Evaluation of Subsidy Programmes

This research group focuses on two main research questions: (i) What is the causal effect of cooperative innovation activities on the performance of firms and regions? (ii) What are the causal effects of public Research and Development (R&D) support schemes on the performance of firms and regions? The first research question concerns the dynamics of firms and regions as a result of their different innovation activities. We apply a micro-based integrative perspective on innovative activities which allows identifying causal effects of cooperative activities on specific outcomes (e. g., patent applications, scientific publications, employment growth, or productivity growth). Concerning the second research question, recent studies mainly focus on the evaluation of one specific subsidy scheme. Research in this group aims to overcome this shortcoming by considering various support schemes. Indicators for the firms’ success are (amongst others) patent applications and employment growth. The results allow insights for the future design of innovation support schemes.

IWH Subsidy Database

Centre for Evidence-based Policy Advice (IWH-CEP)

Research Cluster
Institutions and Social Norms

Your contact

PD Dr Mirko Titze
PD Dr Mirko Titze
Mitglied - Department Präsidialbereich
Send Message +49 345 7753-861


09.2019 ‐ 09.2022

Establishing Evidence-based Evaluation Methods for Subsidy Programmes in Germany (EVA-KULT)

European Regional Development Fund (ERDF)

The project aims at expanding the Centre for Evidence-based Policy Advice at the Halle Institute for Economic Research (IWH-CEP).

PD Dr Mirko Titze

01.2018 ‐ 12.2020

Networked growth - Innovative Saxony-Anhalt through digital business models (Competence Center 4.0)

Federal Ministry for Economic Affairs and Energy (BMWI)

PD Dr Mirko Titze

01.2017 ‐ 12.2018

Political Participation in Eastern Germany

Federal Ministry for Economic Affairs and Energy (BMWI)

Dr Matthias Brachert

12.2015 ‐ 11.2018

Socio-economic Effects of Research on Innovative Approaches for POC Diagnostics

Federal Ministry of Education and Research (BMBF)

Part of the EXASENS project. Coordinated by the Leibniz Institute of Photonic Technology (IPHT) in Jena, nine Leibniz institutes are working together on researching point-of-care (POC) technology for the prediction and diagnosis of chronic inflammatory respiratory diseases. See press release.

Dr Matthias Brachert

02.2017 ‐ 02.2018

The Importance of Non-University Research Institutions for the Development of Firms and Regions (Be_For_Reg-Projekt)

Federal Ministry of Education and Research (BMBF)

PD Dr Mirko Titze

01.2015 ‐ 12.2016

Evaluation of the "Joint Task 'Improving the Regional Economic Structure'" in the Federal State of Saxony-Anhalt

Investitionsbank Sachsen-Anhalt

PD Dr Mirko Titze

Refereed Publications


Determinants of Knowledge Exchange Between Foreign and Domestic Enterprises in European Post-transition Economies

Andrea Gauselmann

in: Journal Economia e Politica Industriale (Journal of Industrial and Business Economics), No. 4, 2014


The aim of this paper is to contribute to the literature on internationalised research and development by investigating determinants of knowledge and technology transfer between foreign subsidiaries and the local economy in European post-transition economies. This inquiry leads to a better understanding of determinants that influence this knowledge and technology exchange. Applying a logit model, we find that, in particular, the foreign subsidiary’s corporate governance structure, its embeddedness in the multinational enterprise’s internal knowledge base, its own technological capacity, the growth of the regional knowledge stock and the regional sectoral diversification are all positively associated with the transfer of knowledge. Subsidiaries’ investment motives and the relative weight of the sector of investment in the region’s economy appear to be of less importance. The analysis focuses on European post-transition economies, using the example of five selected Central Eastern European countries and East Germany. We exploit a unique dataset, the IWH FDI Micro database, which contains information on one thousand two hundred forty-five foreign subsidiaries in this region.

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A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom

Robert W. Fairlie Florian Hoffmann Philip Oreopoulos

in: American Economic Review, No. 8, 2014


Administrative data from a large and diverse community college are used to examine if underrepresented minority students benefit from taking courses with underrepresented minority instructors. To identify racial interactions we estimate models that include both student and classroom fixed effects and focus on students with limited choice in courses. We find that the performance gap in terms of class dropout rates and grade performance between white and underrepresented minority students falls by 20 to 50 percent when taught by an underrepresented minority instructor. We also find these interactions affect longer term outcomes such as subsequent course selection, retention, and degree completion.

