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...

Hsieh and Klenow (2009) argue that a large fraction of aggregate TFP differences between the U.S. and the developing countries of China and India can be explained by capital misallocation. Their interpretation is that this misallocation is due to institutions and policies that distort resources...

Using representative microdata from the German Socio-Economic Panel Study (SOEP), we show that the welfare measure choice has a substantial impact on the degree of welfare-related health inequality. To assess the sensitivity of welfare-related health inequality measures, we combine a unique set...

This study empirically evaluates the effectiveness of different health care cost containment measures. The measures investigated were introduced in Germany in 1997 to reduce moral hazard and public health expenditures in the market for rehabilitation care. Of the analyzed measures, doubling the...

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...

Using representative survey data of the German Socio-Economic Panel Study (SOEP) for 2006, we show that the magnitude of health inequality measures like the concentration index (CI) depends crucially on the underlying health measure. The highest degree of inequality is found when dichotomized...