Structural Stability of the Research & Development Sector in European Economies Despite the Economic Crisis
Jutta Günther, Maria Kristalova, Udo Ludwig
Journal of Evolutionary Economics,
No. 5,
2019
Abstract
When an external shock such as the economic crisis in 2008/2009 occurs, the interconnectedness of sectors can be affected. This paper investigates whether the R&D sector experienced changes in its sectoral integration through the recession. Based on an input-output analysis, it can be shown that the linkages of the R&D sector with other sectors remain stable. In some countries, the inter-sectoral integration becomes even stronger. Policy makers can be encouraged to use public R&D spending as a means of fiscal policy against an economic crisis.
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The Impact of Innovation and Innovation Subsidies on Economic Development in German Regions
Uwe Cantner, Eva Dettmann, Alexander Giebler, Jutta Günther, Maria Kristalova
Regional Studies,
No. 9,
2019
Abstract
Public innovation subsidies in a regional environment are expected to unfold a positive economic impact over time. The focus of this paper is on an assessment of the long-run impact of innovation and innovation subsidies in German regions. This is scrutinized by an estimation approach combining panel model and time-series characteristics and using regional data for the years 1980–2014. The results show that innovation and innovation subsidies in the long run have a positive impact on the economic development of regions in Germany. This supports a long-term strategy for regional and innovation policy.
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Predicting Free-riding in a Public Goods Game – Analysis of Content and Dynamic Facial Expressions in Face-to-Face Communication
Dmitri Bershadskyy, Ehsan Othman, Frerk Saxen
IWH Discussion Papers,
No. 9,
2019
Abstract
This paper illustrates how audio-visual data from pre-play face-to-face communication can be used to identify groups which contain free-riders in a public goods experiment. It focuses on two channels over which face-to-face communication influences contributions to a public good. Firstly, the contents of the face-to-face communication are investigated by categorising specific strategic information and using simple meta-data. Secondly, a machine-learning approach to analyse facial expressions of the subjects during their communications is implemented. These approaches constitute the first of their kind, analysing content and facial expressions in face-to-face communication aiming to predict the behaviour of the subjects in a public goods game. The analysis shows that verbally mentioning to fully contribute to the public good until the very end and communicating through facial clues reduce the commonly observed end-game behaviour. The length of the face-to-face communication quantified in number of words is further a good measure to predict cooperation behaviour towards the end of the game. The obtained findings provide first insights how a priori available information can be utilised to predict free-riding behaviour in public goods games.
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Vertical Grants and Local Public Efficiency
Ivo Bischoff, Peter Bönisch, Peter Haug, Annette Illy
Public Finance Review,
No. 3,
2019
Abstract
The existing empirical literature on the impact of vertical grants on local public-sector efficiency yields mixed results. Given the fact that vertical financial equalization systems often reduce differences in fiscal capacity, we argue that empirical studies based on cross-sectional data may yield a positive relationship between grants and efficiency of public service production even when the underlying causal effect is not. We provide a simple illustrative theoretical model to show the logic of our argument and illustrate its relevance by an empirical case study for the German state of Saxony-Anhalt. We show that our main argument of an inference-disturbing effect applies to those existing studies that are more optimistic about the impact of vertical grants. Finally, we argue that it may disturb the inference drawn from studies in a number of other countries where vertical grants—intended or not—concentrate in fiscally weak municipalities.
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Konjunktur aktuell: Deutsche Konjunktur nimmt nur langsam wieder Fahrt auf
Konjunktur aktuell,
No. 1,
2019
Abstract
Im Winterhalbjahr 2018/2019 hat sich die Weltkonjunktur deutlich abgekühlt. Allerdings divergiert die Lage zwischen den Regionen erheblich: Der Aufschwung in den USA hat nur wenig an Fahrt verloren, im Euroraum ist er dagegen zum Erliegen gekommen. Auch in China ist die Wirtschaft ins Stocken geraten. Ein wichtiger Grund für die weltwirtschaftliche Schwächephase dürfte in der Unsicherheit darüber liegen, welche Wendung die Streitigkeiten der US-Regierung mit China und der Europäischen Union nehmen. Zudem sind alle Fragen um den Brexit weiterhin offen. In Deutschland hat die gesamtwirtschaftliche Produktion im Schlussquartal 2018 stagniert, nach einem Rückgang um 0,2% im Quartal zuvor. Zur Produktionsschwäche trugen mit dem neuen Abgas-Prüfverfahren für Automobile und dem niedrigen Rheinwasser zwei Sondereffekte bei. Mehr ins Gewicht fällt, dass sich die Auslandsnachfrage, vor allem aus den EU-Partnerländern, verlangsamt hat. Die Unternehmen bauen dennoch weiter Beschäftigung auf. Offensichtlich wird die gegenwärtige Schwächephase vielfach als vorübergehend eingeschätzt. Die Folge ist allerdings ein deutlicher Anstieg der Lohnstückkosten. Auch für das erste Halbjahr 2019 ist wenig mehr als Stagnation zu erwarten. Dennoch dürfte der private Konsum robust expandieren, nicht zuletzt wegen steigender Reallöhne. Zudem stützen die niedrigen Zinsen und eine expansive Finanzpolitik. Das reale Bruttoinlandsprodukt liegt nach vorliegender Prognose im Jahr 2019 um 0,5% höher als im Vorjahr, im Jahr 2020 steigt die Rate auch wegen der höheren Arbeitstagezahl auf 2,0%. Die ostdeutsche Wirtschaft expandiert in diesem Jahr um 0,7% und im Jahr 2020 um 1,7%.
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IWH-Tarif-Check: Kräftige Reale Netto-Tariflohnzuwächse für Beschäftigte im Öffentlichen Dienst im Jahr 2019: Lohnspreizung im Öffentlichen Dienst der Länder nimmt ab
Oliver Holtemöller, Birgit Schultz
IWH-Tarif-Check,
No. 1,
2019
Abstract
Die Tariflöhne steigen im Öffentlichen Dienst der Länder rückwirkend zum 1. Januar 2019 um 3,01%, wobei die Beschäftigten mindestens 100 Euro monatlich mehr verdienen sollen. Ein Jahr später gibt es dann nochmals einen Zuwachs um 3,12% bzw. mindestens 90 Euro monatlich und 1,29% bzw. mindestens 50 Euro im Jahr 2021. Der Tarifvertrag läuft bis Ende September 2021. Die jährliche Sonderzahlung (Weihnachtsgeld) wird auf dem Niveau des Jahres 2018 eingefroren.
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04.03.2019 • 6/2019
New IWH publication takes stock: “United country – three decades after the Wall came down”
How is Germany’s economy faring 30 years after the fall of the Berlin Wall? A new publication by the Halle Institute for Economic Research (IWH) uses illustrative maps and graphs to show how the Federal Republic has developed compared to other countries and how economic unification has progressed. The publication presents many new findings, including on productivity differences between east and west, urban and rural development, as well as the availability of skilled labour.
Gerhard Heimpold
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
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For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?
Katja Heinisch, Axel Lindner
Applied Economics Letters,
No. 3,
2019
Abstract
This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the durability of IMF forecasts, looking at how much time has to pass so that IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time data set for GDP and for indicators, we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts as soon as the publication of the IMF’s Outlook is only a few months old. In particular, there is an obvious gain using leading indicators from January to March for the forecast of the current year.
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