Was wurde aus den industriellen Kernen der ehemaligen DDR? Einige Fallbeispiele
Gerhard Heimpold
Dierk Hoffmann (Hrsg.): Transformation einer Volkswirtschaft. Neue Forschungen zur Geschichte der Treuhandanstalt. Berlin,
2020
Abstract
Das öffentliche Urteil über die Treuhandanstalt ist in Deutschland nach wie vor einhellig negativ. Die damit verbundenen Deutungen sind aber nicht neu, sondern gehen bis in die 1990er Jahre zurück, als die Behörde mit der Privatisierung der Volkseigenen Betriebe der ehemaligen DDR beauftragt war. Die Öffnung der Treuhandakten ermöglicht jedoch einen differenzierten Blick und neue Erkenntnisse. Die Beiträge des vorliegenden Bandes thematisieren verschiedene Aspekte der Transformation der ostdeutschen Wirtschaft von der Plan- zur Marktwirtschaft und leisten so einen Beitrag zur Historisierung der Treuhandanstalt und ihrer Arbeitsweise.
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01.07.2020 • 11/2020
New Horizon 2020 project: The Challenge of the Social Impact of Energy Transitions
Funded by the European Commission’s Framework Programme Horizon 2020, the ENTRANCES project recently closed its kick-off meeting with a high scientific and institutional participation, and taking on the challenge of modeling the social impact of the energy transition.
Oliver Holtemöller
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Does Low-pay Persist across Different Regimes? Evidence from the German Unification
André Diegmann, Nicole Gürtzgen
Economics of Transition and Institutional Change,
No. 3,
2020
Abstract
Using German administrative data, we study across-regime low-pay persistence in the context of an economic transformation process. We first show that individuals' initial allocation to the post-unification low-wage sector was close to random in terms of market-regime unobservables. Consistent with a weak connection between individuals' true productivity and their pre-unification low-wage status, the extent of across-regime state dependence is found to be small and appears to vanish over time. For males, across-regime state dependence is most pronounced among the medium- and high-skilled, suggesting the depreciation of human capital as an explanation.
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Does Machine Learning Help us Predict Banking Crises?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Journal of Financial Stability,
December
2019
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance metric, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly efficiently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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19.09.2019 • 19/2019
Long-term effects of privatisation in eastern Germany: award-winning US economist begins large-scale research project at the IWH
It is one of the most prestigious awards in the German scientific community: the Max Planck-Humboldt Research Award 2019 endowed with €1.5 million goes to Ufuk Akcigit, Professor of Economics at the University of Chicago. At the Halle Institute for Economic Research (IWH), Akcigit aims to use innovative methods to investigate why the economy in eastern Germany is still lagging behind that in western Germany – and what role the privatisation process 30 years ago played in this.
Reint E. Gropp
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04.03.2019 • 6/2019
New IWH publication takes stock: “United country – three decades after the Wall came down”
How is Germany’s economy faring 30 years after the fall of the Berlin Wall? A new publication by the Halle Institute for Economic Research (IWH) uses illustrative maps and graphs to show how the Federal Republic has developed compared to other countries and how economic unification has progressed. The publication presents many new findings, including on productivity differences between east and west, urban and rural development, as well as the availability of skilled labour.
Gerhard Heimpold
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
Steffen Müller
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The Privatisation Activities of the Treuhandanstalt and the Transformation of the East German Corporate Landscape: A New Dataset for First Explorations
Alexander Giebler, Michael Wyrwich
IWH Technical Reports,
No. 1,
2018
Abstract
Even nearly 30 years after the fall of the Berlin Wall, the privatisation and transformation of East Germany's business landscape is controversially discussed in the media and politics. The privatisation process led to enormous structural changes, which were associated with massive job losses. In particular, the stagnating regional development of East Germany is often blamed on the “long shadow” of the privatisation activities of the Treuhandanstalt (THA). From a scientific perspective, however, there are hardly any contributions dealing with the effects of privatisation activities. The IWH-Treuhand Privatisation Micro Database introduced in this technical report is novel as such that it provides comprehensive information on employment and turnover figures for formerly state-owned enterprises for the early 1990s.
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Within Gain, Structural Pain: Capital Account Liberalization and Economic Growth
Xiang Li, Dan Su
New Structural Economics Working Paper No. E2018010,
2018
Abstract
This paper is the first to study the effects of capital account liberalization on structural transformation and compare the contribution of within term and structural term to economic growth. We use a 10-sector-level productivity dataset to decomposes the effects of opening capital account on within-sector productivity growth and cross-sector structural transformation. We find that opening capital account is associated with labor productivity and employment share increment in sectors with higher human capital intensity and external financial dependence, as well as non-tradable sectors. But it results in a growth-reducing structural transformation by directing labor into sectors with lower productivity. Moreover, in the ten years after capital account liberalization, the contribution share of structural transformation decreases while that of within productivity growth increases. We conclude that the relationship between capital account liberalization and economic growth is within gain and structural pain.
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