25 Jahre IWH

Cover_IWH-Discussion-Papers_2016.jpg

Qual VAR Revisited: Good Forecast, Bad Story

Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, i.e. a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonably well in forecasting (outperforming a probit benchmark), there are substantial identification problems. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, the Qual VAR is inadvisable.

12. Dezember 2012

Autoren Makram El-Shagi Gregor von Schweinitz

Empfohlene Publikationen

cover_journal-of-applied-economics.gif

Qual VAR Revisited: Good Forecast, Bad Story

Makram El-Shagi Gregor von Schweinitz

in: Journal of Applied Economics , Nr. 2, 2016

Abstract

Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, originally proposed by Dueker (2005). The Qual VAR is a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonable well in forecasting (outperforming a probit benchmark), there are substantial identification problems even in a simple VAR specification. Typically, identification in economic applications is far more difficult than in our simple benchmark. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, use of the Qual VAR is inadvisable.

Publikation lesen

Ansprechpartner

Für Wissenschaftler/innen

Stefanie Müller
Stefanie Müller
Pressereferentin

Für Rückfragen stehe ich Ihnen gerne zur Verfügung.

+49 345 7753-720 Anfrage per E-Mail

Für Journalistinnen/en

Stefanie Müller
Stefanie Müller
Pressereferentin

Für Rückfragen stehe ich Ihnen gerne zur Verfügung.

+49 345 7753-720 Anfrage per E-Mail
Mitglied der Leibniz-Gemeinschaft LogoTotal-Equality-LogoWeltoffen Logo