Media Response
Media Response November 2024 IWH: Manchmal wäre der Schlussstrich die angemessenere Lösung in: TextilWirtschaft, 21.11.2024 IWH: Existenzgefahr Nun droht eine Pleitewelle in: DVZ…
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Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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IWH Retreat Kick-off
IWH Retreat: Kick-off Meeting from Oliver Holtemöller, April 19, 2022 Dear all, On 08 and 09 June 2022, our retreat at Schwielowsee near Potsdam will take place. The motto is…
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Employment Effects of Investment Grants and Firm Heterogeneity – Evidence from a Staggered Adoption Approach
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
No. 6,
2023
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 potential source of effect heterogeneity. We combine a staggered difference-in-differences approach that explicitly models variations in treatment timing with a matching procedure at the cohort level. The findings reveal a positive effect of investment grants on employment development in the full sample. The subsample analysis yields strong evidence for heterogeneous effects based on firm characteristics and the economic environment. This can help to improve the future design of the program.
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Zu den betrieblichen Effekten der Investitionsförderung im Rahmen der deutschen Regionalpolitik
Matthias Brachert, Eva Dettmann, Mirko Titze
Wirtschaft im Wandel,
No. 1,
2020
Abstract
Die Wirtschaft in den Industrieländern unterliegt einem ständigen Anpassungsdruck. Wichtige aktuelle Treiber des Strukturwandels sind vor allem die Globalisierung, der technologische Fortschritt (insbesondere durch Digitalisierung und Automatisierung), die Demographie (durch Alterung und Schrumpfung der Bevölkerung) und der Klimawandel. Von diesem Anpassungsdruck sind jedoch die Regionen in Deutschland sehr unterschiedlich betroffen. Regionalpolitik verfolgt das Ziel, Regionen bei der Bewältigung des Strukturwandels zu unterstützen. Ein besonderer Fokus liegt dabei auf Regionen, die ohnehin durch Strukturschwächen gekennzeichnet sind. Die aktuelle Regionalförderung in Deutschland basiert im Wesentlichen auf der Förderung von Investitionen von Betrieben und Kommunen. Die Evaluierung dieser Programme muss integraler Bestandteil der Regionalpolitik sein – schließlich stellt sich immer die Frage nach einer alternativen Verwendung knapper öffentlicher Mittel. Eine Pilotstudie für Sachsen-Anhalt zeigt, dass die im Rahmen der Regionalpolitik gewährten Investitionszuschüsse einen positiven Effekt auf Beschäftigung und Investitionen der geförderten Betriebe haben; bei den Investitionen allerdings nur für die Dauer des Projekts. Effekte der Förderung auf Umsatz und Produktivität von Betrieben in Sachsen-Anhalt waren nicht nachweisbar.
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flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers,
No. 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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The Regional Effects of a Place-based Policy – Causal Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Regional Science and Urban Economics,
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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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
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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Public Investment Subsidies and Firm Performance – Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Jahrbücher für Nationalökonomie und Statistik,
No. 2,
2018
Abstract
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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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
No. 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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