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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30 Years after Reunification, Gross Domestic Product has Served its Purpose as an Indicator
Oliver Holtemöller
Wirtschaftsdienst,
Konferenzband "30 Jahre Deutsche Einheit", März
2021
Abstract
The comparison of living conditions in East and West Germany is often based on the gross domestic product per inhabitant. However, this measure is not a good welfare indicator in itself. It can be assumed that, measured by the gross domestic product per inhabitant, there will be no further significant equalisation of economic power in East and West Germany in the foreseeable future. This is because the age structure of East Germany, i.e. the ratio of employed persons to inhabitants, is less favourable than in the West. On the other hand, if one looks at important welfare indicators such as consumption opportunities, life expectancy, leisure time and income inequality, living conditions in East and West Germany are more similar than the gross domestic product per inhabitant suggests. In the debates on the catching-up process of East Germany, more emphasis should therefore be placed on labour productivity as a measure of economic strength and on welfare indicators as a measure of the equalisation of living conditions.
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On the International Dissemination of Technology News Shocks
João Carlos Claudio, Gregor von Schweinitz
IWH Discussion Papers,
No. 25,
2020
Abstract
This paper investigates the propagation of technology news shocks within and across industrialised economies. We construct quarterly utilisation-adjusted total factor productivity (TFP) for thirteen OECD countries. Based on country-specific structural vector autoregressions (VARs), we document that (i) the identified technology news shocks induce a quite homogeneous response pattern of key macroeconomic variables in each country; and (ii) the identified technology news shock processes display a significant degree of correlation across several countries. Contrary to conventional wisdom, we find that the US are only one of many different sources of technological innovations diffusing across advanced economies. Technology news propagate through the endogenous reaction of monetary policy and via trade-related variables. That is, our results imply that financial markets and trade are key channels for the dissemination of technology.
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14.10.2020 • 21/2020
Recovery Loses Momentum ‒ Economy and Politics Still Shaped by the Pandemic
The corona pandemic leaves substantial marks in the German economy and its impact is more persistent than assumed in spring. In their autumn report, the leading German economic research institutes have revised their economic outlook downwards by roughly one percentage point for both this and next year. They now expect gross domestic product to fall by 5.4% in 2020 (previously -4.2%) and to grow by 4.7% (5.8%) in 2021 and 2.7% in 2022.
Oliver Holtemöller
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What’s slowing down the European Banking Union?
Simon Grothe, Michael Koetter, Thomas Krause, Lena Tonzer
LSE Business Review,
2020
Abstract
Differences in national bank regulation and supervision hamper the process; political factors play a minor role, write Simon Grothe, Michael Koetter, Thomas Krause, and Lena Tonzer
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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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17.06.2020 • 10/2020
High risk of corporate bankruptcy due to the corona shutdown
The Corona shutdown increases the probability of corporate bankruptcy. An analysis based on corporate financial statements from 2014 to 2018 reveals that in the United Kingdom, 73% of shutdown firms are not able to cover interest expenses from earnings before interest and taxes if they lose one twelfth of annual turnover. In Germany, the fraction amounts to 81%.
Oliver Holtemöller
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Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
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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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How to Talk Down Your Stock Performance
Andreas Barth, Sasan Mansouri, Fabian Wöbbeking, Severin Zörgiebel
SSRN Discussion Papers,
2020
Abstract
We process the natural language of verbal firm disclosures in order to study the use of context specific language or jargon and its impact on financial performance. We observe that, within the Q&A of earnings conference calls, managers use less jargon in responses to tougher questions, and after a quarter of bad economic success. Moreover, markets interpret the lack of precise information as a bad signal: we find lower cumulative abnormal returns and a higher implied volatility following earnings calls where managers use less jargon. These results support the argument that context specific language or jargon helps to efficiently and precisely transfer information.
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