EconPapers    
Economics at your fingertips  
 

New Options for Investigating Macro-level Variation in Segregation

Mark Fossett
Additional contact information
Mark Fossett: Texas A&M University, Department of Sociology

Chapter Chapter 10 in New Methods for Measuring and Analyzing Segregation, 2017, pp 181-189 from Springer

Abstract: Abstract The previous chapter established that the difference of means framework for measuring segregation makes it possible to investigate segregation in a single city using individual-level models of residential attainment. The discussion in this chapter reviews how this approach can be extended to investigate ecological (i.e., aggregate-level) variation in segregation across cities and over time using multi-level models of individual residential attainments. The key is that ecological variation in segregation can be investigated by assessing how the effect of race on segregation-relevant individual residential outcomes is conditioned by time and/or city characteristics. A central advantage of this approach is that it permits researchers to also include relevant non-racial social and economic characteristics in the micro-model. This allows effects of community characteristics to be estimated at the “zero order” level or “net” of controls for non-racial factors. It also can help overcome the risk of errors of inference that are likely to occur in aggregate-level analyses that attempt to control for relevant individual-level social and economic characteristics using aggregate-level indicators of group disparity on these variables.

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:ssdmcp:978-3-319-41304-4_10

Ordering information: This item can be ordered from
http://www.springer.com/9783319413044

DOI: 10.1007/978-3-319-41304-4_10

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-13
Handle: RePEc:spr:ssdmcp:978-3-319-41304-4_10