The Dynamic Effects of Works Councils on Labour Productivity: First Evidence from Panel Data
Steffen Müller, Jens Stegmaier
British Journal of Industrial Relations,
Nr. 2,
2017
Abstract
We estimate dynamic effects of works councils on labour productivity using newly available information from West German establishment panel data. Conditioning on plant fixed effects and control variables, we find negative productivity effects during the first five years after council introduction but a steady and substantial increase in the councils’ productivity effect thereafter. Our findings support a causal interpretation for the positive correlation between council existence and plant productivity that has been frequently reported in previous studies.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Attracting Early-Stage Investors: Evidence From a Randomized Field Experiment
Shai B. Bernstein, Arthur Korteweg, Kevin Laws
Journal of Finance,
Nr. 2,
2017
Abstract
This paper uses a randomized field experiment to identify which start-up characteristics are most important to investors in early-stage firms. The experiment randomizes investors? information sets of fund-raising start-ups. The average investor responds strongly to information about the founding team, but not to firm traction or existing lead investors. We provide evidence that the team is not merely a signal of quality, and that investing based on team information is a rational strategy. Together, our results indicate that information about human assets is causally important for the funding of early-stage firms and hence for entrepreneurial success.
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21.03.2017 • 14/2017
IWH-Konjunkturbarometer Ostdeutschland: Moderater Anstieg der Produktion im Winterhalbjahr 2016/2017
Auf die Stagnation im dritten Quartal des vergangenen Jahres folgte in den Monaten Oktober bis Dezember ein moderater Zuwachs der Produktion. Das Bruttoinlandsprodukt ist in den Neuen Bundesländern – saisonbereinigt nach dem Berliner Verfahren – um 0,3% gestiegen (Alte Bundesländer: 0,4%). Die Steigerung beruht auf einem Wechsel der Auftriebskräfte: Das Produzierende Gewerbe legte nach dem Minus an Wertschöpfung im Sommer wieder zu, und das Plus der Dienstleister hat sich erhöht.
Udo Ludwig
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Banking Globalization, Local Lending, and Labor Market Effects: Micro-level Evidence from Brazil
Felix Noth, Matias Ossandon Busch
Abstract
This paper estimates the effect of a foreign funding shock to banks in Brazil after the collapse of Lehman Brothers in September 2008. Our robust results show that bank-specific shocks to Brazilian parent banks negatively affected lending by their individual branches and trigger real economic consequences in Brazilian municipalities: More affected regions face restrictions in aggregated credit and show weaker labor market performance in the aftermath which documents the transmission mechanism of the global financial crisis to local labor markets in emerging countries. The results represent relevant information for regulators concerned with the real effects of cross-border liquidity shocks.
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Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Why They Keep Missing: An Empirical Investigation of Rational Inattention of Rating Agencies
Gregor von Schweinitz, Makram El-Shagi
Abstract
Sovereign ratings have frequently failed to predict crises. However, the literature has focused on explaining rating levels rather than the timing of rating announcements. We fill this gap by explicitly differentiating between a decision to assess a country and the actual rating decision. Thereby, we account for rational inattention of rating agencies that exists due to costs of reassessment. Exploiting information of rating announcements, we show that (i) the proposed differentiation significantly improves estimation; (ii) rating agencies consider many nonfundamental factors in their reassessment decision; (iii) markets only react to ratings providing new information; (iv) developed countries get preferential treatment.
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05.01.2017 • 3/2017
Sekretariat des Forschungsnetzwerks CompNet künftig am IWH beheimatet
Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) hat das Sekretariat des Competitiveness Research Network CompNet übernommen, einem internationalen Netzwerk führender Wissenschaftler und Wissenschaftlerinnen sowie Fachleute, die erstklassige Forschung und Politikberatung auf den Gebieten der Wettbewerbsfähigkeit und Produktivität betreiben.
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21.12.2016 • 52/2016
Wirtschaftliche Aussichten Ostdeutschlands für 2017
Im Jahr 2017 wird das Bruttoinlandsprodukt in Ost- wie in Westdeutschland mit 1,3% im Gleichschritt expandieren. Der Wachstumsvorsprung der ostdeutschen Wirtschaft (einschließlich Berlin) in den beiden Vorjahren ist bereits im Jahr 2016 geschmolzen, sodass der wirtschaftliche Aufholprozess Ostdeutschlands insgesamt erneut stagniert.
Udo Ludwig
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14.12.2016 • 50/2016
Konjunktur aktuell: Deutsche Wirtschaft weiter von Konsum und Bau beflügelt
Die deutsche Konjunktur bleibt aufgrund der starken Binnennachfrage recht kräftig. Im Jahr 2017 wird die Zuwachsrate des Bruttoinlandsprodukts nach der neuen IWH-Prognose 1,3% betragen. Sie fällt damit etwa einen halben Prozentpunkt geringer aus als im Jahr 2016. „Dies liegt an einer geringeren Anzahl an Arbeitstagen und an einem negativen Wachstumsbeitrag des Außenhandels“, so Oliver Holtemöller, Leiter der Abteilung Makroökonomik und Vizepräsident des IWH. Die Verbraucherpreisinflation bleibt mit 1,3% mäßig. Die Arbeitslosigkeit nimmt wohl etwas zu – dazu trägt bei, dass die Integration Geflüchteter in den Arbeitsmarkt langwierig ist.
Oliver Holtemöller
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