flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
IWH Discussion Papers,
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.
The Regional Effects of a Place-based Policy – Causal Evidence from Germany
Regional Science and Urban Economics,
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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Public Investment Subsidies and Firm Performance – Evidence from Germany
Jahrbücher für Nationalökonomie und Statistik,
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.
Konjunktur aktuell: Konjunktur weiter stark, aber Risiken nehmen zu
Die internationale Konjunktur ist seit Herbst 2016 kräftig, und auch im Jahr 2018 dürfte die Weltwirtschaft deutlich expandieren, nach vorliegender Prognose um 3,3%. Die deutsche Wirtschaft ist derzeit in einer Hochkonjunktur. Allerdings ist zweifelhaft, ob die deutsche Wirtschaft über die Kapazitäten verfügt, um das Tempo des Aufschwungs noch lange durchzuhalten. Das Bruttoinlandsprodukt in Deutschland dürfte im Jahr 2018 mit 2,2% noch einmal recht kräftig und im Jahr 2019 mit 1,6% deutlich moderater expandieren. Der Zuwachs der Produktion in Ostdeutschland dürfte im Jahr 2018 mit 2,0% etwas unter dem in Westdeutschland liegen.
Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt
IWH Discussion Papers,
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.