Entering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the "new normal" have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as "disruption tails." While the research community has undertaken considerable...

Due to their growing global and complex nature, supply chains are increasingly vulnerable to natural and man-made disasters that disrupt the flow of goods. Today, recovering from supply chain disruptions represents a major challenge for supply chain professionals. In research, most recovery...

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 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...

Das Papier untersucht die Rolle von Frühindikatoren bei der Erstellung von Konjunkturprognosen. Gegenstand der Analyse sind die Fragen: Welche Kriterien sollten Frühindikatoren generell erfüllen bzw. was sollten Frühindikatoren leisten? Inwieweit erfüllen die gängigen Indikatoren diese...

We use a range of simple models and 22 years of real-time data vintages for the U.S. to assess the difficulties of estimating the equilibrium real interest rate in real time. Model specifications differ according to whether the time-varying equilibrium real rate is linked to trend growth, and...

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...

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...

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 presents a quarterly estimated structural macroeconomic model for the euro area, denoted area-wide model (AWM). This model has been developed with four uses in mind: the assessment of economic conditions in the area, macroeconomic forecasting, policy analysis and deepening...