Influence functions for distributional statistics
B. Essama-Nssah and
Peter J. Lambert ()
Additional contact information
B. Essama-Nssah: World Bank Group
Peter J. Lambert: University of Oregon
No 236, Working Papers from ECINEQ, Society for the Study of Economic Inequality
Abstract:
Social evaluation functions used in policy impact analysis can be viewed as real-valued functionals of the underlying outcome distributions. Influence functions may be used to identify the sources of variation in social outcomes in terms of individual or household characteristics. This paper sets forth in clear terms the definition of the influence function and recentered influence function, and catalogs these functions for a wide range of distributional statistics, including measures of central tendency, inequality and poverty and also measures of the degree of pro-poorness of a shock- or policy-induced change in income levels.
Keywords: Influence function; robust statistic; distributional statistic; inequality; poverty; social evaluation. (search for similar items in EconPapers)
JEL-codes: C18 C54 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.ecineq.org/milano/WP/ECINEQ2011-236.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inq:inqwps:ecineq2011-236
Access Statistics for this paper
More papers in Working Papers from ECINEQ, Society for the Study of Economic Inequality Contact information at EDIRC.
Bibliographic data for series maintained by Maria Ana Lugo ( this e-mail address is bad, please contact ).