Das Jahr 2014 konnte die zu Jahresbeginn gehegten konjunkturellen Erwartungen nicht erfüllen. Sowohl in Deutschland als auch im Euroraum hat sich die Dynamik im Jahresverlauf deutlich abgeschwächt. Auch die Weltwirtschaft insgesamt ist schwächer als erwartet expandiert. Dies obwohl die USA...

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 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...

This paper proposes a new approach for creating country indices and applies it to the construction of an index ranking countries according to their current level of competitiveness in international goods exchange. Existing indices largely assign equal or in some other way arbitrary weights to...

This study focuses on the question whether nonlinear transformation of lagged time series values and residuals are able to systematically improve the average forecasting performance of simple Autoregressive models. Furthermore it investigates the potential superior forecasting results of a...

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...