Measuring income mobility with dirty data
Frank Cowell () and
Christian Schluter
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We examine the performance of measures of mobility when allowance is made for the possibility of data contamination. We find that “singlestage” indices – those that are applied directly to a sample from a multivariate income distribution – usually prove to be non-robust in the face of contamination. However, “two-stage” models of mobility – where the distribution is first “discretised” into income intervals and then a transition matrix or other tool is applied – may be robust if the first stage if appropriately specified.
JEL-codes: C1 J1 (search for similar items in EconPapers)
Pages: 29 pages
Date: 1998-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://eprints.lse.ac.uk/2079/ Open access version. (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:ehl:lserod:2079
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().