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.
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On the International Dissemination of Technology News Shocks
João Carlos Claudio, Gregor von Schweinitz
IWH Discussion Papers,
Nr. 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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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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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,
Nr. 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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Managerial Ability and Value Relevance of Earnings
Bill Francis, Iftekhar Hasan, Ibrahim Siraj, Qiang Wu
China Accounting and Finance Review,
Nr. 4,
2019
Abstract
We examine how management ability affects the extent to which capital markets rely on earnings to value equity. Using a measure of ability that captures a management team’s capacity for generating revenues with a given level of resources compared to other industry peers, we find a strong positive association between managerial ability and the value relevance of earnings. Additional tests show that our results are robust to controlling for earnings attributes and investment efficiency. We use propensity score matching and the 2SLS instrumental variable approach to deal with the issue of endogeneity. For further identification, we examine CEO turnover and find that newly hired CEOs with better managerial abilities than the replaced CEOs increase the value relevance of earnings. We identify weak corporate governance and product market power as the two important channels through which superior management practices play an important role in the corporate decision-making process that positively influence the value relevance of earnings. Overall, our findings suggest that better managers make accounting information significantly more relevant in the market valuation of equity.
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The Internet Effects on Sex Crime Offenses – Evidence from the German Broadband Internet Expansion
André Diegmann
Journal of Economic Behavior and Organization,
September
2019
Abstract
This paper studies the effects of the introduction of a new mass medium on sex crime in Germany. I use unique data on criminal offenses and broadband internet measured at the municipal level to shed light on this issue. In order to address endogeneity in broadband internet availability, I exploit technical peculiarities at the regional level that determine the roll-out of high-speed internet. Results provide evidence of a substitution effect of internet exposure on sex crime. The substitution effect is neither driven by differences in reporting behavior, nor by matching processes at the victim and offender side. This suggests that the consumption of extreme media plays an important role in explaining the documented high-speed internet effect.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
Nr. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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