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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Is There Monopsonistic Discrimination against Immigrants?
Boris Hirsch, Elke J. Jahn
ILR Review,
Nr. 3,
2015
Abstract
The authors investigate immigrants’ and natives’ labor supply to the firm within an estimation approach based on a dynamic monopsony framework. Applying duration models that account for unobserved worker heterogeneity to a large administrative employer–employee data set for Germany, they find that immigrants supply labor less elastically to firms than do natives. Under monopsonistic wage setting, the estimated elasticity differential predicts a 7.7 log points wage penalty for immigrants thereby accounting for the entire unexplained native–immigrant wage differential of 5.8 to 8.2 log points. When further distinguishing immigrant groups differing in their time spent in the German labor market, their immigration cohort, and their age at entry, the authors find that the observed unexplained wage differential is larger for those groups that show a larger elasticity differential relative to natives. These findings not only suggest that search frictions are a likely cause of employers’ more pronounced monopsony power over their immigrant workers but also imply that employers profit from discriminating against immigrants.
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Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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Intergenerational Transmission of Unemployment - Evidence for German Sons
M. Mäder, Steffen Müller, Caroline Schwientek, Regina T. Riphahn
Jahrbücher für Nationalökonomie und Statistik,
Nr. 4,
2015
Abstract
This paper studies the association between the unemployment experience of fathers and their sons. Based on German survey data that cover the last decades we find significant positive correlations. Using instrumental variables estimation and the Gottschalk (1996) method we investigate to what extent fathers' unemployment is causal for offsprings' employment outcomes. In agreement with most of the small international literature we do not find a positive causal effect for intergenerational unemployment transmission. This outcome is robust to alternative data structures and to tests at the intensive and extensive margin of unemployment.
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The Dynamics of Bank Spreads and Financial Structure
Reint E. Gropp, Christoffer Kok, J.-D. Lichtenberger
Quarterly Journal of Finance,
Nr. 4,
2014
Abstract
This paper investigates the effect of within banking sector competition and competition from financial markets on the dynamics of the transmission from monetary policy rates to retail bank interest rates in the euro area. We use a new dataset that permits analysis for disaggregated bank products. Using a difference-in-difference approach, we test whether development of financial markets and financial innovation speed up the pass through. We find that more developed markets for equity and corporate bonds result in a faster pass-through for those retail bank products directly competing with these markets. More developed markets for securitized assets and for interest rate derivatives also speed up the transmission. Further, we find relatively strong effects of competition within the banking sector across two different measures of competition. Overall, the evidence supports the idea that developed financial markets and competitive banking systems increase the effectiveness of monetary policy.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, Simon Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. We theoretically show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private research and development (R&D). Collecting unique panel data on federal procurement in US states, we find that reshuffling procurement toward high-tech industries has an economically and statistically significant positive effect on private R&D, even after extensively controlling for other R&D determinants. Instrumental-variable estimations support a causal interpretation of our findings.
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Estimating Monetary Policy Rules when the Zero Lower Bound on Nominal Interest Rates is Approached
Konstantin Kiesel, M. H. Wolters
Kiel Working Papers, No. 1898,
2014
Abstract
Monetary policy rule parameters estimated with conventional estimation techniques can be severely biased if the estimation sample includes periods of low interest rates. Nominal interest rates cannot be negative, so that censored regression methods like Tobit estimation have to be used to achieve unbiased estimates. We use IV-Tobit regression to estimate monetary policy responses for Japan, the US and the Euro area. The estimation results show that the bias of conventional estimation methods is sizeable for the inflation response parameter, while it is very small for the output gap response and the interest rate smoothing parameter. We demonstrate how IV-Tobit estimation can be used to study how policy responses change when the zero lower bound is approached. Further, we show how one can use the IV-Tobit approach to distinguish between desired policy responses, that the central bank would implement if there was no zero lower bound, and the actual ones and provide estimates of both.
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IT Use, Productivity, and Market Power in Banking
Michael Koetter, Felix Noth
Journal of Financial Stability,
Nr. 4,
2013
Abstract
Information management is a core process in banking that can resolve information asymmetries and thereby help to mitigate competitive pressure. We test if the use of information technology (IT) contributes to bank output, and how IT-augmented bank productivity relates to differences in market power. Detailed bank-level information on the use of IT reveals a substantial upward bias in bank productivity estimates when ignoring banks’ IT expenditures. IT-augmented bank productivity correlates positively with Lerner markups. A mere increase in IT expenditures, however, reduces markups. Results hold across a range of bank output definitions and productivity estimation methods.
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Has the Euro Increased International Price Elasticities?
Oliver Holtemöller, Götz Zeddies
Empirica,
Nr. 1,
2013
Abstract
The introduction of the Euro has been accompanied by the hope that international competition between EMU member states would increase due to higher price transparency. This paper contributes to the literature by analyzing price elasticities in international trade flows between Germany and France and between Germany and the United Kingdom before and after the introduction of the Euro. Using disaggregated Eurostat trade statistics, we adopt a heterogeneous dynamic panel framework for the estimation of price elasticities. We suggest a Kalman-filter approach to control for unobservable quality changes which otherwise would bias estimates of price elasticities. We divide the complete sample, which ranges from 1995 to 2008, into two sub-samples and show that price elasticities in trade between EMU members did not change substantially after the introduction of the Euro. Hence, we do not find evidence for an increase in international price competition resulting from EMU.
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