IWH-Subventionsdatenbank: Mikrodaten zu Programmen direkter Unternehmenssubventionen in Deutschland. Datendokumentation
Matthias Brachert, Alexander Giebler, Gerhard Heimpold, Mirko Titze, Dana Urban-Thielicke
IWH Technical Reports,
Nr. 2,
2018
Abstract
Nahezu alle entwickelten Volkswirtschaften haben Programme zur Förderung von Projekten in Unternehmen im Rahmen von Industriepolitik eingeführt. Allerdings ist sehr wenig darüber bekannt, welche Programme eigentlich genau zur Anwendung kommen, welche finanziellen Mittel dafür aufgebracht werden und ob die Programme in der Art und Weise wirken, wie sie ursprünglich intendiert waren. Evaluationsstudien, die auf kausalen Untersuchungsdesigns basieren, können einen wertvollen Beitrag zur Beantwortung der Frage leisten, ob ein Programm tatsächlich Wirkungen entfaltet und welcher der verschiedenen Ansätze am erfolgversprechendsten ist. Dieser Datenreport stellt die vom Zentrum für evidenzbasierte Politikberatung am Leibniz-Institut für Wirtschaftsforschung Halle (IWH-CEP) entwickelte IWH-Subventionsdatenbank vor. Die Datenbank enthält (Stand November 2018) zehn Programme industriepolitischer Maßnahmen, die in Deutschland zur Anwendung kamen bzw. kommen. Der Report geht auf die Förderregeln dieser Programme ein und beschreibt die Prozeduren der Zusammenführung zu einer Masterdatei. Ferner diskutiert der Report Möglichkeiten der Verknüpfung der Förderdaten mit externen Unternehmensdatensätzen, die eine zwingende Voraussetzung für die Durchführung von Wirkungsanalysen darstellen, da die administrativen Förderdaten nicht alle Informationen enthalten, die für kausale Untersuchungsdesigns notwendig sind.
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The Privatisation Activities of the Treuhandanstalt and the Transformation of the East German Corporate Landscape: A New Dataset for First Explorations
Alexander Giebler, Michael Wyrwich
IWH Technical Reports,
Nr. 1,
2018
Abstract
Even nearly 30 years after the fall of the Berlin Wall, the privatisation and transformation of East Germany's business landscape is controversially discussed in the media and politics. The privatisation process led to enormous structural changes, which were associated with massive job losses. In particular, the stagnating regional development of East Germany is often blamed on the “long shadow” of the privatisation activities of the Treuhandanstalt (THA). From a scientific perspective, however, there are hardly any contributions dealing with the effects of privatisation activities. The IWH-Treuhand Privatisation Micro Database introduced in this technical report is novel as such that it provides comprehensive information on employment and turnover figures for formerly state-owned enterprises for the early 1990s.
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The Role of Auditors in Merger and Acquisition Completion Time
Salim Chahine, Iftekhar Hasan, Mohamad Mazboudi
International Journal of Auditing,
Nr. 3,
2018
Abstract
Using a sample of 664 merger and acquisition (M&A) transactions and office‐level audit data, this study investigates the role of auditors in M&A completion time. We find that having a common auditor for both acquirer and target firms in M&A transactions increases the completion time of such transactions because the exposure to higher litigation and reputational costs outweighs the information‐access advantage of common auditors. However, auditors' past experience in M&A transactions helps reduce completion time and costs. These results are robust to having Big N auditors at both ends as well as to various acquirer, target, and deal characteristics.
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Business Dynamics of Innovating Firms: Linking U.S. Patents with Administrative Data on Workers and Firms
Stuart Graham, Cheryl Grim, Tariqul Islam, Alan Marco, Javier Miranda
Journal of Economics and Management Strategy,
Nr. 3,
2018
Abstract
This paper discusses the construction of a new longitudinal database tracking inventors and patent-owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find that patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. Although manufacturing firms are more likely to patent than firms in other sectors, we find that most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.
