This paper deals with the problem of tackling the adverse effect of output growth on environmental quality. For this purpose we use an intermediate sector that builds "putty-practically-clay" capital consisting of an amalgam of energy and raw capital used for final goods production. The...

The aim of the study is to quantify climate induced health risks for Germany. Based on high resolution climate scenarios for the period 2071 to 2100 we forecast the number of days with heat load and cold stress. The heat frequency and intensity increases overall but more in the south. Referring...

This paper attempts to evaluate the information content of money for the forecast of inflation, output, investment and consumption in the euro zone. It considers M1 and M3; a number of modifications to these aggregates is also proposed to enhance their forecast performance. The evaluation employs...

We investigate the impact of errors in medium run tax revenue forecasts on the final budget balance. Our analysis is based on fiscal data for the entirety of German states and takes advantage of revenue forecasts and respective errors that can be considered as exogenously given in the budgeting...

CO2 emissions from international shipping, which are currently unregulated, are predicted to rise from 2.7% today to 18% in 2050. International bunker fuel emissions have been excluded from any commitment in the Kyoto Protocol; the UNFCCC conference in Copenhagen also failed to bring about clear...

Based on predicted changes in the magnitude and distribution of global precipitation, temperature and river flow under the IPCC SRES A1B and A2 scenarios, this study assesses the potential impacts of climate change and CO2 fertilization on global agriculture. The analysis uses the new version of...

In this paper, we analyze how much the shipping sector could contribute to global CO2 emission reductions from an efficiency point of view. To do this, a marginal abatement cost curve (MACC) for the shipping sector is generated that can be combined with a MACC for conventional CO2 abatement in...

This paper presents a simple experiment on how laypeople form macroeconomic expectations. Subjects have to forecast inflation and GDP growth. By varying the information provided in different treatments, we can assess the importance of historical time-series information versus information...

The aim of the study is to quantify climate induced health risks for Germany. Based on high resolution climate scenarios for the period 2071 to 2100 we forecast the number of days with heat load and cold stress. The heat frequency and intensity increases overall but more in the south. Referring...

Global container ship movements may reliably predict global trade flows. Aggregating both movements at sea and port call events produces a wealth of explanatory variables. The machine learning algorithm partial least squares can map these explanatory time series to unilateral imports and...