14.10.2020 • 22/2020
Economic slump in East Germany not as severe as in Germany as a whole ‒ Implications of the Joint Economic Forecast and new data for East Germany
The German economy started recovering quickly after the drastic pandemic-related slump in spring 2020. The recovery, however, loses much of its momentum in the second half of the year. The Joint Economic Forecast predicts that production levels seen before the crisis will not be reached again until the second half of 2021. In principle, the East German economy is following this pattern, although the economic slump is likely to be somewhat milder.
Oliver Holtemöller
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16.09.2020 • 18/2020
Economy recovers from the shutdown – but a quick return to pre-crisis normality is unlikely
The German economy has bounced back strongly over the summer, recovering a considerable part of the production slump caused by the shutdown in spring. Nevertheless, real gross domestic product in 2020 is likely to contract by 5.7%. In 2021, growth is expected to average 3.2% according to IWH autumn economic forecast. The decline in production in 2020 is likely to be less pronounced in East Germany com¬pared to Germany as a whole.
Oliver Holtemöller
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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
Macroeconomic Dynamics,
No. 6,
2020
Abstract
In this paper, we analyze 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-optimizing 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 components of output, hours worked and private investment. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, and transfers 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 considering fiscal foresight.
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Cross-country Evidence on the Relationship between Regulations and the Development of the Life Insurance Sector
Chrysovalantis Gaganis, Iftekhar Hasan, Fotios Pasiouras
Economic Modelling,
July
2020
Abstract
Using a global sample, this study sketches the impact of insurance regulations on the life insurance sector, revealing a significant negative association between supervisory control on policy conditions of life annuities as well as pension products and the development of the industry. A similar inverse relation is observed between the index of capital requirements and insurance development. These results hold when we control for demographic factors, economic factors, religious inclination, culture, as well as for other relevant regulations. We also find some evidence that while the overall supervisory power does not matter, the ability to intervene at an early stage could have a positive effect on insurance development. Additionally, the impact of some regulations appears to differ between advanced and developing countries.
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16.06.2020 • 9/2020
The economy adapts to the pandemic
In the first half of 2020, the pandemic has exacted a heavy toll on the German economy, causing a slump in production that will not be fully recovered within the next year. According to IWH summer economic forecast, gross domestic product is expected to contract by 5.1% in 2020 and to increase by 3.2% in 2021. The decline in production in Eastern Germany is likely to be less pronounced compared to Germany as a whole and estimated at 3.2% in 2020.
Oliver Holtemöller
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07.05.2020 • 7/2020
Launch of IWH Bankruptcy Update: Number of corporate bankruptcies in Germany constant despite Corona crisis
Despite the Corona outbreak, the number of corporate bankruptcies in Germany so far remains at 2019 levels. This is according to the new IWH Bankruptcy Update provided by the Halle Institute for Economic Research (IWH) on a monthly basis and much earlier than official statistics.
Steffen Müller
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12.03.2020 • 4/2020
Global economy under the spell of the coronavirus epidemic
The epidemic is obstructing the economic recovery in Germany. Foreign demand is falling, private households forgo domestic consumption if it comes with infection risk, and investments are postponed. Assuming that the spread of the disease can be contained in short time, GDP growth in 2020 is expected to be 0.6% according to IWH spring economic forecast. Growth in East Germany is expected to be 0.9% and thus higher than in West Germany. If the number of new infections cannot be decreased in short time, we expect a recession in Germany.
Oliver Holtemöller
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Comparing Financial Transparency between For-profit and Nonprofit Suppliers of Public Goods: Evidence from Microfinance
John W. Goodell, Abhinav Goyal, Iftekhar Hasan
Journal of International Financial Markets, Institutions and Money,
January
2020
Abstract
Previous research finds market financing is favored over relationship financing in environments of better governance, since the transaction costs to investors of vetting asymmetric information are thereby reduced. For industries supplying public goods, for-profits rely on market financing, while nonprofits rely on relationships with donors. This suggests that for-profits will be more inclined than nonprofits to improve financial transparency. We examine the impact of for-profit versus nonprofit status on the financial transparency of firms engaged with supplying public goods. There are relatively few industries that have large number of both for-profit and nonprofit firms across countries. However, the microfinance industry provides the opportunity of a large number of both for-profit and nonprofit firms in relatively equal numbers, across a wide array of countries. Consistent with our prediction, we find that financial transparency is positively associated with a for-profit status. Results will be of broad interest both to scholars interested in the roles of transparency and transaction costs on market versus relational financing; as well as to policy makers interested in the impact of for-profit on the supply of public goods, and on the microfinance industry in particular.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Empirical Economics,
No. 1,
2020
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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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
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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