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Year
Refresh
Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers, No. 6, 2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Globalization, Productivity Growth, and Labor Compensation
Christian Dreger, Marius Fourné, Oliver Holtemöller
IWH Discussion Papers, No. 7, 2022
Abstract
We analyze how changes in international trade integration affect productivity and the functional income distribution. To account for endogeneity, we construct a leaveout measure for international trade integration for country-industry pairs using international input-output tables. Our findings corroborate on the country-industry level that international trade integration increases productivity. Moreover, we show that both trade in intermediate inputs and trade in value added is associated with lower labor shares in emerging markets. For advanced countries, we document a positive effect of trade in value added on the labor share of income. Further, we show that the effects on productivity and labor share are heterogeneous across different sectors. Finally, we discuss the implications of our results for a possible throwback in international trade integration due to experiences from recent crises.
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Exchange Rates and the Information Channel of Monetary Policy
Oliver Holtemöller, Alexander Kriwoluzky, Boreum Kwak
IWH Discussion Papers, No. 17, 2020
Abstract
We disentangle the effects of monetary policy announcements on real economic variables into an interest rate shock component and a central bank information shock component. We identify both components using changes in interest rate futures and in exchange rates around monetary policy announcements. While the volatility of interest rate surprises declines around the Great Recession, the volatility of exchange rate changes increases. Making use of this heteroskedasticity, we estimate that a contractionary interest rate shock appreciates the dollar, increases the excess bond premium, and leads to a decline in prices and output, while a positive information shock appreciates the dollar, decreases prices and the excess bond premium, and increases output.
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Integrated Assessment of Epidemic and Economic Dynamics
Oliver Holtemöller
IWH Discussion Papers, No. 4, 2020
Abstract
In this paper, a simple integrated model for the joint assessment of epidemic and economic dynamics is developed. The model can be used to discuss mitigation policies like shutdown and testing. Since epidemics cause output losses due to a reduced labor force, temporarily reducing economic activity in order to prevent future losses can be welfare enhancing. Mitigation policies help to keep the number of people requiring intensive medical care below the capacity of the health system. The optimal policy is a mixture of temporary partial shutdown and intensive testing and isolation of infectious persons for an extended period of time.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
IWH Discussion Papers, No. 24, 2019
published in:
Empirical Economics
Abstract
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
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Power Generation and Structural Change: Quantifying Economic Effects of the Coal Phase-out in Germany
Christoph Schult, Katja Heinisch, Oliver Holtemöller
IWH Discussion Papers, No. 16, 2019
published in:
Energy Economics
Abstract
In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. We study potential economic consequences of a coal phase-out in Germany, using a multi-region dynamic general equilibrium model. Four regional phase-out scenarios before the end of 2040 are simulated. We find that the worst case phase-out scenario would lead to an increase in the aggregate unemployment rate by about 0.13 [0.09 minimum; 0.18 maximum] percentage points from 2020 to 2040. The effect on regional unemployment rates varies between 0.18 [0.13; 0.22] and 1.07 [1.00; 1.13] percentage points in the lignite regions. A faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,100 [6,300; 12,300] people by 2040. A coal phase-out until 2035 is not worse in terms of welfare, consumption and employment compared to a coal-exit until 2040
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(Since When) Are East and West German Business Cycles Synchronised?
Stefan Gießler, Katja Heinisch, Oliver Holtemöller
IWH Discussion Papers, No. 7, 2019
published in:
Jahrbücher für Nationalökonomie und Statistik
Abstract
This paper analyses whether and since when East and West German business cycles are synchronised. We investigate real GDP, unemployment rates and survey data as business cycle indicators and employ several empirical methods. Overall, we find that the regional business cycles have synchronised over time. GDP-based indicators and survey data show a higher degree of synchronisation than the indicators based on unemployment rates. However, recently synchronisation among East and West German business cycles seems to become weaker, in line with international evidence.
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Potential International Employment Effects of a Hard Brexit
Hans-Ulrich Brautzsch, Oliver Holtemöller
IWH Discussion Papers, No. 4, 2019
published in:
Journal of Economic Structures
Abstract
We use the World Input Output Database (WIOD) to estimate the potential employment effects of a hard Brexit in 43 countries. In line with other studies we assume that imports from the European Union (EU) to the UK will decline by 25% after a hard Brexit. The absolute effects are largest in big EU countries which have close trade relationships with the UK like Germany and France. However, there are also large countries outside the EU which are heavily affected via global value chains like China, for example. The relative effects (in percent of total employment) are largest in Malta and Ireland. UK employment will also be affected via intermediate input production. Within Germany, the motor vehicle industry and in particular the “Autostadt” Wolfsburg are most affected.
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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Oliver Holtemöller, Christoph Schult
IWH Discussion Papers, No. 15, 2018
published in:
Historical Social Research
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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The Economic Development of Saxony-Anhalt since 1990
Oliver Holtemöller, Axel Lindner
IWH Discussion Papers, No. 6, 2018
published in:
R. Stöcker, M. Reichel (Hrsg.), Sachsen-Anhalt – eine politische Landeskunde. Halle (Saale): Mitteldeutscher Verlag
Abstract
This article describes the economic development of Saxony-Anhalt since 1990 in the context of the East German transition from a centrally planned economy to a market economy. In the early 1990s the economy of Saxony-Anhalt caught up quickly with West Germany, mainly because the capital stock was modernized and expanded. Convergence, however, has almost come to a halt for some time now and gross domestic product per employed person is still about 20% below the West German level. The challenge for economic policy is to further the catching-up process by fostering research and innovation and improving the skills of the workforce.
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