SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.18148/srm/2017.v11i4.7214

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Name-Based Measures of Neighborhood Composition: How Telling Are Neighbors' Names

[journal article]

Kruse, Hanno
Dollmann, Jörg

Abstract

Name-based ethnicity classification is a common tool in the sampling of minority populations. In recent years, however, it has become a popular technique to construct measures of neighborhood composition if more objective data are unavailable. In this article, we test the accuracy of such name-based... view more

Name-based ethnicity classification is a common tool in the sampling of minority populations. In recent years, however, it has become a popular technique to construct measures of neighborhood composition if more objective data are unavailable. In this article, we test the accuracy of such name-based measures of neighborhood composition, relying on the example of German neighborhoods. Drawing upon previous research, we assert that ethnic groups differ as to how well they are identifiable via name-based classification. Moreover, the ethnic mix in neighborhoods varies systematically, the ethnicities of immigrants residing in majority-dominated neighborhoods differing from those residing in minority-dominated neighborhoods. Taken together, these two notions imply that a name-based classification bias should be neighborhood-specific. Results indicate a tendency to overestimate majority shares in minority-dominated neighborhoods and slightly underestimate them in majority-dominated neighborhoods. All analyses rely on data from the "Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU)" as well as on neighborhood compositional data from local statistics of two German cities. The article closes with a discussion of potential strategies to cope with the name-based classification bias.... view less

Keywords
city quarter; ethnic group; Federal Republic of Germany; demographical structure; ethnic structure; assimilation; name; data capture

Classification
Migration, Sociology of Migration
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
name-based classification; neighborhood composition; ethnicity; CILS4EU; assimilation bias; onomastics

Document language
English

Publication Year
2017

Page/Pages
p. 435-450

Journal
Survey Research Methods, 11 (2017) 4

ISSN
1864-3361

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.