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Creative Destruction and Subjective Well-being

Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review, Nr. 12, 2016
Abstract
In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.
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Support for Public Research Spin-offs by the Parent Organizations and the Speed of Commercialization

Viktor Slavtchev, D. Göktepe-Hultén
The Journal of Technology Transfer, Nr. 6, 2016
Abstract
We empirically analyze whether support by the parent organization in the early (nascent and seed) stage speeds up the process of commercialization and helps spin-offs from public research organizations generate first revenues sooner. To identify the impact of support by the parent organization, we apply multivariate regression techniques as well as an instrumental variable approach. Our results show that support in the early stage by the parent organization can speed up commercialization. Moreover, we identify two distinct channels—the help in developing a business plan and in acquiring external capital—through which support by the parent organization can enable spin-offs to generate first revenues sooner.
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Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany

Mirko Titze, Matthias Brachert, Hans-Ulrich Brautzsch
Economic Systems Research, Nr. 4, 2016
Abstract
Our paper pursues two aims: first, it presents an approach based on input–output innovation flow matrices to study intersectoral innovation flows within industrial clusters. Second, we apply this approach to the identification of structural weaknesses in East Germany relative to the western part of the country. The case of East Germany forms an interesting subject because while its convergence process after unification began promisingly in the first half of the 1990s, convergence has since slowed down. The existing gap can now be traced mainly to structural weaknesses in the East German economy, such as the absence of strong industrial cluster structures. With this in mind, we investigate whether East Germany does in fact reveal the abovementioned structural weaknesses. Does East Germany possess fewer industrial clusters? Are they less connected? Does East Germany lack specific clusters that are also important for the non-clustered part of the economy?
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Gender Wage Discrimination: Does the Extent of Competition in Labor Markets Explain why Female Workers are Paid Less than Men?

Boris Hirsch
IZA World of Labor, Nr. 310, 2016
Abstract
There are pronounced and persistent wage differences between men and women in all parts of the world. A significant element of these wage disparities can be attributed to differences in worker and workplace characteristics, which are likely to mirror differences in worker productivity. However, a large part of these differences remains unexplained, and it is common to attribute them to discrimination by the employer that is rooted in prejudice against female workers. Yet recent empirical evidence suggests that, to a large extent, the gaps reflect “monopsonistic” wage discrimination—that is, employers exploiting their wage-setting power over women—rather than any sort of prejudice.
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Innovation Network

Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS), Nr. 41, 2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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Taxation and the International Mobility of Inventors

Ufuk Akcigit, Salomé Baslandze, Stefanie Stantcheva
American Economic Review, Nr. 10, 2016
Abstract
We study the effect of top tax rates on “superstar” inventors’ international mobility since 1977, using panel data on inventors from the US and European Patent Offices. We exploit the differential impact of changes in top tax rates on inventors of different qualities. Superstar inventors' location choices are significantly affected by top tax rates. In our preferred specification, the elasticity to the net-of-tax rate of the number of domestic superstar inventors is around 0.03, while that of foreign superstar inventors is around 1. These elasticities are larger for inventors in multinational companies. An inventor is less sensitive to taxes in a country if his company performs a higher share of its research there.
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A Fresh Look at the Labor Market Height Premium in Germany

Frieder Kropfhäußer
Economics Bulletin, Nr. 3, 2016
Abstract
I use data from the German Socio-Economic Panel Study (SOEP) to analyze the relationship between height and wages in a sample of young German workers. My results show that the crude height wage premium documented in the literature is explained by unobserved heterogeneity on the sibling level. This contradicts the findings of a labor market height premium in Germany using OLS and Hausman-Taylor estimators as well as the Swedish finding of a height effect remaining after controlling for sibling fixed effects. 
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The Importance of Localized Related Variety for International Diversification of Corporate Technology

Eva Dettmann, Jutta Günther, Björn Jindra, Iciar Dominguez Lacasa
Regional Studies, Nr. 10, 2016
Abstract
Die Bedeutung der lokalisierten verbundenen Vielfalt für die internationale Diversifizierung von Unternehmenstechnik. Die Internationalisierung der Forschung und Entwicklung hat sich in den letzten Jahren erheblich verstärkt. In diesem Beitrag analysieren wir die Determinanten der räumlichen Verteilung von ausländischen Technikaktivitäten in 96 deutschen Regionen. Zur Identifizierung ausländischer Technikaktivitäten wird das Konzept des grenzübergreifenden Eigentums auf Patentanträge angewandt. Die wichtigste Prämisse lautet, dass Regionen mit einer höheren verbundenen Vielfalt von Technikaktivitäten zwischen den einzelnen Sektoren mehr ausländische Technikaktivitäten anziehen. Aus den Schätzungen geht hervor, dass dies auf Regionen zutrifft, die sich durch ein hohes Maß an genereller technischer Stärke auszeichnen. Dies lässt darauf schließen, dass verbundene Vielfalt die technische Diversifizierung von ausländischen Unternehmen in Regionen an der Spitze der geografischen Hierarchie begünstigt.
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The Role of Information in Innovation and Competition

Ufuk Akcigit, Qingmin Liu
Journal of the European Economic Association, Nr. 4, 2016
Abstract
Innovation is typically a trial‐and‐error process. While some research paths lead to the innovation sought, others result in dead ends. Because firms benefit from their competitors working in the wrong direction, they do not reveal their dead‐end findings. Time and resources are wasted on projects that other firms have already found to be fruitless. We offer a simple model with two firms and two research lines to study this prevalent problem. We characterize the equilibrium in a decentralized environment that necessarily entails significant efficiency losses due to wasteful dead‐end replication and an information externality that leads to an early abandonment of the risky project. We show that different types of firms follow different innovation strategies and create different kinds of welfare losses. In an extension of the core model, we also study a centralized mechanism whereby firms are incentivized to disclose their actions and share their private information in a timely manner.
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Taxation, Corruption, and Growth

Philippe Aghion, Ufuk Akcigit, Julia Cagé, William R. Kerr
European Economic Review, 2016
Abstract
We build an endogenous growth model to analyze the relationships between taxation, corruption, and economic growth. Entrepreneurs lie at the center of the model and face disincentive effects from taxation but acquire positive benefits from public infrastructure. Political corruption governs the efficiency with which tax revenues are translated into infrastructure. The model predicts an inverted-U relationship between taxation and growth, with corruption reducing the optimal taxation level. We find evidence consistent with these predictions and the entrepreneurial channel using data from the Longitudinal Business Database of the US Census Bureau. The marginal effect of taxation for growth for a state at the 10th or 25th percentile of corruption is significantly positive; on the other hand, the marginal effects of taxation for growth for a state at the 90th percentile of corruption are much lower across the board. We make progress towards causality through Granger-style tests and by considering periphery counties where effective tax policy is largely driven by bordering states. Finally, we calibrate our model and find that the calibrated taxation rate of 37% is fairly close to the model׳s estimated welfare maximizing taxation rate of 42%. Reducing corruption provides the largest potential impact for welfare gain through its impact on the uses of tax revenues.
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