|This centre is a member of The LSE Research Laboratory [RLAB]: CASE | CVER | CEP | SERC | STICERD||Cookies?|
Paper No' CASE 016: | Full paper
Save Reference as: BibTeX File | EndNote Import File
Keywords: Mobility measures; robustness; data contamination
Is hard copy/paper copy available? YES - Paper Copy Still In Print.
This Paper is published under the following series: CASE Papers
Share this page: Google Bookmarks | Facebook | Twitter
Abstract:We examine the performance of measures of mobility when allowance is made for the possibility of data contamination. We find that 'single-stage' 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 is appropriately specified.
Copyright © RLAB & LSE 2003 - 2017 | LSE, Houghton Street, London WC2A 2AE | Contact: RLAB | Site updated 28 June 2017