This paper re-conceptualizes the planning process in the big data era based on the improvements that non-linear modeling approaches provide over the mainstream linear approaches. First, it demonstrates challenges of conventional linear methodologies in modeling complexities of residential energy...

This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the...

This paper introduces ECB-(RE)BASE as the model-consistent, or rational expectation version of the ECB-BASE model. It brings new analytical capabilities to consider varying degrees of heterogeneity in expectation formation across the agents of the model. While the original version of ECB-BASE...

Die vorliegende Arbeit untersucht, wie sich Angebots-, Nachfrage- und geldpolitische Schocks aus den Vereinigten Staaten auf Deutschland übertragen. Dabei wird ein so genanntes factor-augmented vector autoregressive model (FAVAR) auf einen neu zusammengestellten Datensatz mit mehr als 200...

Die vorliegende Arbeit untersucht, wie sich Angebots-, Nachfrage- und geldpolitische Schocks aus den Vereinigten Staaten auf Deutschland übertragen. Dabei wird ein so genanntes Factor-Augmented Vector Autoregressive Model (FAVAR) auf einen neu zusammengestellten Datensatz mit mehr als 200...

Sustainable intensification of Ghana’s smallholder farming is critical to mitigate rural poverty. Innovations for sustainable intensification include agro-ecological practices, which build up soil fertility, and mulching, which conserves soil moisture. To stimulate the adoption of these...

1971-2009. Financial shocks are defined as unexpected changes of a financial conditions index (FCI), recently developed by Hatzius et al. (2010), for the US. We use a time-varying factor-augmented VAR to model the FCI jointly with a large set of macroeconomic, financial and trade variables for...

This paper systematically studies the use of mixed-frequency data sets and suggests that the use of high frequency data in forecasting economic aggregates can improve forecast accuracy. The best way of using this information is to build a single model, for example, an ARMA model with missing...