Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
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.
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Should I Stay or Should I Go? Bank Productivity and Internationalization Decisions
Claudia M. Buch, C. T. Koch, Michael Koetter
Journal of Banking and Finance,
Nr. 42,
2014
Abstract
Differences in firm-level productivity explain international activities of non-financial firms quite well. We test whether differences in bank productivity determine international activities of banks. Based on a dataset that allows tracking banks across countries and across different modes of foreign entry, we model the ordered probability of maintaining a commercial presence abroad and the volume of banks’ international assets empirically. Our research has three main findings. First, more productive banks are more likely to enter foreign markets in increasingly complex modes. Second, more productive banks also hold larger volumes of foreign assets. Third, higher risk aversion renders entry less likely, but it increases the volume of foreign activities conditional upon entry.
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Forecast Dispersion, Dissenting Votes, and Monetary Policy Preferences of FOMC Members: The Role of Individual Career Characteristics and Political Aspects
Stefan Eichler, Tom Lähner
Public Choice,
Nr. 3,
2014
Abstract
Using data from 1992 to 2001, we study the impact of members’ economic forecasts on the probability of casting dissenting votes in the Federal Open Market Committee (FOMC). Employing standard ordered probit techniques, we find that higher individual inflation and real GDP growth forecasts (relative to the committee’s median) significantly increase the probability of dissenting in favor of tighter monetary policy, whereas higher individual unemployment rate forecasts significantly decrease it. Using interaction models, we find that FOMC members with longer careers in government, industry, academia, non-governmental organizations (NGOs), or on the staff of the Board of Governors are more focused on output stabilization, while FOMC members with longer careers in the financial sector or on the staffs of regional Federal Reserve Banks are more focused on inflation stabilization. We also find evidence that politics matters, with Republican appointees being much more focused on inflation stabilization than Democratic appointees. Moreover, during the entire Clinton administration ‘natural’ monetary policy preferences of Bank presidents and Board members for inflation and output stabilization were more pronounced than under periods covering the administrations of both George H.W. Bush and George W. Bush, respectively.
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Interbank Lending and Distress: Observables, Unobservables, and Network Structure
Ben Craig, Michael Koetter, U. Krüger
Deutsche Bundesbank Discussion Paper, No. 18/2014,
Nr. 18,
2014
Abstract
We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks’ probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.
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Regional House Price Dynamics and Voting Behavior in the FOMC
Stefan Eichler, Tom Lähner
Economic Inquiry,
Nr. 2,
2014
Abstract
This paper examines the impact of house price gaps in Federal Reserve districts on the voting behavior in the Federal Open Market Committee (FOMC) from 1978 to 2010. Applying a random effects ordered probit model, we find that a higher regional house price gap significantly increases (decreases) the probability that this district's representative in the FOMC casts interest rate votes in favor of tighter (easier) monetary policy. In addition, our results suggest that Bank presidents react more sensitively to regional house price developments than Board members do.
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The Social Capital Legacy of Communism-results from the Berlin Wall Experiment
Peter Bönisch, Lutz Schneider
European Journal of Political Economy,
Nr. 32,
2013
Abstract
In this paper we establish a direct link between the communist history, the resulting structure of social capital, and attitudes toward spatial mobility. We argue that the communist regime induced a specific social capital mix that discouraged geographic mobility even after its demise. Theoretically, we integrate two branches of the social capital literature into one more comprehensive framework distinguishing an open type and a closed type of social capital. Using the German Socio-Economic Panel (GSOEP) we take advantage of the natural experiment that separated Germany into two parts after the WWII to identify the causal effect of social capital on mobility. We estimate a three equation ordered probit model and provide strong empirical evidence for our theoretical propositions.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
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, 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.
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FDI and the National Innovation System - Evidence from Central and Eastern Europe
Jutta Günther, Björn Jindra, Johannes Stephan
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper investigates strategic motives, technological activities and determinants of foreign investment enterprises’ embeddedness in post-transition economies (Eastern Germany and selected Central East European countries). The empirical study makes use of the IWH FDI micro database. Results of the descriptive analysis of investment motives show that market access dominates over efficiency seeking and other motives. The majority of investors are technologically active in the region as a whole, but countries differ in terms of performance. The probit model estimations show that firm specific characteristics, among them innovativeness and autonomy from parent company, are important determinants of foreign investment enterprises’ embeddedness.
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Margins of international banking: Is there a productivity pecking order in banking, too?
Claudia M. Buch
Bundesbank Discussion Paper 12/2009,
2009
Abstract
Modern trade theory emphasizes firm-level productivity differentials to explain
the cross-border activities of non-financial firms. This study tests whether a
productivity pecking order also determines international banking activities. Using
a novel dataset that contains all German banks’ international activities, we
estimate the ordered probability of a presence abroad (extensive margin) and the
volume of international assets (intensive margin). Methodologically, we enrich the
conventional Heckman selection model to account for the self-selection of banks
into different modes of foreign activities using an ordered probit. Four main
findings emerge. First, similar to results for non-financial firms, a productivity
pecking order drives bank internationalization. Second, only a few non-financial
firms engage in international trade, but many banks hold international assets, and
only a few large banks engage in foreign direct investment. Third, in addition to
productivity, risk factors matter for international banking. Fourth, gravity-type
variables have an important impact on international banking activities.
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