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~person:"Eibich, Peter"
~subject:"Estimation"
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Estimation
SOEP
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Germany
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BASE-II
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Hierarchical Bayes Models
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Spatial health effects
8
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well-being
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Bayesian inference
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health care utilization
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health plan switching
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price framing
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small area variation
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Eibich, Peter
Goerke, Laszlo
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Pannenberg, Markus
14
Merz, Joachim
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Grabka, Markus M.
9
D'Ambrosio, Conchita
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Ziebarth, Nicolas R.
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Riphahn, Regina T.
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Wagner, Gert G.
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Wiynck, Frederik
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Hille, Adrian
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Kunze, Lars
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Piper, Alan T.
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Regional science & urban economics
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SOEP papers on multidisciplinary panel data research / German Socio-Economic Panel Study (SOEP), DIW Berlin
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ECONIS (ZBW)
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Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas R.
-
2013
individual-level household panel data from the German
SOEP
with administrative county-level data to estimate spatial county …
Persistent link: https://www.econbiz.de/10010241623
Saved in:
2
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas R.
-
2013
individual-level household panel data from the German
SOEP
with administrative county-level data to estimate spatial county …
Persistent link: https://www.econbiz.de/10010475803
Saved in:
3
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas R.
- In:
Regional science & urban economics
49
(
2014
),
pp. 305-320
Persistent link: https://www.econbiz.de/10011291523
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