In this paper a method is developed to derive prices for natural goods from information about material and energy flows within ecosystems. The derivation is based on an analogy between ecological and economic systems: both systems are characterized by flows of material and energy. To derive...

Für die neue Statistik der Strom- und Erdgasdurchschnittspreise hat das Statistische Bundesamt erstmals im Jahr 2020 Durchschnittspreise für Strom und Erdgas beim Verkauf an Endkunden im Haushaltssektor und Nicht-Haushaltssektor erfasst. Die ermittelten Preise werden gegliedert nach...

Eine erste systematische, modellgestützte Untersuchung der ökologischen Steuerreform in Deutschland kommt zu moderaten bis positiven Effekten auf Wirtschaftswachstum, Beschäftigung, Energieverbrauch und CO2-Emissionen. Für die Analyse wurden zwei gesamtwirtschaftliche Modelle - ein...

This paper proposes a strategy to increase the efficiency of forecast combination. Given the availability of a wide range of forecasts for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, a hierarchical procedure based on an...

This paper proposes a strategy to increase the efficiency of forecast combining methods. Given the availability of a wide range of forecasting models for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, an algorithm procedure based...

This paper discusses pooling versus model selection for now- and forecasting in the presence of model uncertainty with large, unbalanced datasets. Empirically, unbalanced data is pervasive in economics and typically due to different sampling frequencies and publication delays. Two model classes...

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci…cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coe¢ cients,...

We propose a new and simple methodology to estimate the loss function associated with experts' forecasts. Under the assumption of conditional normality of the data and the forecast distribution, the asymmetry parameter of the lin-lin and linex loss function can easily be estimated using a linear...

There have been many attempts, theoretical and empirical, to explain the persistence of a favorite-longshot bias in various horse betting markets. Most recently, Snowberg and Wolfers (2010) have shown that the data for the US markets support a misperceptions of probability approach in line with...