Leitthema und Forschungsprofil
Leitthema und Forschungsprofil Geleitet von seinem Mission Statement stellt das IWH die Analyse der Determinanten langfristiger Wachstumsprozesse ins Zentrum seiner Forschung.…
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IWH European Real Estate Index
IWH European Real Estate Index (EREI) Der IWH European Real Estate Index ist ein neuer Datensatz, der die Entwicklungen auf dem gesamten europäischen Immobilienmarkt abbilden…
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Bruttoinlandsprodukt
Bruttoinlandsprodukt Das Bruttoinlandsprodukt umfasst den Wert aller innerhalb eines Wirtschaftsgebietes während einer bestimmten Periode produzierten Waren und Dienstleistungen.…
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Einkommen und Sparen
Einkommen und Sparen Primäreinkommen der privaten Haushalte Das Primäreinkommen der privaten Haushalte (einschließlich privater Organisationen ohne Erwerbszweck) enthält die…
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Projekte
Unsere Projekte 07.2022 ‐ 12.2026 Evaluierung des InvKG und des Bundesprogrammes STARK Bundesministerium für Wirtschaft und Klimaschutz (BMWK) Im Auftrag des Bundesministeriums…
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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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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.
Artikel Lesen
18.12.2018 • 22/2018
IWH leitet millionenschweres EU-Forschungsprojekt zur Produktivität
Verliert das Produktivitätswachstum in den Industrieländern an Schwung? Und wenn ja, warum? Mit diesen Fragen, die für die gesamte Wirtschaft von zentraler Bedeutung sind, befasst sich das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) ab Jahresbeginn 2019 als Koordinator eines neuen EU-Projekts. Unter dem Titel MICROPROD arbeiten Ökonomen und Statistikexperten neun europäischer Partner für drei Jahre zusammen. Mit einem Gesamtbudget von knapp drei Millionen Euro ist es das bislang größte EU-Projekt am IWH.
Steffen Müller
Lesen
„Challenges for Forecasting – Structural Breaks, Revisions and Measurement Errors” 16th IWH-CIREQ Macroeconometric Workshop
Matthias Wieschemeyer
Wirtschaft im Wandel,
Nr. 1,
2016
Abstract
Am 7. und 8. Dezember 2015 fand am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) zum 16. Mal der IWH-CIREQ Macroeconometric Workshop statt. Die in Kooperation mit dem Centre interuniversitaire de recherche en économie quantitative (CIREQ), Montréal, durchgeführte Veranstaltung beschäftigte sich dieses Mal mit zentralen Herausforderungen, denen sich die ökonomische Prognose zu stellen hat: Strukturbrüche in den Daten, statistische Revisionen und Fehler bei der Messung wichtiger Indikatoren.
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Corporate Venture Capital, Value Creation, and Innovation
Thomas J. Chemmanur, Elena Loutskina, Xuan Tian
Review of Financial Studies,
Nr. 8,
2014
Abstract
We analyze how corporate venture capital (CVC) differs from independent venture capital (IVC) in nurturing innovation in entrepreneurial firms. We find that CVC-backed firms are more innovative, as measured by their patenting outcome, although they are younger, riskier, and less profitable than IVC-backed firms. Our baseline results continue to hold in a propensity score matching analysis of IPO firms and a difference-in-differences analysis of the universe of VC-backed entrepreneurial firms. We present evidence consistent with two possible underlying mechanisms: CVC's greater industry knowledge due to the technological fit between their parent firms and entrepreneurial firms and CVC's greater tolerance for failure.
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