This article assesses the role of the public sector in adaptation to climate change. We first offer a definition and categorization of climate change adaptation. We then consider the primary economic principles that can guide the assignment of adaptation tasks to either the private or the public...

The decomposition of a given time series into trend, seasonal component, and irregular component is formulated as a minimization problem. The trend is chosen such that it is as smooth as possible; the seasonal component is chosen such that it exhibits a seasonal pattern as stable as possible; and...

Due to exceptionally low birth rates, the dynamism of Europe will be lagging behind that of other regions of the world for the time being. The paper assembles a rich body of comparative empirical data to clarify the extent of the demographic problems for the EU countries. It advances the view...

The aim of this paper is to develop a model-based seasonal adjustment method which will yield the same decomposition formulas as the descriptive seasonal adjustment procedures proposed in Schlicht/Pauly (1984) and Schlicht (1981). Hence the duality between the descriptive and the model-based...

The seasonal adjustment method proposed by Schlicht (1981) can be viewed as a method that minimizes non-stochastic deviations (perturbations). This interpretation gives rise to a critique of the seasonality criterion used there. A new seasonality criterion is proposed that avoids these...

A labor market is considered that is characterized by job competition over job ladders. Firms paying more for comparable jobs can attract workers with better background characteristics (with general human capital) and will lose fewer trained workers (with general and firm-specific human...

The paper discusses a new seasonality hypothesis which is one part of a weighted regression approach for the decomposition of a time series into a trend, a seasonal component and an irregular component. It is shown that there exists a regression formulation leading, as in the descriptive...