Democracy and Credit
Manthos D. Delis, Iftekhar Hasan, Steven Ongena
Journal of Financial Economics,
No. 2,
2020
Abstract
Does democratization reduce the cost of credit? Using global syndicated loan data from 1984 to 2014, we find that democratization has a sizable negative effect on loan spreads: a 1-point increase in the zero-to-ten Polity IV index of democracy shaves at least 19 basis points off spreads, but likely more. Reversals to autocracy hike spreads more strongly. Our findings are robust to the comprehensive inclusion of relevant controls, to the instrumentation with regional waves of democratization, and to a battery of other sensitivity tests. We thus highlight the lower cost of loans as one relevant mechanism through which democratization can affect economic development.
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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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Transformation tables for administrative borders in Germany
Transformation tables for administrative borders in Germany The state has the ability...
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flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers,
No. 3,
2020
Abstract
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands and its options on the basis of a publicly accessible data set.
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Managerial Effect or Firm Effect: Evidence from the Private Debt Market
Bill Francis, Iftekhar Hasan, Yun Zhu
Financial Review,
No. 1,
2020
Abstract
This paper provides evidence that the managerial effect is a key determinant of firms’ cost of capital, in the context of private debt contracting. Applying the novel empirical method developed by an earlier study to a large sample that tracks the job movement of top managers, we find that the managerial effect is a critical and significant factor that explains a large part of the variation in loan contract terms more accurately than firm fixed effects. Additional evidence shows that banks “follow” managers when they change jobs and offer loan contracts with preferential terms to their new firms.
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Intangible Capital and Productivity. Firm-level Evidence from German Manufacturing
Wolfhard Kaus, Viktor Slavtchev, Markus Zimmermann
IWH Discussion Papers,
No. 1,
2020
Abstract
We study the importance of intangible capital (R&D, software, patents) for the measurement of productivity using firm-level panel data from German manufacturing. We first document a number of facts on the evolution of intangible investment over time, and its distribution across firms. Aggregate intangible investment increased over time. However, the distribution of intangible investment, even more so than that of physical investment, is heavily right-skewed, with many firms investing nothing or little, and a few firms having very large intensities. Intangible investment is also lumpy. Firms that invest more intensively in intangibles (per capita or as sales share) also tend to be more productive. In a second step, we estimate production functions with and without intangible capital using recent control function approaches to account for the simultaneity of input choice and unobserved productivity shocks. We find a positive output elasticity for research and development (R&D) and, to a lesser extent, software and patent investment. Moreover, the production function estimates show substantial heterogeneity in the output elasticities across industries and firms. While intangible capital has small effects for firms with low intangible intensity, there are strong positive effects for high-intensity firms. Finally, including intangibles in a gross output production function reduces productivity dispersion (measured by the 90-10 decile range) on average by 3%, in some industries as much as nearly 9%.
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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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Labor Market Power and the Distorting Effects of International Trade
Matthias Mertens
International Journal of Industrial Organization,
January
2020
Abstract
This article examines how final product trade with China shapes and interacts with labor market imperfections that create market power in labor markets and prevent an efficient market outcome. I develop a framework for measuring such labor market power distortions in monetary terms and document large degrees of these distortions in Germany's manufacturing sector. Import competition only exerts labor market disciplining effects if firms, rather than employees, possess labor market power. Otherwise, increasing export demand and import competition both fortify existing distortions, which decreases labor market efficiency. This widens the gap between potential and realized output and thus diminishes classical gains from trade.
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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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