Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
No. 12,
2017
Abstract
Ample evidence indicates that a person’s human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two “natural experiments,” one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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11.04.2017 • 18/2017
The state as a pioneering customer: How public demand can drive private innovation
Especially in technology-intensive industries, demand from the state can expand private markets and create incentives for privately funded research and development, a new study by the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association shows.
Viktor Slavtchev
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Im Fokus: Industrielle Kerne in Ostdeutschland und wie es dort heute aussieht – Das Beispiel des Zentrums Mikroelektronik Dresden
Gerhard Heimpold
Wirtschaft im Wandel,
No. 1,
2017
Abstract
Das Unternehmen IDT Europe GmbH mit Sitz in Dresden, das bis Dezember 2015 als Zentrum Mikroelektronik Dresden (ZMDI AG) firmierte, kann ein Beispiel auch für andere Industrieunternehmen in Deutschland sein: Fokus auf Forschung, Entwicklung und Design – ohne eigene Fertigung. Die IDT Europe GmbH war als Forschungseinrichtung für die mikroelektronische Industrie der DDR gestartet und konnte nach der Herstellung der Deutschen Einheit als ein wichtiger Bestandteil der Halbleiterindustrie und -forschung in der Region Dresden erhalten werden. Das Unternehmen befand sich bis 1998 faktisch im Eigentum des Freistaates Sachsen. Ende 1998 erfolgte die Privatisierung. In den 2000er Jahren spezialisierte sich das ZMDI vor allem auf Halbleiter-Erzeugnisse für energieeffiziente Lösungen insbesondere in Automobilen, der Medizintechnik, Industrieautomatisierung und Konsumelektronik. Im Jahr 2007 wurde die eigene Halbleiterfertigung aufgegeben, und es erfolgte eine Konzentration auf Forschung und Entwicklung. Das ZMDI profilierte sich als ein mittelständisches Headquarter-Unternehmen mit Sitz in Dresden. Im Dezember 2015 wurde die ZMDI AG vom US-Halbleiter-Unternehmen Integrated Device Technology, Inc. (IDT) erworben, bildet im neuen Unternehmensverbund das Exzellenzzentrum für Halbleiteranwendungen in Automobilen und entwickelt auch Produkte für industrielle Anwendungen und die Konsumelektronik.
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Effekte der Frühphasenunterstützung von Gründungen aus öffentlichen Forschungseinrichtungen – Das Beispiel Max-Planck-Innovation
D. Göktepe-Hultén, Viktor Slavtchev
Wirtschaft im Wandel,
No. 1,
2017
Abstract
Unternehmensgründungen durch Wissenschaftler werden als wichtiger Kanal zur Kommerzialisierung von Wissen und Technologien aus öffentlichen Forschungseinrichtungen und daher als Motor der wirtschaftlichen Entwicklung angesehen. Jedoch fehlen Wissenschaftlern oft wichtige unternehmerische Fähigkeiten und Kapital, sodass sie auf Unterstützung angewiesen sind. Am Beispiel der Max-Planck-Gesellschaft in Deutschland wird hier untersucht, inwiefern Unterstützung durch die öffentliche Forschungseinrichtung für angehende Gründer in der Frühphase den Gründungs- und Kommerzialisierungsprozess beschleunigen kann. Die Max-Planck-Gesellschaft ist eine der weltweit führenden Einrichtungen im Bereich der Grundlagenforschung und verfügt zudem mit Max-Planck-Innovation über eine Transfereinheit, die dezidiert und erfolgreich die Kommerzialisierung von Forschungsergebnissen aus der Gesellschaft vorantreibt. Die Ergebnisse der Untersuchung zeigen, dass die Unterstützung durch öffentliche Forschungseinrichtungen die frühe Erstellung eines tragfähigen Business-Plans und die frühe Akquise externen Kapitals fördert, sodass unterstützte Start-ups früher am Markt sind und Umsätze realisieren.
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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),
No. 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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The Importance of Localized Related Variety for International Diversification of Corporate Technology
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Regional Studies,
No. 10,
2016
Abstract
Internationalization of research and development has increased substantially in recent years. This paper analyses the determinants of spatial distribution of foreign technological activities across 96 regions in Germany. It identifies foreign technological activities by applying the cross-border ownership concept to patent applications. The main proposition is that regions with higher related variety of technological activities between sectors attract more foreign technological activities. The estimations show that this is the case in regions characterized by a high overall technological strength. This suggests that related variety facilitates technological diversifications of foreign corporations in regions at the top of the geographic hierarchy.
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Buy, Keep, or Sell: Economic Growth and the Market for Ideas
Ufuk Akcigit, Murat Alp Celik, Jeremy Greenwood
Econometrica,
No. 3,
2016
Abstract
An endogenous growth model is developed where each period firms invest in researching and developing new ideas. An idea increases a firm's productivity. By how much depends on the technological propinquity between an idea and the firm's line of business. Ideas can be bought and sold on a market for patents. A firm can sell an idea that is not relevant to its business or buy one if it fails to innovate. The developed model is matched up with stylized facts about the market for patents in the United States. The analysis gauges how efficiency in the patent market affects growth.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, Simon Wiederhold
American Economic Journal: Macroeconomics,
No. 2,
2016
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. In a theoretical model, we first show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private R&D. Using unique data on federal procurement in US states and performing panel fixed-effects estimations, we find support for the model's prediction of a positive R&D effect of the technological content of government procurement. Instrumental-variable estimations suggest a causal interpretation of our findings.
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Transition to Clean Technology
Daron Acemoglu, Ufuk Akcigit, Douglas Hanley, William R. Kerr
Journal of Political Economy,
No. 1,
2016
Abstract
We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.
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