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Lame-Duck CEOs
Marc Gabarro, Sebastian Gryglewicz, Shuo Xia
SSRN Working Papers,
2018
Abstract
We examine the relationship between protracted CEO successions and stock returns. In protracted successions, an incumbent CEO announces his or her resignation without a known successor, so the incumbent CEO becomes a “lame duck.” We find that 31% of CEO successions from 2005 to 2014 in the S&P 1500 are protracted, during which the incumbent CEO is a lame duck for an average period of about 6 months. During the reign of lame duck CEOs, firms generate an annual four-factor alpha of 11% and exhibit significant positive earnings surprises. Investors’ under-reaction to no news on new CEO information and underestimation of the positive effects of the tournament among the CEO candidates drive our results.
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Information Feedback in Temporal Networks as a Predictor of Market Crashes
Stjepan Begušić, Zvonko Kostanjčar, Dejan Kovač, Boris Podobnik, H. Eugene Stanley
Complexity,
September
2018
Abstract
In complex systems, statistical dependencies between individual components are often considered one of the key mechanisms which drive the system dynamics observed on a macroscopic level. In this paper, we study cross-sectional time-lagged dependencies in financial markets, quantified by nonparametric measures from information theory, and estimate directed temporal dependency networks in financial markets. We examine the emergence of strongly connected feedback components in the estimated networks, and hypothesize that the existence of information feedback in financial networks induces strong spatiotemporal spillover effects and thus indicates systemic risk. We obtain empirical results by applying our methodology on stock market and real estate data, and demonstrate that the estimated networks exhibit strongly connected components around periods of high volatility in the markets. To further study this phenomenon, we construct a systemic risk indicator based on the proposed approach, and show that it can be used to predict future market distress. Results from both the stock market and real estate data suggest that our approach can be useful in obtaining early-warning signals for crashes in financial markets.
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The Exchange Rate, Asymmetric Shocks and Asymmetric Distributions
Calin-Vlad Demian, Filippo di Mauro
International Economics,
August
2018
Abstract
The elasticity of exports to exchange rate fluctuations has been the subject of a large body of literature without a clear consensus emerging. Using a novel sector-level dataset based on firm level information, we show that exchange rate elasticities double in size when country and sector specific firm productivity distributions are considered in the empirical estimations. In addition, exports appear to be sensitive to appreciation episodes, but rather unaffected by depreciations. Finally, only rather large changes in the exchange rate appear to matter. The paper intends to contribute to the debate on the effectiveness and impacts of exchange rate movements, which features highly in the policy agenda.
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Market Power and Risk: Evidence from the U.S. Mortgage Market
Carola Müller, Felix Noth
Economics Letters,
2018
Abstract
We use mortgage loan application data of the Home Mortgage Disclosure Act (HMDA) to shed light on the role of banks’ market power on their presumably insufficient risk screening activities in the U.S. mortgage market in the pre-crisis era. We find that banks with higher market power protect their charter value. The effect is stronger for banks that have more information about local markets.
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25.05.2018 • 12/2018
Der Kampf der Arbeitgeber und Arbeitgeberinnen gegen Betriebsräte
Deutschland wählt. Dieses Mal aber geht es nicht um Politiker, sondern um die Betriebsräte. Das lohnt sich: Viele Untersuchungen zeigen, dass Betriebsräte insgesamt positive Effekte auf Produktivität, Löhne und Gewinne haben. Trotzdem leisten Arbeitgeber und Arbeitgeberinnen zum Teil großen Widerstand gegen die betriebliche Mitbestimmung. Eine häufig benutzte Begründung ist, dass Mitbestimmung die unternehmerische Freiheit einschränkt und dass Arbeitgeber bereit sind, positive Effekte der Mitbestimmung im Gegenzug für größere Handlungsspielräume zu opfern. Steffen Müller vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) liefert jetzt eine alternative ökonomische Begründung für die ablehnende Haltung: Arbeitgeberverbände werden von mittelständischen Unternehmen dominiert, und in diesen hat der Betriebsrat – im Gegensatz zu großen Betrieben – oft keine positiven ökonomischen Folgen.
Steffen Müller
Lesen
Urban Occupational Structures as Information Networks: The Effect on Network Density of Increasing Number of Occupations
Shade T. Shutters, José Lobo, Rachata Muneepeerakul, Deborah Strumsky, Charlotta Mellander, Matthias Brachert, Teresa Farinha, Luis M. A. Bettencourt
Plos One,
im Erscheinen
Abstract
Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.
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