different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal … demand system, we estimate input and profit demand functions to obtain proxies for expected return and risk. Efficiency is … then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher …

of the United States, Canada and Germany to data risks posed by popular apps such as FaceApp, Facebook, Strava, TikTok … countries in which they live) at risk. …

estimated. Due to uncertainty, expected future profits may not serve as a tax base. Therefore, in Germany e.g., a tax value is …

To provide a foundation for political decisions regarding terrorism in Germany, this risk must be thoroughly analyzed …. Therefore, an objective risk assessment has to be undertaken. This was done in a sub-project of "Risk Map Germany" (www …Um politische Entscheidungen zum Umgang mit dem Terrorismus in Deutschland treffen zu können, ist eine eingehende …

panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates …. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of …

macroeconometric model of the Bundesbank for Germany. Forecast intervals that integrate judgement on risk and uncertainty are obtained. …This paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non …

contributions for the original citizens. As an empirical example, we employ Germany?s crime statistic in order to assess the …

Modeling the price risk of CO2 certificates is one important aspect of integral corporate risk management related to … emissions trading. The paper presents a risk model which may be the basis for evaluating the risk of emission certificate prices …