Discussion on Integrating a Child Rights Perspective in Poverty and Social Impact Analysis Event Date United Nations Development Programme *The views expressed.

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Discussion on Integrating a Child Rights Perspective in Poverty and Social Impact Analysis 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 February 19 th, 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.

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 FrequencyCountries YearlyChina and Indonesia Every 2 yearsThailand and Iran Every 3 yearsJordan, Mongolia, and Philippines Every 5 yearsIndia, Malaysia, Sri Lanka, and Vietnam Irregular, depending on funds availability Bangladesh, Cambodia, Laos, Fiji, and the Central Asian Republics Not yet measuring poverty 16 of 79 countries that responded to the UNSD 2004 survey 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