Artikel
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 generic, continuous, and quasi-objective SF12 health measure. We find strong and highly significant spatial dependencies and clusters. The strong and systematic county-level impact is equivalent to 0.35 standard deviations in health. Even 20 years after German reunification, we detect a clear spatial East–West health pattern that equals an age impact on health of up to 5 life years for a 40-year old.
- Language
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Englisch
- Bibliographic citation
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Journal: Regional Science and Urban Economics ; ISSN: 0166-0462 ; Volume: 49 ; Year: 2014 ; Pages: 305-320 ; Amsterdam: Elsevier
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Bayesian Analysis: General
Health Behavior
Health and Inequality
Health: Government Policy; Regulation; Public Health
- Subject
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Spatial health effects
Hierarchical Bayes Models
Germany
SOEP
SF12
Gesundheitspolitik
Gesundheitswesen
Statistische Methode
Panel
- Event
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Geistige Schöpfung
- (who)
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Eibich, Peter
Ziebarth, Nicolas
- Event
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Veröffentlichung
- (who)
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Elsevier
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
- (where)
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Amsterdam
- (when)
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2014-11
- DOI
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doi:10.1016/j.regsciurbeco.2014.06.005
- Handle
- Last update
-
10.03.2025, 11:46 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Eibich, Peter
- Ziebarth, Nicolas
- Elsevier
- ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
Time of origin
- 2014-11
Other Objects (12)
Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models
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Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models
Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Hierarchical Bayes and frequentist aggregation in inverse problems
Hierarchical Bayes Statistical Analyses for a Calibration Experiment
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Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players
GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS
Bayes estimation of toxicokinetic parameters in a four-stage hierarchical model
Bayes quadratic unbiased estimator of spatial covariance parameters
Hierarchical calculation of 3d structure
Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models
Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Hierarchical Bayes and frequentist aggregation in inverse problems
Hierarchical Bayes Statistical Analyses for a Calibration Experiment
Hierarchical Bayes statistical analyses for a calibration experiment
Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players
GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS
Bayes estimation of toxicokinetic parameters in a four-stage hierarchical model
Bayes quadratic unbiased estimator of spatial covariance parameters