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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 1/23

Research Affiliate

CNR-IRCrES Italy

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Forschungsschwerpunkte
  • 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). Seit 2023 ist sie zudem auch Research Affiliate beim Institut für Forschung zum nachhaltigen Wirtschaftswachstum (IRCrES), eine Einrichtung des Nationalen Forschungsrats (CNR) in Italien. Zu ihren Forschungsschwerpunkten zählen mikroökonometrische Analysen, insbesondere die Evaluation wirtschaftspolitischer Entscheidungen.

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

Ihr Kontakt

Dr. Eva Dettmann
Dr. Eva Dettmann
- Abteilung Zentrum für evidenzbasierte Politikberatung
Nachricht senden +49 345 7753-855 ORCID

Publikationen

Zitationen
512

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Investment Grants: Curse or Blessing for Employment?

Eva Dettmann

in: Annals of Regional Science, Vol. 75 (2), 2026

Abstract

In this study, establishment-level employment effects of investment grants in Germany are estimated. In addition to the quantitative effects, I provide empirical evidence of funding effects on different aspects of employment quality (earnings, qualifications, and job security) for the period 2004 to 2020. The database combines project-level treatment data, establishment-level information on firm characteristics and employee structure, and regional information at the district level. For the estimations, I combine the difference-in-differences approach of Callaway and Sant’Anna (J Econom 2252: 200–230, 2021) with ties matching at the cohort level. The estimations yield positive effects on the number of employees, but point to contradicting effects of investment grants on different aspects of employment quality.

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Employment Effects of Investment Grants and Firm Heterogeneity

Eva Dettmann Antje Weyh Mirko Titze

in: Regional Studies, Vol. 59 (1), 2025

Abstract

This study estimates the firm-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we examine discrimination in the funding rules as a potential source of effect heterogeneity. We combine a staggered difference-in-differences approach with a matching procedure at the cohort level. The findings reveal a positive effect of investment grants on employment development. The subsample analyses yield strong evidence for heterogeneous effects based on firm characteristics and the economic environment. They highlight the responsibility of the local funding authorities to clarify ex ante which goals of a funding programme are most important in their regions.

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The Regional Effects of a Place-based Policy – Causal Evidence from Germany

Matthias Brachert Eva Dettmann Mirko Titze

in: Regional Science and Urban Economics, Vol. 79 (November), 2019

Abstract

The German government provides discretionary investment grants to structurally weak regions in order to reduce regional inequality. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of regional actors to receive investment grants to identify the causal effects of the policy. We find positive effects of the programme on district-level gross value-added and productivity growth, but no effects on employment and gross wage growth.

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Arbeitspapiere

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A Helping Hand, but not a Lift. EU Cohesion Policy and Regional Development

Eva Dettmann Sarah Fritz

in: IWH Discussion Papers, Nr. 18, 2025

Abstract

This study provides new evidence on the impact of the EU Cohesion Policy on income growth in less developed regions. Our panel includes data from all European regions for the years 1989-2020. Using a fuzzy Regression Discontinuity Design, we model treatment dynamics by applying a random effects estimator. Based on digitized historical data, we precisely replicate the policy rule and correctly classify the regions’ eligibility status. Results show that the policy has a moderate positive effect on GDP per capita growth in the targeted regions.

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

Eva Dettmann Alexander Giebler Antje Weyh

in: IWH Discussion Papers, Nr. 3, 2020

Abstract

The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands 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 Discussion Papers, Nr. 27, 2017

Abstract

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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