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The Skills Balance in Germany’s Import Intensity of Exports: An Input-Output Analysis

Udo Ludwig Hans-Ulrich Brautzsch

in: Intereconomics, No. 2, 2014


In the decade prior to the economic and financial crisis, Germany’s net exports increased in absolute terms as well as relative to the growing level of import intensity of domestically produced export goods and services. This article analyses the direct and indirect employment effects induced both by exports as well as by of the import intensity of the production process of export goods and services on the skills used. It shows that Germany’s export surpluses led to positive net employment effects. Although the volume of imports of intermediate goods increased and was augmented by the rise in exports, it could not undermine the overall positive employment effect.

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R&D Cooperation for Non-technological Innovations

Gunnar Pippel

in: Economics of Innovation and New Technology, No. 7, 2014


Past research on the impact of R&D cooperation on firm innovation performance has almost solely focused on technological innovations. This paper investigates the impact of R&D cooperation on non-technological innovation performance of firms. In doing so, seven different cooperation partner types are distinguished. Survey data from German firms are used for the econometric analysis. It is shown that R&D cooperation increases the probability of a firm to introduce non-technological innovations. R&D cooperation with suppliers, consultants, other firms within the same firm group and universities has a significant positive impact on organizational and marketing innovation performance. Cooperation with governmental research institutes and competitors has no significant effect. R&D cooperation with customers has a significant impact on a firm's organizational innovation performance, but not on marketing innovation performance.

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Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities

Mirko Titze Matthias Brachert Alexander Kubis

in: Growth and Change, No. 2, 2014


This paper contributes to the empirical literature on systematic methodologies for the identification of industrial clusters. It combines a measure of spatial concentration, qualitative input–output analysis, and a knowledge interaction matrix to identify the production and knowledge generation activities of industrial clusters in the Federal State of Saxony in Germany. It describes the spatial allocation of the industrial clusters, identifies potentials for value chain industry clusters, and relates the production activities to the activities of knowledge generation in Saxony. It finds only a small overlap in the production activities of industrial clusters and general knowledge generation activities in the region, mainly driven by the high-tech industrial cluster in the semiconductor industry. Furthermore, the approach makes clear that a sole focus on production activities for industrial cluster analysis limits the identification of innovative actors.

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Working Papers


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

Eva Dettmann Alexander Giebler Antje Weyh

in: IWH Discussion Papers, No. 3, 2020


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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Identifying Cooperation for Innovation – A Comparison of Data Sources

Michael Fritsch Matthias Piontek Mirko Titze

in: IWH Discussion Papers, No. 1, 2019


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

Eva Dettmann Mirko Titze Antje Weyh

in: IWH Discussion Papers, No. 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 Discussion Papers, No. 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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Do Manufacturing Firms Benefit from Services FDI? – Evidence from Six New EU Member States

J. Damijan Crt Kostevc Philipp Marek Matija Rojec

in: IWH Discussion Papers, No. 5, 2015


This paper focuses on the effect of foreign presence in the services sector on the productivity growth of downstream customers in the manufacturing sector in six EU new member countries in the course of their accession to the European Union. For this purpose, the analysis combines firm-level information, data on economic structures and annual national input-output tables. The findings suggest that services FDI may enhance productivity of manufacturing firms in Central and Eastern European (CEE) countries through vertical forward spillovers, and thereby contribute to their competitiveness. The consideration of firm characteristics shows that the magnitude of spillover effects depends on size, ownership structure, and initial productivity level of downstream firms as well as on the diverging technological intensity across sector on the supply and demand side. The results suggest that services FDI foster productivity of domestic rather than foreign controlled firms in the host economy. For the period between 2003 and 2008, the findings suggest that the increasing share of services provided by foreign affiliates enhanced the productivity growth of domestic firms in manufacturing by 0.16%. Furthermore, the firms’ absorptive capability and the size reduce the spillover effect of services FDI on the productivity of manufacturing firms. A sectoral distinction shows that firms at the end of the value chain experience a larger productivity growth through services FDI, whereas the aggregate positive effect seems to be driven by FDI in energy supply. This does not hold for science-based industries, which are spurred by foreign presence in knowledge-intensive business services.

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