A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...

Inflation is a monetary phenomenon. While this statement is widely accepted in terms of a long-run relationship, the quantity theory has been made operational also for the short-run dynamics of inflation by so-called Pstar models. An error correction model with quarterly data for the Euro Area...

This paper estimates a simple univariate model of expectation or opinion formation in continuous time adapting a 'canonical' stochastic model of collective opinion dynamics (Weidlich and Haag, 1983; Lux, 1995, 2007). This framework is applied to a selected data set on survey-based expectations from...

Die vorliegende Studie untersucht die Zusammenhänge zwischen Erdölpreisen, Kraftstoffpreisen, verbrauchten Mengen und dem Energiesteueraufkommen. Wesentliche Ergebnisse sind, dass die verbrauchten Kraftstoffmengen mit der gesamtwirtschaftlichen Produktion und den Erdölpreisen schwanken. Vor...

We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...

The number of studies published focusing on people’s preferences for green electricity has increased steadily, making it more and more difficult to identify key explanatory factors that determine people’s willingness-to-pay (WTP). Based on results of a meta-regression our results indicate...

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...

I study the performance of single predictor bridge equation models as well as a wide range of model selection and pooling techniques, including Mallows model averaging and Cross-Validation model averaging, for short-term forecasting euro area GDP growth. I explore to what extend model selection...

In this paper we empirically examine a heterogenous bounded rationality version of a hybrid New-Keynesian model. The model is estimated via the simulated method of moments using Euro Area data from 1975Q1 to 2009Q4. It is generally assumed that agents’ beliefs display waves of optimism and...

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...