into poverty. Belonging to certain ethnicities and factors such as migration, working in the non-agriculture sector, and having access to social capital are associated with a lower risk of falling into poverty.

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  • Dang,Hai-Anh H. & Lanjouw,Peter F. & Swinkels,Robertus A & Dang,Hai-Anh H. & Lanjouw,Peter F. & Swinkels,Robertus A, 2014. "Who remained in poverty, who moved up, and who fell down ? an investigation of poverty dynamics in Senegal in the late 2000s," Policy Research Working Paper Series 7141, The World Bank.
  • Handle: RePEc:wbk:wbrwps:7141
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    1. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
    2. Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
    3. Alvina Erman & Elliot Motte & Radhika Goyal & Akosua Asare & Shinya Takamatsu & Xiaomeng Chen & Silvia Malgioglio & Alexander Skinner & Nobuo Yoshida & Stephane Hallegatte, 2020. "The Road to Recovery the Role of Poverty in the Exposure, Vulnerability and Resilience to Floods in Accra," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 171-193, April.
    4. Rodrigo Carrillo Valles & Patricia Lopez Rodriguez & Isidro Soloaga, 2020. "Dinamicas de pobreza en Mexico, 2008-2018," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 17(2), pages 7-32, Julio-Dic.
    5. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    6. Stéphane Hallegatte & Adrien Vogt-Schilb & Julie Rozenberg & Mook Bangalore & Chloé Beaudet, 2020. "From Poverty to Disaster and Back: a Review of the Literature," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 223-247, April.
    7. Paul S. F. Yip & Chenhong Peng & Ho Kit Wong & Bing Kwan So, 2020. "Social Welfare Transfers and Poverty Transitions in Hong Kong: Evidence from Two-Wave Panel Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 841-864, October.

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