Is there a Superior Distance Function for Matching in Small Samples?
Eva Dettmann, Claudia Becker, Christian Schmeißer
Abstract
The study contributes to the development of ’standards’ for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary o most former studies, the simulation is strongly based on empirical evaluation ituations. This reality orientation induces the focus on small samples. Furthermore, ariables with different scale levels must be considered explicitly in the matching rocess. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, in the simulation, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametrical scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better
choice for summarising similarities in differently scaled variables compared to the
commonly used measures.
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Determinanten ausländischer FuE-Aktivität in Deutschland und der EU27
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra, Philipp Marek, A. Gumpert
Internationale FuE-Standorte. Studien zum deutschen Innovationssystem Nr. 11-2013,
No. 11,
2013
Abstract
Obwohl es sich grundsätzlich um kein neues Phänomenhandelt, so hat in den letzten beiden Jahrzehnten die Internationalisierung von Forschungund Entwicklung (FuE) deutlich zugenommen. So zeigen z. B. Untersuchungen der OECD, dass die FuE-Ausgaben ausländischer Tochterunternehmen in der Periode zwischen 1995 und2003 doppelt so schnell angestiegen sind wie ihr Umsatz oder die aggregierten Importe des Gastlandes. Dies deutet darauf hin, dass FuE zu den dynamischen Elementen der Globalisierung gehört. Allerdings steht der Grad der FuE-Internationalisierung dem der Produktion oft noch nach, wenn man zumindest unterschiedliche Bereiche des Verarbeitenden Gewerbes in EU und OECD-Ländern betrachtet.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Foresight-Russia,
No. 1,
2014
Abstract
Most research on R&D internationalisation focuses on comparative analysis of location factors at the national level of analysis. Very little work, however, has taken place in this field for the sub-national regional location behavior of multi-national enterprises (MNE). The paper contributes to the existing research by providing evidence on the determinants of foreign technological activities at the sub-national level for Germany, which hosts the largest share of foreign R&D within the EU27 and features the highest cross-regional dispersion of patented research. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Particular attention is paid to the role of local knowledge spillovers, technological specialization and diversification. We differentiate foreign and domestic sources of specialisation and account for region and sector-specific influences. This is the first time that the ‘cross-border-ownership’ principle to measure R&D internationalisation is combined with regionalised patent information.
To verify our findings we develop hypotheses. In particular, we expect and find that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to current empirical work, this effect applies both to foreign as well as domestic sources of specialization, although effects on foreign specialization seem more significant. We expect and find the same for science-industry spillovers. We postulate a negative impact of domestic specialization on foreign technological activities and a strong positive effect from diversificationspillovers, by comparison with specialisation spillovers, but these hypotheses are rejected. We find that the direction of the specialisation effect depends on dominance in the position of domestic firms as well as on the balance of knowledge flows between them and foreign actors.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents (1996-2009)
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Abstract
This paper analyses the determinants of spatial distribution of foreign technological activity across 96 German regions (1996-2009). We identify foreign inventive activity by applying the ‘cross-border-ownership concept’ to transnational patent applications. The descriptive analysis shows that foreign technological activity more than doubled during the observation period with persistent spatial heterogeneity in Germany. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Our results show that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to existing findings this effect applies both to foreign as well as domestic sources of specialisation. We show that the relation between specialisation and foreign technological activity is non-linear and that it is influenced by sectoral heterogeneity. Externalities related to technological diversification attract foreign R&D only into ‘higher order’ regions.
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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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Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings,
No. 5,
2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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Fiscal Policy and Fiscal Fragility: Empirical Evidence from the OECD
Makram El-Shagi, Gregor von Schweinitz
Abstract
In this paper, we use local projections to investigate the impact of consolidation shocks on GDP growth, conditional on the fragility of government finances. Based on a database of fiscal plans in OECD countries, we show that spending shocks are less detrimental than tax-based consolidation. In times of fiscal fragility, our results indicate strongly that governments should consolidate through surprise policy changes rather than announcements of consolidation at a later horizon.
