Nonparametric estimation of a compensating variation: the cost of disability
Stephen Pudney,
Ruth Hancock and
Marcello Morciano
No 2013-26, ISER Working Paper Series from Institute for Social and Economic Research
Abstract:
We propose a nonparametric matching approach to estimation of implicit costs based on the compensating variation (CV) principle. We apply the method to estimate the additional personal costs experienced by disabled older people in Great Britain, finding that those costs are substantial, averaging in the range £48-61 a week, compared with the mean level of state disability benefit (£28) or total public support (£47) received. Estimated costs rise strongly with the severity of disability. We compare the nonparametric approach with the standard parametric method, finding that the latter tends to generate large overestimates unless conditions are ideal. The nonparametric approach has much to recommend it.
Date: 2013-12-04
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Published
Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... ers/iser/2013-26.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:ese:iserwp:2013-26
Ordering information: This working paper can be ordered from
Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
https://www.iser.essex.ac.uk/publications/
Access Statistics for this paper
More papers in ISER Working Paper Series from Institute for Social and Economic Research Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK. Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().