Die führenden Wirtschaftsforschungsinstitute senken ihre BIP-Wachstumsprognose für 2021 von 3,7 % auf 2,4 %. Dafür ist insbesondere die schwächelnde Industrieproduktion verantwortlich, die unter Lieferengpässen leidet. Die internationale Konjunktur erholt sich zwar von den Verwerfungen der Corona-Pandemie, aber nur langsam, da die Impffortschritte regional unterschiedlich sind. Die Verbraucherpreise haben sich 2021 stark erhöht.

My dissertation consists of three studies, all viewing aggregate productivity as driven by the individual decisions of firms and the inventors that work for them. I use microeconometric analysis to study why firms innovate and economic theory to link these decisions to macroeconomic outcomes. The first paper in this dissertation studies how German manufacturing firms adjust their productivity in response to an increase in competition from foreign markets. German firms only increase their productivity if their new competitors come from other industrialized economies. This productivity increase is not driven by innovation. Instead, firms cut input expenses and prices while maintaining their output. The second paper traces the matching decisions of firms and inventors on the labor markets of developed economies. It adapts empirical techniques used in labor economics to this special segment of the labor market and shows that assortative matching has been increasing from 1974 to 2012: High quality inventors go to high quality firms more often than was the case in previous decades. This cannot be explained by changes in the patent invention function: The productivity of a match between a firm and an inventor of constant quality remains roughly unchanged. The third paper develops an endogenous growth model with inventor labor markets and two types of innovation: disruptive inventions that change the underlying technology of firms’ products and incremental improvements over existing products. Firms acquire expertise in certain technologies by hiring the inventors who are experts in these fields. This gives them a strong incentive to prevent disruptive inventions: If the underlying technology changes, their investment in these inventors becomes worthless. Large firms inhibit aggregate growth by poaching inventors from firms engaged in disruptive innovation.

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.

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.

In Deutschland wurden Anfang März in einigen Bereichen Maßnahmen zur Eindämmung des Coronavirus gelockert; so wurde die Anzahl der Personen aus verschiedenen Haushalten, die sich treffen dürfen, vielerorts erhöht und Einzelhandelsgeschäfte können vermehrt wieder Kunden empfangen. Auf diese Weise kommt es zu einem gewollten Wiederanstieg der wirtschaftlichen Mobilität und der persönlichen Kontakte zwischen Menschen. Die Kontakthäufigkeit ist allerdings auch ein wesentlicher Einflussfaktor für die Ausbreitungsgeschwindigkeit des Coronavirus, zumal die Lockerungen bislang nicht mit einer systematischen Teststrategie einhergehen; und auch der Impffortschritt bleibt hinter den Erwartungen zurück. Schätzungen auf Basis eines Modells für den Zusammenhang zwischen Eindämmungsmaßnahmen (Oxford COVID-19 Government Response Tracker, Stringency Index), wirtschaftlicher Mobilität (Google Mobility Data), Corona-Neuinfektionen und Todesfällen mit Daten aus 44 Ländern deuten darauf hin, dass die jüngsten Lockerungen die wirtschaftliche Mobilität um mehr als zehn Prozentpunkte ansteigen lassen und die Zahl der Neuinfektionen und der Todesfälle in Deutschland um 25% erhöhen. Da sowohl ein fortgesetzter Lockdown als auch Lockerungen erhebliche negative Konsequenzen mit sich bringen, ist es umso wichtiger, durch eine bessere Test- und Quarantänestrategie und durch eine höhere Geschwindigkeit beim Impfen weitere Lockerungen zu ermöglichen, ohne damit die Gesundheit der Menschen zu gefährden.