In this paper, I study the consequences of globalisation, as measured by the involvement of firms in GVC, on the business environment. In particular, I focus on concentration and productivity, firstly by estimating robust elasticities and then isolating the exogenous component of the variation in the participation in GVC. To this aim, I exploit the distance between industries in terms of upstreamness and downstreamness along the supply chain. The evidences suggest that involvement in international supply chains is positively related to concentration at the sector level and positively associated with aggregate productivity, an effect that is driven by the firms at the top of the productivity distribution. Finally, I relate these findings to the current pandemic, going beyond the lack of official statistics and estimating GVC participation for 2020 at the country-level through real time world-seaborne trade data, providing evidences on the re-absorption of the Covid shock in several European economies.

Laut Volkswirtschaftlicher Gesamtrechnung erreicht die ostdeutsche Wirtschaft auch 30 Jahre nach dem Fall des Eisernen Vorhangs nur 80 % der westdeutschen Arbeitsproduktivität. Dieser Unterschied in der gesamtwirtschaftlichen Arbeitsproduktivität geht Hand in Hand mit vielen der wirtschaftlichen und gesellschaftlichen Probleme, denen Ostdeutschland heute gegenübersteht. Um die Ursachen des aggregierten Produktivitätsgefälles zu verstehen, wird die neuere Literatur zum Ost-West-Gefälle diskutiert, die granulare Daten auf Firmen- und Produktebene verwendet. Die Evidenz zeigt die Relevanz von Produktivitätsunterschieden auf Firmenebene für die aggregierte Lücke deutlich und stellt gängige Hypothesen infrage, die aus aggregierten Daten abgeleitet werden.

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.

We link USPTO patent data to U.S. Census Bureau administrative records on individuals and firms. The combined dataset provides us with a directory of patenting household inventors as well as a time-series directory of self-employed businesses tied to household innovations. We describe the characteristics of household inventors by race, age, gender and U.S. origin, as well as the types of patented innovations pursued by these inventors. Business data allows us to highlight how patents shape the early life-cycle dynamics of nonemployer businesses. We find household innovators are disproportionately U.S. born, white and their age distribution has thicker tails relative to business innovators. Data shows there is a deficit of female and black inventors. Household inventors tend to work in consumer product areas compared to traditional business patents. While patented household innovations do not have the same impact of business innovations their uniqueness and impact remains surprisingly high. Back of the envelope calculations suggest patented household innovations granted between 2000 and 2011 might generate $5.0B in revenue (2000 dollars).

Der Vergleich der Lebensverhältnisse in Ost- und Westdeutschland orientiert sich häufig am Bruttoinlandsprodukt je Einwohner:in. Dieses Maß ist jedoch für sich genommen kein guter Wohlfahrtsindikator. Es ist davon auszugehen, dass gemessen am Bruttoinlandsprodukt je Einwohner:in in absehbarer Zukunft keine wesentliche weitere Angleichung der Wirtschaftskraft in Ost- und Westdeutschland mehr stattfinden wird. Denn die Altersstruktur Ostdeutschlands, d. h. das Verhältnis von Erwerbstätigenzahl zu Einwohnerzahl, ist ungünstiger als im Westen. Betrachtet man hingegen wichtige Wohlfahrtsindikatoren wie Konsummöglichkeiten, Lebenserwartung, Freizeit und Einkommensungleichheit, so sind die Lebensverhältnisse in Ost- und Westdeutschland ähnlicher als das Bruttoinlandsprodukt je Einwohner:in suggeriert. In den Debatten über den Aufholprozess Ostdeutschlands sollte daher stärker auf die Arbeitsproduktivität als Maß für die Wirtschaftskraft und auf andere Wohlfahrtsindikatoren als Maß für die Angleichung der Lebensverhältnisse abgestellt werden.

Climate change projections show that the average global temperature will very likely increase further. Policymakers need to implement suitable mitigation policy measures. This thesis uses dynamic general equilibrium models (DGEs) to analyse the potential economic effects of mitigation policy. Chapter 2 documents the forecasting performance of standardly estimated macroeconomic models and compare them to extended versions. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of macroeconomic models. Chapter 3 studies potential economic consequences of a coal phase-out in Germany, using a spatial dynamic general equilibrium model. A phase-out until 2035 is not worse in terms of welfare compared to a coal exit until 2040. Chapter 4 develops a dynamic stochastic general equilibrium (DSGE) model with risky capital and oil as production factors. The contribution of financial market frictions and oil market disturbances to the US business cycle are low. An oil tax increase, to reduce crude oil consumption by 10% can cause a contraction of GDP by 1 to 2%.