The Great Risk Shift? Income Volatility in an International Perspective
Claudia M. Buch
CESifo Working Paper No. 2465,
2008
Abstract
Weakening bargaining power of unions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This paper documents and explains changes in income volatility. Using a theoretical framework which builds distribution risk into a real business cycle model, hypotheses on the determinants of the relative volatility of capital and labor are derived. The model is tested using industry-level data. The data cover 11 industrialized countries, 22 manufacturing and services industries, and a maximum of 35 years. The paper has four main findings. First, the unconditional volatility of labor and capital incomes has declined, reflecting the decline in macroeconomic volatility. Second, the idiosyncratic component of income volatility has hardly changed over time. Third, crosssectional heterogeneity in the evolution of relative income volatilities is substantial. If anything, the labor incomes of high- and low-skilled workers have become more volatile in relative terms. Fourth, income volatility is related to variables measuring the bargaining power of workers. Trade openness has no significant impact.
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Forecasting Currency Crises: Which Methods signaled the South African Crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
South African Journal of Economics,
2008
Abstract
In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out-of-sample performance. We choose the latest crisis of June 2006 to conduct an out-of-sample experiment. The results show that the signals approach was not able to forecast the out-of-sample crisis correctly; the probit approach was able
to predict the crisis but only with models, that were based on raw data. The Markov-regime- switching approach predicts the out-of-sample crisis well. However, the results are not straightforward. In-sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.
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Exchange Rates and FDI: Goods versus Capital Market Frictions
Claudia M. Buch, J. Kleinert
World Economy,
im Erscheinen
Abstract
Changes in exchange rates affect countries through their impact on cross-border activities such as trade and foreign direct investment (FDI). With increasing activities of multinational firms, the FDI channel is likely to gain in importance. Economic theory provides two main explanations why changes in exchange rates can affect FDI. According to the first explanation, FDI reacts to exchange rate changes if there are information frictions on capital markets and if investment depends on firms’ net worth (capital market friction hypothesis). According to the second explanation, FDI reacts to exchange rate changes if output and factor markets are segmented, and if firm-specific assets are important (goods market friction hypothesis). We provide a unified theoretical framework of these two explanations. We analyse the implications of the model empirically using a dataset based on detailed German firm-level data. We find greater support for the goods market than for the capital market friction hypothesis.
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Softening Competition by Inducing Switching in Credit Markets: A Correction
Jan Bouckaert, Hans Degryse, Jorge Fernández-Ruiz, Miguel García-Cestona
Journal of Industrial Economics,
Nr. 3,
2008
Abstract
In a recent article in this journal, Bouckaert and Degryse [2004] (denoted B&D) present a model in which banks strategically commit to disclosing borrower information. In this note, we point out an error in B&D and show that, although banks' information disclosure may indeed arise in equilibrium, it only does so if adverse selection is not too harsh.
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Monetary Policy and Financial (In)stability: An Integrated Micro–Macro Approach
Ferre De Graeve, Thomas Kick, Michael Koetter
Journal of Financial Stability,
Nr. 3,
2008
Abstract
Evidence on central banks’ twin objective, monetary and financial stability, is scarce. We suggest an integrated micro–macro approach with two core virtues. First, we measure financial stability directly at the bank level as the probability of distress. Second, we integrate a microeconomic hazard model for bank distress and a standard macroeconomic model. The advantage of this approach is to incorporate micro information, to allow for non-linearities and to permit general feedback effects between financial distress and the real economy. We base the analysis on German bank and macro data between 1995 and 2004. Our results confirm the existence of a trade-off between monetary and financial stability. An unexpected tightening of monetary policy increases the probability of distress. This effect disappears when neglecting microeffects and non-linearities, underlining their importance. Distress responses are largest for small cooperative banks, weak distress events, and at times when capitalization is low. An important policy implication is that the separation of financial supervision and monetary policy requires close collaboration among members in the European System of Central Banks and national bank supervisors.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
Nr. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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A note on GMM-estimation of probit models with endogenous regressors
Joachim Wilde
Statistical Papers,
Nr. 3,
2008
Abstract
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The Stability of Bank Efficiency Rankings when Risk Preferences and Objectives are Different
Michael Koetter
European Journal of Finance,
Nr. 2,
2008
Abstract
We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.
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Deeper, Wider and More Competitive? Monetary Integration, Eastern Enlargement and Competitiveness in the European Union
Gianmarco Ottaviano, Daria Taglioni, Filippo di Mauro
ECB Working Paper,
Nr. 847,
2008
Abstract
What determines a country’s ability to compete in international markets? What fosters the global competitiveness of its firms? And in the European context, have key elements of the EU strategy such as EMU and enlargement helped or hindered domestic firms’ competitiveness in local and global markets? We address these questions by calibrating and simulating a conceptual framework that, based on Melitz and Ottaviano (2005), predicts that tougher and more transparent international competition forces less productive firms out the market, thereby increasing average productivity as well as reducing average prices and mark-ups. The model also predicts a parallel reduction of price dispersion within sectors. Our conceptual framework allows us to disentangle the effects of technology and freeness of entry from those of accessibility. On the one hand, by controlling for the impact of trade frictions, we are able to construct an index of ‘revealed competitiveness’, which would drive the relative performance of countries in an ideal world in which all faced the same barriers to international transactions. On the other hand, by focusing on the role of accessibility while keeping ‘revealed competitiveness’ as given, we are able to evaluate the impacts of EMU and enlargement on the competitiveness of European firms. We find that EMU positively affects the competitiveness of firms located in participating economies. Enlargement has, instead, two contrasting effects. It improves the accessibility of EU members but it also increases substantially the relative importance of unproductive competitors from Eastern Europe. JEL Classification: F12, R13.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
Nr. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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