Up until now, the concept of compression in single- or multivariate regressions has been limited to the common-frequency case. Having an application of macroeconomic forecasting in mind, one inevitably has to deal with variables sampled at various frequencies. Consequently, this work attempts to...

In order to get the COVID-19 pandemic under control, most governments around the globe have adopted some sort of containment policies. In the light of the enormous costs of these policies, in many countries highly controversial discussions on the adequacy of the chosen policies evolved. We...

In order to get the COVID-19 pandemic under control, most governments around the globe have adopted some sort of containment policies. In the light of the enormous costs of these policies, in many countries highly controversial discussions on the adequacy of the chosen policies evolved. We...

The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

The topic of this paper is the estimation uncertainty of the Stock-Watson and Gonzalo-Granger permanent-transitory decompositions in the framework of the co-integrated vector autoregression. We suggest an approach to construct the confidence interval of the transitory component estimate in a...

Eine der größten Herausforderungen für die Konjunkturforschung ist es, konjunkturelle Wendepunkte frühzeitig und zuverlässig zu erkennen. Die Datenlage in Echtzeit ist dabei grundsätzlich problematisch: Einerseits gibt es bei realwirtschaftlichen Indikatoren eine...

Anhand einiger zeitreihentheoretischer Überlegungen wird gezeigt, das eine produktivitätsorientierte Lohnpolitik im Sinne der Position des deutschen Sachverständigenrats zur Begutachtung der gesamtwirtschaftlichen Entwicklung (SVR) Mitte der 80er Jahre langfristig daran scheitern muß, die...