Showing 1 - 10 of 65
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...
Persistent link: https://www.econbiz.de/10011161210
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...
Persistent link: https://www.econbiz.de/10010958108
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...
Persistent link: https://www.econbiz.de/10011117437
This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may...
Persistent link: https://www.econbiz.de/10011123400
This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may...
Persistent link: https://www.econbiz.de/10010737944
This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature,our approach allows us to net out a large array of individual-level and state-level factors that may...
Persistent link: https://www.econbiz.de/10010896239
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...
Persistent link: https://www.econbiz.de/10010896253
This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may...
Persistent link: https://www.econbiz.de/10010981072
The German health care reform implemented in 2009 led to a considerable increase in price transparency within the statutory health insurance (SHI) (Gesetzliche Krankenversicherung, GKV) system and also made it more consumer-friendly which, in turn, has encouraged policy holders to react to price...
Persistent link: https://www.econbiz.de/10009653971
Die 2009 implementierte Gesundheitsreform hat die Preistransparenz und somit die Verbraucherfreundlichkeit innerhalb der gesetzlichen Krankenversicherung (GKV) zunächst deutlich erhöht und die Bereitschaft der Versicherten gefördert, auf Preiserhöhungen mit einem Wechsel der Krankenkasse zu...
Persistent link: https://www.econbiz.de/10009399844