Nested Models and Model Uncertainty
Alexander Kriwoluzky, Christian A. Stoltenberg
Scandinavian Journal of Economics,
Nr. 2,
2016
Abstract
Uncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions). Following Sims (2008, Journal of Economic Dynamics and Control 32, 2460–2475), we treat nested submodels as probability models, and we formalize a procedure that ensures that submodels are not discarded too easily and do matter for optimal policy. For the United States, we find that optimal policy based on our procedure leads to substantial welfare gains compared to the standard procedure.
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Toward a Taylor Rule for Fiscal Policy
Martin Kliem, Alexander Kriwoluzky
Review of Economic Dynamics,
Nr. 2,
2014
Abstract
In DSGE models, fiscal policy is typically described by simple rules in which tax rates respond to the level of output. We show that there is only weak empirical evidence in favor of such specifications in US data. Instead, the cyclical movements of labor and capital income tax rates are better described by a contemporaneous response to hours worked and investment, respectively. We show that conditioning on these variables is also desirable from a normative perspective as it significantly improves welfare relative to output-based rules.
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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
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 parameters 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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Did TARP Distort Competition Among Sound Banks?
Michael Koetter, Felix Noth
Abstract
This study investigates if the Troubled Asset Relief Program (TARP) distorted price competition in U.S. banking. Political indicators reveal bailout expectations after 2009, manifested as beliefs about the predicted probability of receiving equity support relative to failing during the TARP disbursement period. In addition, the TARP affected the competitive conduct of unsupported banks after the program stopped in the fourth quarter of 2009. Loan rates were higher, and the risk premium required by depositors was lower for banks with higher bailout expectations. The interest margins of unsupported banks increased in the immediate aftermath of the TARP disbursement but not after 2010. No effects emerged for loan or deposit growth, which suggests that protected banks did not increase their market shares at the expense of less protected banks.
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Bank Bailouts and Moral Hazard: Evidence from Germany
Lammertjan Dam, Michael Koetter
Review of Financial Studies,
Nr. 8,
2012
Abstract
We use a structural econometric model to provide empirical evidence that safety nets in the banking industry lead to additional risk taking. To identify the moral hazard effect of bailout expectations on bank risk, we exploit the fact that regional political factors explain bank bailouts but not bank risk. The sample includes all observed capital preservation measures and distressed exits in the German banking industry during 1995–2006. A change of bailout expectations by two standard deviations increases the probability of official distress from 6.6% to 9.4%, which is economically significant.
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Das makroökonometrische Modell des IWH: Eine angebotsseitige Betrachtung
Rolf Scheufele
IWH Discussion Papers,
Nr. 9,
2008
Abstract
Diese Arbeit beschreibt das makroökonometrische Modell des IWH: ein auf Quartalsdaten gestütztes, strukturelles Modell für die deutsche Volkswirtschaft. Der Beitrag konzentriert sich auf die Spezifikation und Schätzungen der angebotsseitigen Aspekte des Modells. Dieser Ansatz gewährleistet ein theoretisch fundiertes langfristiges Modellgleichgewicht. Somit verbindet das Modell kurzfristig gewünschte Prognoseeigenschaften mit langfristigen theoretischen Anforderungen. Für einige makroökonomische Aggregate werden kurz- bis langfristige Auswirkungen von Angebots- und Nachfrageschocks dargestellt. Zudem werden durch Modellsimulationen die Auswirkungen außenwirtschaftlicher Schocks auf das Gesamtmodell illustriert.
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Measurement Matters — Alternative Input Price Proxies for Bank Efficiency Analyses
Michael Koetter
Journal of Financial Services Research,
Nr. 2,
2006
Abstract
Most bank efficiency studies that use stochastic frontier analysis (SFA) employ each bank’s own implicit input price when estimating efficient frontiers. But at the same time, most studies are based on cost and/or profit models that assume perfect input markets. Traditional input price proxies therefore contain at least substantial measurement error. We suggest here two alternative input market definitions to approximate exogenous input prices. We have access to Bundesbank data, which allows us to cover virtually all German universal banks between 1993 and 2003. The use of alternative input price proxies leads to mean cost efficiency that is significantly five percentage points lower compared to traditional input prices. Mean profit efficiency is hardly affected. Across models, small cooperative banks located in large western states perform best while large banks and those located in eastern states rank lowest.
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