Loading…
Measuring Displacement: Assessing Proxies for Involuntary Residential Mobility
Research has repeatedly found that displacement is not more likely in gentrifying neighborhoods. Since the dependent variable—displacement—is difficult to measure, researchers resort to a variety of proxy measures for it. I classify three types of proxies: a population approach that measures composi...
Saved in:
Published in: | City & community 2020-09, Vol.19 (3), p.573-592 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Research has repeatedly found that displacement is not more likely in gentrifying neighborhoods. Since the dependent variable—displacement—is difficult to measure, researchers resort to a variety of proxy measures for it. I classify three types of proxies: a population approach that measures compositional changes in neighborhoods over time, an individual approach that measures individual housing mobility, and a motivational approach that traces both individual mobility as well as the reasons why a household moved to determine whether that move was involuntary. I examine the prevalence of these approaches across a sample of the literature. I then test the commensurability of the proxy measures with data from New York City by comparing the rank orderings of neighborhoods with the most and least displacement. I find widely different results across the approaches. I explain these results by examining the underlying mechanisms of displacement that are masked by the other approaches. |
---|---|
ISSN: | 1535-6841 1540-6040 |
DOI: | 10.1111/cico.12482 |