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Klimaschutz und Kohleausstieg: Politische Strategien und Maßnahmen bis 2030 und darüber hinaus
Pao-Yu Oei, Casimir Lorenz, Sophie Schmalz, Hanna Brauers, Philipp Herpich, Christian von Hirschhausen, Claudia Kemfert, Barbara Dröschel, Jan Hildebrand, Juri Horst, Uwe Klann, Patrick Matschoss, Michael Porzig, Irina Rau, Bernhard Wern, Hans-Ulrich Brautzsch, Gerhard Heimpold, Katja Heinisch, Oliver Holtemöller, Christoph Schult, Hauke Hermann, Dirk Heyen, Katja Schumacher, Cornelia Ziehm
Pao-Yu Oei et al., Klimaschutz und Kohleausstieg: Politische Strategien und Maßnahmen bis 2030 und darüber hinaus. Abschlussbericht. Climate Change 27/2019. Dessau-Roßlau: Umweltbundesamt,
2019
published in: Energy
Abstract
Die vorliegende Studie untersucht die ökonomischen Auswirkungen eines durch die Klimaziele der Bundesregierung induzierten Kohleausstiegs in Deutschland. Der Fokus liegt hierbei auf der Braunkohlenwirtschaft – insbesondere in den Braunkohleregionen. Diese werden in einem ersten Schritt räumlich abgegrenzt und beschrieben. Für die weitere Untersuchung bilden energiewirtschaftliche Modellierungen die Grundlage. Diese liefern Ausstiegspfade für die Kohlenutzung, welche sich in den gewählten Kriterien (spezifische Emissionen oder Kraftwerksalter) für die Abschaltungsreihenfolge der Kraftwerke unterscheiden. Darauf aufbauend werden mit Hilfe eines Input-Output-Modells und eines regionalwirtschaftlichen Modells die ökonomischen Effekte des Kohleausstiegs sowohl in den Braunkohleregionen als auch im übrigen Deutschland untersucht. Die Modelle zeigen, dass bei einem frühzeitigen Ausstieg die negativen Effekte des Strukturwandels früher zu Tage treten. Dafür können in diesem Fall jedoch Erholungseffekte laut regionalwirtschaftlichem Modell stärker den negativen Effekten entgegenwirken.
Die Studie untersucht die wirtschaftlichen Chancen in den Braunkohleregionen. Diese bestehen im Grundsatz in einem breiten Spektrum wirtschaftlicher Aktivitäten. Die durchgeführten, exemplarischen Untersuchungen zeigen für alle Braunkohleregionen bedeutende Beschäftigungspotenziale auf. Bereits die aufgezeigten potenziellen Arbeitsplätze in den Bereichen Erneuerbare Energien und Gebäudesanierung können dem Stellenabbau im Zuge des untersuchten Strukturwandels durch den Kohleausstieg entgegenwirken. Abschließend werden flankierende politische Instrumente beschrieben, die die Regionen bei dem bevorstehenden Strukturwandel nutzen und unterstützen können.
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Power Generation and Structural Change: Quantifying Economic Effects of the Coal Phase-out in Germany
Christoph Schult, Katja Heinisch, Oliver Holtemöller
Abstract
In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. We study potential economic consequences of a coal phase-out in Germany, using a multi-region dynamic general equilibrium model. Four regional phase-out scenarios before the end of 2040 are simulated. We find that the worst case phase-out scenario would lead to an increase in the aggregate unemployment rate by about 0.13 [0.09 minimum; 0.18 maximum] percentage points from 2020 to 2040. The effect on regional unemployment rates varies between 0.18 [0.13; 0.22] and 1.07 [1.00; 1.13] percentage points in the lignite regions. A faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,100 [6,300; 12,300] people by 2040. A coal phase-out until 2035 is not worse in terms of welfare, consumption and employment compared to a coal-exit until 2040
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