Showing 1 - 10 of 12,920
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/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/10011146837
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 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 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 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
This paper will focus on the living conditions of disabled people with different degree of limitations as regards to daily activities. In a first step of analysis we focus on the predictors of four specific domains of life satisfaction. In a second step, we attempt to define the different...
Persistent link: https://www.econbiz.de/10010929891
This paper will focus on the living conditions of disabled people with different degree of limitations as regards to daily activities. In a first step of analysis we focus on the predictors of four specific domains of life satisfaction. In a second step, we attempt to define the different...
Persistent link: https://www.econbiz.de/10010787875