Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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The Causal Effect of Watching TV on Material Aspirations: Evidence from the “Valley of the Innocent”
Walter Hyll, Lutz Schneider
Abstract
The paper addresses the question of whether TV consumption has an impact on material aspirations. We exploit a natural experiment that took place during the period in which Germany was divided. Owing to geographical reasons, TV programs from the Federal Republic of Germany could not be received in all parts of the German Democratic Republic. Therefore, a natural variation occurred in exposure to West German television. We find robust evidence that watching TV is positively correlated with aspirations. Our identification strategy implies a causal relationship running from TV to aspirations. This conclusion resists various sets of alternative specifications and samples.
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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model – the Halle Economic Projection Model (HEPM) – is closely related to studies recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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Armut im Alter – Ursachenanalyse und eine Projektion für das Jahr 2023
Ingmar Kumpmann, Michael Gühne, Herbert S. Buscher
Abstract
Verschiedene Faktoren bewirken eine Zunahme der Altersarmut in Deutschland, insbesondere in Ostdeutschland. Mit Daten des Sozio-oekonomischen Panel (SOEP) untersuchen wir Ursachen und Ausmaß der Altersarmut in Deutschland. Wir beginnen mit einer Querschnittsregression zur Bestimmung der Einflussfaktoren der Alterseinkommen. Im zweiten Schritt nehmen wir eine Projektion der Einkommen der 50- bis 55-Jährigen des Jahres 2008 für das Jahr 2023 vor. Dabei berücksichtigen wir sämtliche Einkommensarten, einschließlich verschiedener Formen von Kapitaleinkünften und des Wohnwerts selbst genutzten Wohneigentums. Es zeigt sich, dass, verglichen mit der heutigen alten Generation, vor allem in Ostdeutschland das Armutsrisiko steigt. Dies ist auf den Wandel der Erwerbsbiografien in der Folge der deutschen Vereinigung zurückzuführen.
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