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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Kalte Progression wird nach Einführung der Schuldenbremse ein zunehmendes Problem
Martin Altemeyer-Bartscher, Götz Zeddies
Wirtschaftsdienst,
Nr. 2,
2017
Abstract
Geringfügige Steuermehrbelastungen, die auf die kalte Progression bei der Einkommensteuer zurückzuführen sind, werden vom Steuerzahler kaum wahrgenommen. Überschreiten die kumulierten Mehrbelastungen allerdings nach einigen Jahren eine kritische Schwelle, entsteht gewöhnlich ein politischer Druck für die Korrektur der kalten Progression. Im Unterschied zu konjunkturbedingten Einnahmeschwankungen wird dieser Einnahmezyklus in den Regelungen zur Schuldenbremse nicht berücksichtigt. Eine Indexierung des Steuertarifs, d. h. eine automatische Korrektur der kalten Progression, könnte derartige Schwankungen verhindern.
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Kalte Progression – Gefahr für die Stabilität der Schuldenbremse
Götz Zeddies
Wirtschaft im Wandel,
Nr. 5,
2016
Abstract
Geringfügige Steuermehrbelastungen, die auf die kalte Progression bei der Einkommensteuer zurückzuführen sind, werden vom Steuerzahler kaum wahrgenommen und bieten dem deutschen Staat daher die Möglichkeit für schleichende Steuererhöhungen. Überschreiten die kumulierten Mehrbelastungen allerdings nach einigen Jahren eine kritische Schwelle, entsteht gewöhnlich ein politischer Druck für die Korrektur der kalten Progression. Wie im Beitrag gezeigt wird, kann die kalte Progression somit Auslöser eines Einnahmezyklus sein. Im Unterschied zu konjunkturbedingten Einnahmeschwankungen findet dieser Einnahmezyklus in den Regelungen zur Schuldenbremse keine Berücksichtigung. Ob die Regierungen eigenverantwortlich einen ausreichenden Sicherheitsabstand zur maximal zulässigen Nettokreditaufnahme einhalten, um diesen Schwankungen vorzubeugen, ist fraglich. Eine Indexierung des Steuertarifs, die eine automatische Korrektur der kalten Progression vorsieht, könnte derartige Schwankungen verhindern und für ein weniger volatiles Einkommensteueraufkommen sorgen.
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Global Food Prices and Monetary Policy in an Emerging Market Economy: The Case of India
Oliver Holtemöller, Sushanta Mallick
Journal of Asian Economics,
2016
Abstract
This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that a big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks.
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Staatliche Nachfrage als Treiber privater Forschungs- und Entwicklungsaktivitäten
Viktor Slavtchev, Simon Wiederhold
Wirtschaft im Wandel,
Nr. 3,
2016
Abstract
Der Staat fragt Produkte und Dienstleistungen mit ganz unterschiedlichem technologischen Niveau nach – von Büroklammern bis zu Forschungssatelliten. Dieser Beitrag zeigt zunächst in einem theoretischen Modell, dass der Staat durch die technologische Intensität seiner Nachfrage den Markt für technologieintensive Produkte und Dienstleistungen erweitern kann. Denn eine stärkere staatliche Nachfrage nach innovativen Produkten und Dienstleistungen erlaubt es privaten Unternehmen, die überwiegend fixen Kosten für Forschung und Entwicklung auf größere Absatzmengen umzulegen, lässt die privaten Erträge aus Forschung und Entwicklung ansteigen und generiert somit zusätzliche Anreize, in die Entwicklung neuer Technologien zu investieren. Anhand von Daten aus den USA wird auch empirisch belegt, dass eine – budgetneutrale – Erhöhung der technologischen Intensität der staatlichen Nachfrage die privaten FuE-Ausgaben erhöht. Damit rückt die staatliche Nachfrage erneut in die Diskussion über mögliche Instrumente einer effektiven Wirtschafts- und Innovationspolitik.
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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,
Nr. 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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The Diablo 3 Economy: An Agent Based Approach
Makram El-Shagi, Gregor von Schweinitz
Computational Economics,
Nr. 2,
2016
Abstract
Designers of MMOs such as Diablo 3 face economic problems much like policy makers in the real world, e.g. inflation and distributional issues. Solving economic problems through regular updates (patches) became as important to those games as traditional gameplay issues. In this paper we provide an agent framework inspired by the economic features of Diablo 3 and analyze the effect of monetary policy in the game. Our model reproduces a number of features known from the Diablo 3 economy such as a heterogeneous price development, driven almost exclusively by goods of high quality, a highly unequal wealth distribution and strongly decreasing economic mobility. The basic framework presented in this paper is meant as a stepping stone to further research, where our evidence is used to deepen our understanding of the real-world counterparts of such problems. The advantage of our model is that it combines simplicity that is inherent to model economies with a similarly simple observable counterpart (namely the game environment where real agents interact). By matching the dynamics of the game economy we can thus easily verify that our behavioral assumptions are good approximations to reality.
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Global Food Prices and Business Cycle Dynamics in an Emerging Market Economy
Oliver Holtemöller, Sushanta Mallick
Abstract
This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period from 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks and thereby achieve higher growth.
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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
Nr. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
Nr. 5,
2016
Abstract
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
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