Dynamic Consistency of Multidimensional and Income Targeting: An Application for Mexico Using Panel Data Information
This paper compares the dynamic consistency of targeting methodologies that use multidimensional welfare indicators with those based on means and proxy means tests using panel data from Mexico. To make these comparisons, an extension of the Alkire and Foster (2008) dual cutoff multidimensional poverty methodology is proposed. This extension provides a relative approach to multidimensional deprivation that ranks individuals according to an aggregate of their relative position in the distribution of a set of welfare attributes or outcomes. The extension gives particular importance to deprivations that affect smaller portions of the population, as these deprivations are especially critical in defining relative multidimensional welfare. The findings, disaggregated by geographical area (urban and rural), suggest that taking into account deprivation in multiple dimensions may lead to more dynamically consistent measures of well-being and thus more dynamically consistent targeting algorithms.
|Date of creation:||Mar 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.iadb.org/res
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Luis Felipe López Calva & Eduardo Ortiz Juárez, 2009. "Medición multidimensional de la pobreza en México: significancia estadística en la inclusión de dimensiones no monetarias," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 0(Special i), pages 3-33.
When requesting a correction, please mention this item's handle: RePEc:idb:wpaper:4709. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Monica Bazan)
If references are entirely missing, you can add them using this form.