This paper presents evidence for sources and channels of nonlinearities and instabilities of the new Keynesian Phillips curve (NKPC) for the euro area and all but four member states over the last two decades prior to the COVID-19 crisis. The approach rests upon misspecification testing using...

This paper presents evidence for sources and channels of nonlinearities and instabilities of the new Keynesian Phillips curve (NKPC) for the euro area and all but four member states over the last two decades prior to the COVID-19 crisis. The approach rests upon misspecification testing using...

Generalized Information Matrix Tests (GIMTs) have recently been used for detecting the presence of misspecification in regression models in both randomized controlled trials and observational studies. In this paper, a unified GIMT framework is developed for the purpose of identifying,...

Generalized Information Matrix Tests (GIMTs) have recently been used for detecting the presence of misspecification in regression models in both randomized controlled trials and observational studies. In this paper, a unified GIMT framework is developed for the purpose of identifying,...

Chow et al. (2011) apply three time-varying parameter methods to investigate the relationship between the stock markets of Shanghai and New York and find that the mutual influence between the two markets has increased since 2002. We reconsider their approaches and find that two suffer from...

Ziel dieser Arbeit ist die Untersuchung der Bedeutung der Spezifikation für Ratingmodelle zur Prognose von Kreditausfallwahrscheinlichkeiten. Ausgehend von dem in der Bankenpraxis etablierten Logit-Modell werden verschiedene Modellerweiterungen diskutiert und hinsichtlich ihrer Eigenschaften...

This study investigates the degree of size-distortion of the RESET, FRESETL and FRESETS tests, and their ability to reject falsely specified models in terms of an omitted variable, in the presence of autocorrelation. Specifically, in the presence of AR(1) and MA(1) processes, respectively. We...