25 Years IWH

Dr Eva Dettmann

Dr Eva Dettmann
Current Position

since 1/02

Economist in the Department of Structural Change and Productivity

Halle Institute for Economic Research (IWH) – Member of the Leibniz Association

Research Interests

  • empirical evaluation of regional and innovation policy
  • efficiency of economic policy
  • applied microeconometrics

Dr Dettmann is an economist at IWH since 2002. She is a member of the Department of Structural Change and Productivity.

Her current research focuses on microeconometric analyses, especially the evaluation of economic policy measures. Eva Dettmann joined IWH after graduating in economics and business administration at the Martin Luther University Halle-Wittenberg. She received her PhD from the Martin Luther University in 2008. The key element of her thesis was a simulation study to assess different matching procedures based on statistical quality criteria.

Your contact

Dr Eva Dettmann
Dr Eva Dettmann
Mitglied - Department Structural Change and Productivity
Send Message +49 345 7753-855

Publications

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The Importance of Localized Related Variety for International Diversification of Corporate Technology

Eva Dettmann Jutta Günther Björn Jindra Iciar Dominguez Lacasa

in: Regional Studies , No. 10, 2016

Abstract

Internationalization of research and development has increased substantially in recent years. This paper analyses the determinants of spatial distribution of foreign technological activities across 96 regions in Germany. It identifies foreign technological activities by applying the cross-border ownership concept to patent applications. The main proposition is that regions with higher related variety of technological activities between sectors attract more foreign technological activities. The estimations show that this is the case in regions characterized by a high overall technological strength. This suggests that related variety facilitates technological diversifications of foreign corporations in regions at the top of the geographic hierarchy.

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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

in: 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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Subsidized Vocational Training: Stepping Stone or Trap? – Assessing Empirical Effects using Matching Techniques

Eva Dettmann Jutta Günther

in: Swiss Journal of Economics and Statistics , No. 4, 2013

Abstract

Using replacement matching on the basis of a statistical distance function we try to answer the question of whether subsidized vocational training is related to a negative image effect for the graduates. The results show that young people with equal qualifications acquired during subsidized vocational training are disadvantaged solely due to the kind of education they have received. The probability of finding adequate employment is lower than in the control group. Besides the 'general effect' of support we also find less favorable job opportunities for those who attended 'external' as compared to 'workplace-related' training.

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Working Papers

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Identifying the Effects of Place-based Policies – Causal Evidence from Germany

Eva Dettmann Matthias Brachert Mirko Titze

in: IWH Discussion Papers , No. 18, 2016

Abstract

The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.

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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

in: IWH Discussion Papers , No. 12, 2013

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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Is there a Superior Distance Function for Matching in Small Samples?

Eva Dettmann Claudia Becker Christian Schmeißer

in: IWH Discussion Papers , No. 3, 2010

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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