This paper sets out to investigate the changing patterns of electricity intensity in European manufacturing for the time span 2000-2011. While GVA in Manufacturing has grown and electricity use has declined, it is not clear that this decrease in intensity is directly associated with improvements...

The aim of this study is to quantify the macroeconomic costs resulting from a one hour power outage at the level of German counties. This is done by combining public data from various sources based on a well-established methodology, which both accounts for production losses of firms and losses...

This study analyzes the economic consequences of power rationing at the level of German counties. Based on a common production function approach, it estimates the costs of power outages for firms and households in all counties and uses these estimates to derive hypothetical rationing plans for...

We investigate the performance of the IHK business climate indices as forecasting tools within a growth framework at the level of four federal states in Northern Germany. In doing this, we match quarterly index scores with estimates of quarterly production data, generated through a Chow-Lin...

This paper intends to further understanding of catastrophic events by reviewing the economic literature on their effects as well as potential means of dealing with the corresponding risks and uncertainties. Since 2000, the world has seen a number of catastrophes including terrorist attacks in...

This paper is a first attempt to construct quantitative forecasts for regional growth in Germany using business survey data (BSD) from the German chambers of commerce. A panel approach is used to model the growth rates of the Bundesländer from the year 2000 onwards. The proposed model does well...

Human capital is a driving factor of innovation and economic growth. Economic prospects of cities depend on high qualified workers' knowledge and therefore, attracting highly qualified workers plays a fundamental role for cities' prospects. This study contributes to the question which factors...

Although many macroeconomic time series are assumed to follow nonlinear processes, nonlinear models often do not provide better predictions than their linear counterparts. Furthermore, such models easily become very complex and difficult to estimate. The aim of this study is to investigate...

This paper examines if overreaction of oil price forecasters is related to uncertainty. Furthermore, it takes into account impacts from oil price return and oil price volatility on forecast changes. The panel smooth transition regression model from González et al. (2005) is applied with...

The regionalization of national input-output tables is a major issue in regional science as corresponding regional data is often unavailable. In this paper, a framework is developed to estimate intra- and interregional input-output tables. The intraregional estimates are based on the...