The Value of Smarter Teachers: International Evidence on Teacher Cognitive Skills and Student Performance
Eric A. Hanushek, Marc Piopiunik, Simon Wiederhold
Journal of Human Resources,
Nr. 4,
2019
Abstract
We construct country-level measures of teacher cognitive skills using unique assessment data for 31 countries. We find substantial differences in teacher cognitive skills across countries that are strongly related to student performance. Results are supported by fixed-effects estimation exploiting within-country between-subject variation in teacher skills. A series of robustness and placebo tests indicate a systematic influence of teacher skills as distinct from overall differences among countries in the level of cognitive skills. Moreover, observed country variations in teacher cognitive skills are significantly related to differences in women’s access to high-skill occupations outside teaching and to salary premiums for teachers.
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Urban Occupational Structures as Information Networks: The Effect on Network Density of Increasing Number of Occupations
Shade T. Shutters, José Lobo, Rachata Muneepeerakul, Deborah Strumsky, Charlotta Mellander, Matthias Brachert, Teresa Farinha, Luis M. A. Bettencourt
Plos One,
im Erscheinen
Abstract
Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.
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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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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
Nr. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Agglomeration and FDI in East German Knowledge-intensive Business Services
Philipp Marek
Economia Politica,
Nr. 3,
2012
Abstract
The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in the knowledge-intensive business service (KIBS) sector on the regional level of «Raumordnungsregionen» in East Germany. The analysis focuses on the impact of regional agglomeration and technological capability on the location decision of foreign investors and West German MNEs. It shows that localisation, patent activity and the share of employees with an R&D occupation affect significantly the location decision of FDI. This result provides an explanation for the strong concentration of KIBS in urban areas in a post-transition economy.
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Hat die Befristung von Arbeitsverträgen einen Einfluss auf die Weiterbildung geringqualifiziert beschäftigter Personen?
Eva Reinowski, Jan Sauermann
IWH Discussion Papers,
Nr. 2,
2008
Abstract
Ähnlich wie in anderen europäischen Ländern wurde der Einsatz von befristeten Beschäftigungsverhältnissen in Deutschland seit den 1980ern vereinfacht. Als Folge dieser Vereinfachungen nimmt die Bedeutung dieser Beschäftigungsform als Instrument zur Flexibilisierung der Arbeitsnachfrage gerade bei geringqualifiziert Beschäftigten zu. Obwohl die Möglichkeit von Befristungen Chancen für Arbeitgeber und Arbeitnehmer eröffnet, wird in der Literatur argumentiert, dass befristete Beschäftigungsverhältnisse eine Art „Sackgasse“ darstellen und mit geringeren Investitionen in berufliche Weiterbildung verbunden sind. In diesem Beitrag wird anhand der Daten des Mikrozensus 2004 untersucht, welchen Einfluss befristete Arbeitsverträge auf die Beteiligung an beruflicher Weiterbildung geringqualifiziert beschäftigter Personen haben. Die empirische Analyse wird mit Hilfe eines rekursiven bivariaten Probitmodells durchgeführt. Aus den Ergebnissen lässt sich schließen, dass geringqualifiziert Beschäftigte mit befristeten Arbeitsverträgen keinen systematischen Nachteil gegenüber unbefristet Beschäftigten beim Zugang zu beruflicher Weiterbildung haben.
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Does Qualification Drive Innovation? A Microeconometric Analysis Using Linked-employer-employee Data
Bianca Brandenburg, Jutta Günther, Lutz Schneider
IWH Discussion Papers,
Nr. 10,
2007
Abstract
Degree-level science and engineering skills as well as management and leadership skills are often referred to as a source of innovative activities within companies. Broken down by sectoral innovation patterns, this article examines the role of formal education and actual occupation for product innovation performance in manufacturing firms within a probit model. It uses unique micro data for Germany (LIAB) that contain detailed information about innovative activities and the qualification of employees. We find significant differences of the human capital endowment between sectors differentiated according to the Pavitt classification. Sectors with a high share of highly skilled employees engage in product innovation above average (specialized suppliers and science based industries). According to our hitherto estimation results, within these sectors the share of highly skilled employees does not, however, substantially increase the probability to be an innovative firm.
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Occupation-by-Sector Matrices
Hans-Ulrich Brautzsch
Computer-Integrated Manufacturing,
1992
Abstract
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