Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use the g...

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Bibliographic details
Volume: 49
Main Author: Eibich, Peter
Ziebarth, Nicolas R
Format: Journal Article
Language: English
Zielgruppe: Academic
Place of publication: AMSTERDAM Elsevier B.V 01.11.2014
ELSEVIER
DIW
published in: Regional science and urban economics Vol. 49; pp. 305 - 320
ORCID: 0000-0003-3562-2371
Data of publication: November 2014
ISSN: 0166-0462
1879-2308
EISSN: 1879-2308
Classification Codes:




Dewey Decimal Classification: 330
Discipline: Economics
Sociology & Social History
Subjects:
I18
C11
C21
I12
I14
Online Access: available in Bonn?
Database: Social Sciences Citation Index
Web of Science - Social Sciences Citation Index - 2014
Web of Knowledge
Web of Science
CrossRef
Academic OneFile (A&I only)
OpenAIRE
OpenAIRE (Open Access)
Database information Databases - DBIS