 New Options for Understanding and Dealing with Index BiasMark Fossett
Chapter Chapter 15 in New Methods for Measuring and Analyzing Segregation, 2017, pp 237-255 from Springer Abstract: Abstract In this chapter I introduce a new approach for addressing the problem of index bias at the point of measurement. Specifically, I introduce new formulations of popular indices of uneven distribution that are free of bias and take expected values of zero when individuals and households are randomly assigned to residential locations. I accomplish this task by drawing on the difference of means formulations of segregation indices introduced in earlier chapters to first identify and then eliminate the root source of bias in standard versions of popular indices of uneven distribution. The crucial insight from the difference of means formulation is that the values for all popular indices of uneven distribution can be seen as resting on person-specific scores for pairwise group contact (p). Close consideration reveals that the source of index bias is found in these group contact scores. Happily, a surprisingly simple refinement in the calculation of these scores eliminates index bias. Date: 2017 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-319-41304-4_15 Ordering information: This item can be ordered from DOI: 10.1007/978-3-319-41304-4_15 Access Statistics for this chapter More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.