19.03.2018 • 4/2018
Economists – and the others
People with a background in economics react more strongly to financial incentives – both positively and negatively, as Dmitri Bershadskyy of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association – found out. At the beginning of his laboratory experiment, economists were prepared to spend more money on a public good and keep to this social behaviour for a longer period than non-economists. However, towards the end of the experiment they were also the greatest free-riders.
Dmitri Bershadskyy
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19.12.2017 • 40/2017
The medium-term economic development in Germany from 2017 to 2022 and opportunities for fiscal policies of a new federal government
Due to the cyclical upswing in Germany, in case of unaltered legislation, the general government would achieve considerable budget surpluses in the years ahead. As a consequence, there is large fiscal scope for a new federal government. With the fiscal policy simulation model of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association, the macroeconomic effects of various fiscal policy measures are analysed. The results show that additional government expenditures, like the expansion of social benefits, do have a stronger effect on GDP than revenue cuts, like for instance tax reliefs. „Due to the already high capacity utilisation, revenue cuts seem to be advantageous from a business cycle perspective. Moreover, a reduction of the high taxes and charges on labour would, in contrast to an expansion of social benefits, have a positive effect on potential output“, says Oliver Holtemöller, head of the Department of Macroeconomics and IWH vice president.
Oliver Holtemöller
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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11.08.2016 • 34/2016
2016 stress tests: Italian banks don’t look worse than German large commercial banks
The European Banking Authority today presented the results of the 2016 stress tests. They show that most European banks appear more or less stable. “What worries me is, however, that the Italian banks do not look worse than the large German commercial banks,” says Reint E. Gropp, president of the Halle Institute for Economic Research (IWH). “It appears that both Deutsche Bank and Commerzbank would benefit significantly from an increase in equity. The stress test was also missing two crucial points: One, the effect of a long lasting low interest rate environment on banks was not simulated. And second, the test did not take into consideration that many small institutions could fail at the same time. This is not an unlikely scenario, given how small banks in particular struggle with shrinking interest margins,“ says Gropp. Finally, the stress test should not distract from the urgency to solve the problems in the Italian banking system.
Reint E. Gropp
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Journal of Macroeconomics,
June
2016
Abstract
In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameter estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.
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1st IWH-FIN-FIRE Workshop on Challenges to Financial Stability
Annika Bacher, Lena Tonzer
Wirtschaft im Wandel,
No. 5,
2015
Abstract
Im Rahmen des Workshops tauschten sich internationale Teilnehmerinnen und Teilnehmer über aktuelle Forschungspapiere rund um das Thema „Challenges to Financial Stability“ aus. Im Wesentlichen diente der Workshop als Plattform, um Änderungen in den regulatorischen Rahmenbedingungen des Finanzsektors und die daraus resultierenden Einflüsse auf die Finanzstabilität bzw. die Konsequenzen für die Realwirtschaft zu diskutieren.
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10.08.2015 • 30/2015
Germany Benefited Substantially from the Greek Crisis
The balanced budget in Germany is largely the result of lower interest payments due to the European debt crisis. Research from the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association shows that the debt crisis resulted in a reduction in German bund rates of about 300 basis points (BP), yielding interest savings of more than EUR 100 billion (or more than 3% of gross domestic product, GDP) during the period 2010 to 2015. A significant part of this reduction is directly attributable to the Greek crisis. When discussing the costs to the German tax payer of saving Greece, these benefits should not be overlooked, as they tend to be larger than the expenses, even in a scenario where Greece does not repay any of its debts.
Reint E. Gropp
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The ex-post threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Abstract
In the present paper, we build a bivariate semiparametric dynamic panel model to repro-duce the joint dynamics of sovereign ratings and government bond yields. While the individual equations resemble Pesaran-type cointegration models, we allow for different long-run relationships in both equations, nonlinearities in the level effect of ratings, and asymmetric effects in changes of ratings and yields. We find that the interest rate equation and the rating equation imply significantly different long-run relationships. While the high persistence in both interest rates and ratings might lead to the misconception that they follow a unit root process, the joint analysis reveals that they converge slowly to a joint equilibrium. While this indicates that there is no vicious cycle driving countries into default, the persistence of ratings is high enough that a rating shock can have substantial costs. Generally, the interest rate adjusts rather quickly to the risk premium that is in line with the rating. For most ratings, this risk premium is only marginal. However, it becomes substantial when ratings are downgraded to highly speculative (a rating of B) or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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