Dissertation/Thesis Abstract

Three Methodological Innovations in Race and Ethnicity Research
by Napierala, Jeffrey Scott, Ph.D., State University of New York at Albany, 2018, 165; 10807952
Abstract (Summary)

This dissertation examines topics related to racial and ethnic diversity through three essays. Each essay takes a new perspective on a current issue in the literature and utilizes a unique statistical methodology to address that issue. The first essay uses the Monte Carlo Simulation Method to develop a measure of segregation for the ACS and uses it to assess whether the ACS is useful for measuring segregation in places with different sizes. The second essay considers whether a relatively unexplored factor, genetics, is correlated with migration. This perspective broadens our understanding of why migration occurs and is perpetuated over time. The last essay considers the roles that time and space play in Mexican-born settlement patterns using spatial models and statistics. The use of spatial models allows for more refined tests of spatial hypotheses, which is shown to partially account for trends over the last few decades.

Indexing (document details)
Advisor: Denton, Nancy A.
Commitee: Alba, Richard A., Deane, Glenn D., Gage, Timothy B.
School: State University of New York at Albany
Department: Sociology
School Location: United States -- New York
Source: DAI-A 79/09(E), Dissertation Abstracts International
Subjects: Genetics, Latin American Studies, Demography
Keywords: Demography, Genetics, Immigration, Methodology, Segregation
Publication Number: 10807952
ISBN: 978-0-355-88234-6
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