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This discussion highlights the importance of integrating a child rights perspective in poverty and social impact analysis. It provides a comprehensive review of Poverty and Social Impact Analyses (PSIAs) and offers concrete recommendations for incorporating a Child Rights Impact Assessment (CRIA). The presentation examines short-term vs. long-term impacts, households' response to policies, and the gap between data demand and supply. It also discusses the cost and benefit of extensive data collection and suggests ways to mitigate the challenges faced in integrating child rights in poverty analysis.
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Discussion on Integrating a Child Rights Perspective in Poverty and Social Impact Analysis February 19th, 2010, New York Namsuk Kim Office of Development Studies UNDP The views expressed in this presentation are those of the authors and do not necessarily reflect those of UNDP. Event Date United Nations Development Programme *The views expressed are those of the author and do not necessarily reflect those of the organization with which he/she is affiliated. Please send comments to nameofauthor@undp.org
Contribution • Comprehensive review of PSIAs • Clear description of CRIA • Concrete recommendations
Comments on the framework • Short term vs Long term impacts • Short term gains vs Long term losses • Households’ response to policies
Comments on the data • ‘Child Lens’: Wider screen or higher resolution? • Severe gap between data demand and supply • Cost and benefit of extensive questions
Average lag in survey data availability for the latest reference year by region Source: Chen and Ravallion (2008, Table 2).
Updating Frequency of Poverty Incidences and Counts in Selected Developing Countries Source: UN (2006, Chapter 4, p.106).
Data is more costly in developing countries • The cost per sampling unit of LSMS • $146 in Vietnam • $698 in Brazil • United States Population Census cost only $16 per person Source: Grosh and Muñoz (1996, p.188) and Gauthier, 2002, p. A-1.
Comments on the suggestions • Households’ adaptations • Households’ response to policies/shocks • World Bank’s incentive
Summary • Framework: explicitly integrate Long term and short term impacts/behaviors • Data: Systematic bias, cost/benefit consideration • Suggestions: Mitigation and adaptations of households, Stakeholders’ response