Improving Targeting of Conditional Cash Transfer Programs: Through Posterior Simulation and Multilevel Modeling - Couverture souple

Mizunoya, Suguru

 
9783846548608: Improving Targeting of Conditional Cash Transfer Programs: Through Posterior Simulation and Multilevel Modeling
Couverture souple
ISBN 10 : 384654860X ISBN 13 : 9783846548608
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Conditional Cash Transfer (CCT) programs are a recent and popular approach in developing countries to improve health and education prospects of poor families through conditional financial incentives. However, due to sub-optimal transfers and administrative difficulties in identifying needy families, many CCT programs suffer from incomplete coverage of needy families and/or low financial efficiencies. De Janvry and Sadoulet (2003) have shown that their targeting method (the DJS method), which uses binary regression models to identify needy families and optimal transfer amounts, can effectively overcome these problems. This dissertation tackles two issues encountered in implementing the DJS method: the need for an appropriate methodology to compare binary models, and the need to develop binary models with high external validity. For targeting of CCT programs, binary models need to be analyzed comprehensively beyond the overall goodness-of-fit. For example, policy makers may need to know the rates of false positive and false negative predictions of various models and choose the most appropriate model for given policy priorities.

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Présentation de l'éditeur

Conditional Cash Transfer (CCT) programs are a recent and popular approach in developing countries to improve health and education prospects of poor families through conditional financial incentives. However, due to sub-optimal transfers and administrative difficulties in identifying needy families, many CCT programs suffer from incomplete coverage of needy families and/or low financial efficiencies. De Janvry and Sadoulet (2003) have shown that their targeting method (the DJS method), which uses binary regression models to identify needy families and optimal transfer amounts, can effectively overcome these problems. This dissertation tackles two issues encountered in implementing the DJS method: the need for an appropriate methodology to compare binary models, and the need to develop binary models with high external validity. For targeting of CCT programs, binary models need to be analyzed comprehensively beyond the overall goodness-of-fit. For example, policy makers may need to know the rates of false positive and false negative predictions of various models and choose the most appropriate model for given policy priorities.

Biographie de l'auteur

Dr. Suguru Mizunoya has been worked for various international organisations including the World Bank, the UNICEF, the ILO focusing on the economic and financial analysis of social policies including education, social protection, and social security. Currently, he is the Chief of the Education and Young People Section of UNICEF Kenya.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384654860X
ISBN 13 
9783846548608
Reliure
Broché
Nombre de pages
232
Coordonnées du fabricant
non disponible
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