Dr. Eva Dettmann

Dr. Eva Dettmann
Aktuelle Position

seit 3/18

Stellvertretende Leiterin des Zentrums für evidenzbasierte Politikberatung (IWH-CEP)

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

seit 1/02

Wissenschaftliche Mitarbeiterin

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)


  • Evaluation von Regional- und Innovationspolitik
  • Wirksamkeit wirtschaftspolitischer Instrumente
  • angewandte Mikroökonometrie

Eva Dettmann ist seit 2002 wissenschaftliche Mitarbeiterin und seit 2018 die stellvertretende Leiterin des Zentrums für evidenzbasierte Politikberatung (IWH-CEP). Zu ihren Forschungsschwerpunkten zählen mikroökonometrische Analysen, insbesondere die Evaluation wirtschaftspolitischer Entscheidungen.

Eva Dettmann studierte und promovierte an der Martin-Luther-Universität Halle-Wittenberg.

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Dr. Eva Dettmann
Dr. Eva Dettmann
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Public Investment Subsidies and Firm Performance – Evidence from Germany

Matthias Brachert Eva Dettmann Mirko Titze

in: Jahrbücher für Nationalökonomie und Statistik, Nr. 2, 2018


This paper assesses firm-level effects of the single largest investment subsidy programme in Germany. The analysis considers grants allocated to firms in East German regions over the period 2007 to 2013 under the regional policy scheme Joint Task ‘Improving Regional Economic Structures’ (GRW). We apply a coarsened exact matching (CEM) in combination with a fixed effects difference-in-differences (FEDiD) estimator to identify the effects of programme participation on the treated firms. For the assessment, we use administrative data from the Federal Statistical Office and the Offices of the Länder to demonstrate that this administrative database offers a huge potential for evidence-based policy advice. The results suggest that investment subsidies have a positive impact on different dimensions of firm development, but do not affect overall firm competitiveness. We find positive short- and medium-run effects on firm employment. The effects on firm turnover remain significant and positive only in the medium-run. Gross fixed capital formation responses positively to GRW funding only during the mean implementation period of the projects but becomes insignificant afterwards. Finally, the effect of GRW-funding on labour productivity remains insignificant throughout the whole period of analysis.

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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, Nr. 10, 2016


Die Bedeutung der lokalisierten verbundenen Vielfalt für die internationale Diversifizierung von Unternehmenstechnik. Die Internationalisierung der Forschung und Entwicklung hat sich in den letzten Jahren erheblich verstärkt. In diesem Beitrag analysieren wir die Determinanten der räumlichen Verteilung von ausländischen Technikaktivitäten in 96 deutschen Regionen. Zur Identifizierung ausländischer Technikaktivitäten wird das Konzept des grenzübergreifenden Eigentums auf Patentanträge angewandt. Die wichtigste Prämisse lautet, dass Regionen mit einer höheren verbundenen Vielfalt von Technikaktivitäten zwischen den einzelnen Sektoren mehr ausländische Technikaktivitäten anziehen. Aus den Schätzungen geht hervor, dass dies auf Regionen zutrifft, die sich durch ein hohes Maß an genereller technischer Stärke auszeichnen. Dies lässt darauf schließen, dass verbundene Vielfalt die technische Diversifizierung von ausländischen Unternehmen in Regionen an der Spitze der geografischen Hierarchie begünstigt.

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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, Nr. 1, 2014


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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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration

Eva Dettmann Alexander Giebler Antje Weyh

in: IWH-Diskussionspapiere, Nr. 5, 2019


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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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt

Eva Dettmann Mirko Titze Antje Weyh

in: IWH-Diskussionspapiere, Nr. 27, 2017


The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.

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

Eva Dettmann Matthias Brachert Mirko Titze

in: IWH-Diskussionspapiere, Nr. 18, 2016


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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