Showing 1 - 10 of 50
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
This paper estimates the causal effect of retirement on health, health behavior, and healthcare utilization. Using Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I investigate a wide range of health behaviors (e.g. alcohol and...
Persistent link: https://www.econbiz.de/10011086678
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