Research Clusters
Three Research Clusters Research Cluster "Economic Dynamics and Stability" Research Questions This cluster focuses on empirical analyses of macroeconomic dynamics and stability.…
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IWH EXplore
IWH EXplore Competitive Funding for Research Projects with External Involvement at IWH IWH EXplore gives scientists the opportunity to acquire supplemental funding, in addition to…
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Ludwig (Interview)
Von der CIA und einem Glas Rotwein ... Prof. Dr. Udo Ludwig über die Anfänge und Entwicklungen des IWH Der Kern der IWH-Gründungsmannschaft kam aus dem Institut für Angewandte…
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Research Groups
Our Research Groups Banking, Regulation, and Incentive Structures Data Science in Financial Economics Econometric Tools for Macroeconomic Forecasting and Simulation Education,…
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Population and labour market
Population and labour market Inhabitants are all people (Germans and foreigners) with permanent residence in federal territory (or in a Land). That does not include members of…
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01.06.2022 • 12/2022
IWH welcomes top international researcher as head of new department
A powerful boost for the Halle Institute for Economic Research (IWH): Merih Sevilir, a world-renowned researcher on the interplay of financial and labour markets, is heading the Institute’s newest department as of today. Her expertise strengthens the unique selling points of the institute and can be expected to generate significant opportunities for policy insights.
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Does Working at a Start-up Pay Off?
Daniel Fackler, Lisa Hölscher, Claus Schnabel, Antje Weyh
Small Business Economics,
No. 4,
2022
Abstract
Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining start-ups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and long-lasting drawbacks from entering a start-up in terms of wages, yearly income, and (un)employment. These disadvantages hold for all groups of workers and types of start-ups analyzed. Although our analysis of different subsequent career paths highlights important heterogeneities, it does not reveal any strategy through which workers joining start-ups can catch up with the income of similar workers entering incumbent firms.
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VC Participation and Failure of Startups: Evidence from P2P Lending Platforms in China
Iftekhar Hasan, Xiaoyang Li
Finance Research Letters,
May
2021
Abstract
We investigate how VC participation affects the failure of startups. Using a unique dataset of the survival of peer-to-peer (P2P) platforms in China, we identify two types of failures, bankruptcy, and run off with investors' money. The Competing Risk Model results show that while VC participation reduces bankruptcy hazard, it has little impact on the runoff failures. The findings are robust to the use of matched subsamples that disentangle the influence of pre-investment screening by VC. Further analysis of exit routes reveals that conditional on failure, VC participation is associated with a higher chance of running for the exit.
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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