کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7383935 | 1480545 | 2014 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
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چکیده انگلیسی
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 20Â 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Regional Science and Urban Economics - Volume 49, November 2014, Pages 305-320
Journal: Regional Science and Urban Economics - Volume 49, November 2014, Pages 305-320
نویسندگان
Peter Eibich, Nicolas R. Ziebarth,