Alexandria Digital Research Library

Assessing inequality using geographic income distributions

Author:
Dev, Boris
Degree Grantor:
University of California, Santa Barbara. Geography
Degree Supervisor:
Sergio Rey
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2014
Issued Date:
2014
Topics:
Regional Studies, Urban and Regional Planning, and Geography
Keywords:
Income distribution
Spatial data analysis
Geospatial
Inequality
Segregation
Genres:
Dissertations, Academic and Online resources
Dissertation:
Ph.D.--University of California, Santa Barbara, 2014
Description:

Ordinarily, an analysis of income differentials based on standard metrics, such as the variance statistic or the gini coefficient, implicitly weights income differentials among different places the same, regardless of whether some pairs of places are more economically interdependent than others. The problem with the assumption that all pairs of places are uniformly interdependent is that changes in those income differentials considered to be less relevant to the inequality concern being addressed may quantitatively obscure acute changes of more relevant differentials.

This dissertation has three main chapters. The common aim of each chapter is to incorporate geographic information into a metric's formulation in order to make it more relevant to an explicit concern. Each of the chapters of the dissertation share three objectives: develop a spatial view of inequality based on a concern; incorporate the spatial view into a metric's formulation using a spatial weights matrix; evaluate if the results based on spatial assessments diverge from aspatial ones.

An important empirical finding of this research is that a proposed intra-city, inter-race inequality metric registers acute differentials among latino and white neighborhoods that an additive decomposition metric does not register. A key conceptual finding is the paradox that spatial inequality metrics formulated for different concerns can register the same change in opposite directions.

Physical Description:
1 online resource (146 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3ns0s04
ISBN:
9781321349313
Catalog System Number:
990045116870203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Boris Dev
File Description
Access: Public access
Dev_ucsb_0035D_12299.pdf pdf (Portable Document Format)