Konferenzbeitrag

Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models

This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany, combining rich individual-level household panel data with administrative county level information to estimate spatial county-level health dependencies. As dependent variable, we use the generic, continuous, and quasi-objective SF12 health measure. Our findings reveal strong and highly significant spatial dependencies and clusters. The strong and systematic county-level impact is comparable to an age effect on health of up to 31 years. Even 20 years after the peaceful German reunification, we detect a clear spatial East-West health pattern that equals an age impact on health of up to 9 life years.

Language
Englisch

Bibliographic citation
Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2013: Wettbewerbspolitik und Regulierung in einer globalen Wirtschaftsordnung - Session: Health and the Economy ; No. F07-V1

Classification
Wirtschaft
Bayesian Analysis: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Health: Government Policy; Regulation; Public Health

Event
Geistige Schöpfung
(who)
Eibich, Peter
Ziebarth, Nicolas
Event
Veröffentlichung
(who)
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
(where)
Kiel und Hamburg
(when)
2013

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Konferenzbeitrag

Associated

  • Eibich, Peter
  • Ziebarth, Nicolas
  • ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

Time of origin

  • 2013

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