Committing to Grow: Privatizations and Firm Dynamics in East Germany
Ufuk Akcigit, Harun Alp, André Diegmann, Nicolas Serrano-Velarde
IWH Discussion Papers,
Nr. 17,
2023
Abstract
This paper investigates a unique policy designed to maintain employment during the privatization of East German firms after the fall of the Iron Curtain. The policy required new owners of the firms to commit to employment targets, with penalties for non-compliance. Using a dynamic model, we highlight three channels through which employment targets impact firms: distorted employment decisions, increased productivity, and higher exit rates. Our empirical analysis, using a novel dataset and instrumental variable approach, confirms these findings. We estimate a 22% points higher annual employment growth rate, a 14% points higher annual productivity growth, and a 3.6% points higher probability of exit for firms with binding employment targets. Our calibrated model further demonstrates that without these targets, aggregate employment would have been 15% lower after 10 years. Additionally, an alternative policy of productivity investment subsidies proved costly and less effective in the short term.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Empirical Economics,
Nr. 1,
2020
Abstract
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Abstract
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
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01.11.2019 • 23/2019
Presseeinladung zur Verleihung des Max-Planck-Humboldt-Forschungspreises und der Max-Planck-Humboldt-Medaille 2019 in Berlin, Akademie der Künste, 5. November 2019 um 17:00 Uhr mit anschließendem Empfang
Zum zweiten Mal wird der neugestaltete Max-Planck-Humboldt-Forschungspreis von der Max-Planck-Gesellschaft und der Alexander von Humboldt-Stiftung in Berlin verliehen. Der diesjährige Träger des Preises ist Ufuk Akcigit von der Universität Chicago mit dem Thema: Warum besteht zwischen Ost- und Westdeutschland weiterhin eine wirtschaftliche Kluft?
Pressemitteilung lesen