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PRODID:https://www.diw.de/de/diw_01.c.806339.de/veranstaltungen.html
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UID:diw_01.c.408431.de
LOCATION:Eleanor-Dulles-Raum,DIW Berlin im Quartier 110,5.2.010,Anton-Wilhelm-Amo-Straße 58,10117 Berlin
SUMMARY:Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models
DESCRIPTION:12:30-13:30 // AbstractThis paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany and combine 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 30 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 15 life years.
DTSTART;VALUE=DATE:20121121
DTEND;VALUE=DATE:20121121
DTSTAMP:20121113T230000Z
URL:https://www.diw.de/de/diw_01.c.408431.de/veranstaltungen/examining_the_structure_of_spatial_health_effects_using_hierarchical_bayes_models.html
ORGANIZER;CN=Patricia Gallego Granados:mailto:pgallegogranados@diw.de
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