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Upturn Loses Momentum – World Economic Climate Grows Harsher
Roland Döhrn, Oliver Holtemöller, Stefan Kooths, Claus Michelsen, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2018
Abstract
The economic upturn in Germany is entering its sixth year but is losing momentum due to both demand and supply side factors. On the one hand, Germany’s key sales markets have weakened in line with the slowdown in world trade. On the other hand, a growing number of firms face production side bottlenecks, especially in terms of labour and sourcing intermediate goods. This coincides with problems in the automotive industry related to the introduction of the new World Harmonised Light Vehicle Test Procedure (WLTP), which has affected gross domestic product (GDP) growth due to the branch’s economic weight. These adjustment problems, however, should be overcome over the course of the winter. Fiscal stimuli will also take effect as of the beginning of 2019. After 1.7 % growth this year, GDP will increase at rates of 1.9 % in 2019 and 1.8 % in 2020.
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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Oliver Holtemöller, Christoph Schult
Abstract
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.
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On DSGE Models
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Journal of Economic Perspectives,
No. 3,
2018
Abstract
The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Heinisch, Rolf Scheufele
Empirical Economics,
No. 2,
2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-selection and Competition
Reint E. Gropp, Andre Guettler
Journal of Banking & Finance,
No. 2,
2018
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a valuable signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their observed soft information is positive or negative. Competition affects the investment in learning the soft information from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect.
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The Effects of Fiscal Policy in an Estimated DSGE Model – The Case of the German Stimulus Packages During the Great Recession
Andrej Drygalla, Oliver Holtemöller, Konstantin Kiesel
Abstract
In this paper, we analyse the effects of the stimulus packages adopted by the German government during the Great Recession. We employ a standard medium-scale dynamic stochastic general equilibrium (DSGE) model extended by non-optimising households and a detailed fiscal sector. In particular, the dynamics of spending and revenue variables are modeled as feedback rules with respect to the cyclical component of output. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, transfers and changes in labour tax rates including social security contributions prevented a sharper and prolonged decline of German output at the beginning of the Great Recession, suggesting a timely response of fiscal policy. The overall effects, however, are small when compared to other domestic and international shocks that contributed to the economic downturn. Our overall findings are not sensitive to the allowance of fiscal foresight.
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Do We Want These Two to Tango? On Zombie Firms and Stressed Banks in Europe
Manuela Storz, Michael Koetter, Ralph Setzer, Andreas Westphal
ECB Working Paper,
2017
Abstract
We show that the speed and type of corporate deleveraging depends on the interaction between corporate and financial sector health. Based on granular bank-firm data pertaining to small and medium-sized enterprises (SME) from five stressed and two non-stressed euro area economies, we show that “zombie” firms generally continued to lever up during the 2010–2014 period. Whereas relationships with stressed banks reduce SME leverage on average, we also show that zombie firms that are tied to weak banks in euro area periphery countries increase their indebtedness even further. Sustainable economic recovery therefore requires both: deleveraging of banks and firms.
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Expansion Continues to Be Strong
Roland Döhrn, Ferdinand Fichtner, Oliver Holtemöller, Stefan Kooths, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2017
Abstract
The business cycle upswing in Germany has gained strength and breadth. In addition to private consumption, the expansion is now also supported by investment and foreign trade. The latter benefits from growing exports to the euro area, where the economy is gaining momentum. Since the euro area upswing rests on solid fundamentals, the ECB should be able to start tapering without putting the economy at risk.
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