Hillmert, Steffen, Hartung, Andreas and Wessling, Katarina (2017). Dealing with space and place in standard survey data. Surv. Res. Methods, 11 (3). S. 267 - 288. DUISBURG: EUROPEAN SURVEY RESEARCH ASSOCIATION. ISSN 1864-3361

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Abstract

Heterogeneity of local conditions and spatial dependencies are typical aspects of sociological phenomena. However, large-scale empirical data is often rather limited with regard to the spatial references that are (publicly) available to researchers. We describe several aspects of the problem and assess available options and consequences associated with limited information. Our empirical examples are popular research topics such as returns to education and genderbased and migration-related wage gaps. We base our analyses upon widely used survey data from Germany, the German Socio-Economic Panel Study (GSOEP), which contains geographical information on various levels of aggregation. Our particular interest is focused on problems of space and place in standard large-scale socio-economic surveys and what researchers need to consider when making decisions about their analytical strategy.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Hillmert, SteffenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hartung, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wessling, KatarinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-244006
DOI: 10.18148/srm/2017.v11i3.6729
Journal or Publication Title: Surv. Res. Methods
Volume: 11
Number: 3
Page Range: S. 267 - 288
Date: 2017
Publisher: EUROPEAN SURVEY RESEARCH ASSOCIATION
Place of Publication: DUISBURG
ISSN: 1864-3361
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
GEOGRAPHICALLY WEIGHTED REGRESSION; SPATIAL AUTOCORRELATION; EDUCATION; RETURNSMultiple languages
Social Sciences, Mathematical MethodsMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/24400

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