Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings,
No. 5,
2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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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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Enforceability of Noncompetition Agreements and Firm Innovation: Does State Regulation Matter?
Desheng Yin, Iftekhar Hasan, Nada Kobeissi, Haizhi Wang
Innovation: Organization & Management,
No. 2,
2017
Abstract
In this study, we examine how noncompetition agreements and the mobility of human capital – a core asset of any firm – affect innovations of publicly traded firms in the United States. We find that firms in states with stricter noncompetition enforcement have fewer patent applications. We also examine patent forward citations and find that tougher enforcement of such contracts is associated with less innovative patents. Notably, we find that stronger enforcement of noncompetition agreements impedes innovation for firms facing intense industry labor mobility. High-powered, equity-based compensation positively moderates the relationship between noncompetition enforcement and innovation, but only for the quality of innovation.
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Urban Agglomeration and CEO Compensation
Bill Francis, Iftekhar Hasan, Kose John, Maya Waisman
Journal of Financial and Quantitative Analysis,
No. 6,
2016
Abstract
We examine the relation between the agglomeration of firms around big cities and chief executive officer (CEO) compensation. We find a positive relation among the metropolitan size of a firm’s headquarters, the total and equity portion of its CEO’s pay, and the quality of CEO educational attainment. We also find that CEOs gradually increase their human capital in major metropolitan areas and are rewarded for this upon relocation to smaller cities. Taken together, the results suggest that urban agglomeration reflects local network spillovers and faster learning of skilled individuals, for which firms are willing to pay a premium and which are therefore important factors in CEO compensation.
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FDI, Human Capital and Income Convergence — Evidence for European Regions
Björn Jindra, Philipp Marek, Dominik Völlmecke
Economic Systems,
No. 2,
2016
Abstract
This study examines income convergence in regional GDP per capita for a sample of 269 regions within the European Union (EU) between 2003 and 2010. We use an endogenous broad capital model based on foreign direct investment (FDI) induced agglomeration economies and human capital. By applying a Markov chain approach to a new dataset that exploits micro-aggregated sub-national FDI statistics, the analysis provides insights into regional income growth dynamics within the EU. Our results indicate a weak process of overall income convergence across EU regions. This does not apply to the dynamics within Central and East European countries (CEECs), where we find indications of a poverty trap. In contrast to FDI, regional human capital seems to be associated with higher income levels. However, we identify a positive interaction of FDI and human capital in their relation with income growth dynamics.
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Young, Restless and Creative: Openness to Disruption and Creative Innovations
Daron Acemoglu, Ufuk Akcigit, Murat Alp Celik
NBER Working Paper,
No. 19894,
2015
Abstract
This paper argues that openness to new, unconventional and disruptive ideas has a first-order impact on creative innovations—innovations that break new ground in terms of knowledge creation. After presenting a motivating model focusing on the choice between incremental and radical innovation, and on how managers of different ages and human capital are sorted across different firms with different degrees of openness to disruption, we provide firm-level, patent level and cross-country evidence consistent with this pattern. Our measures of creative innovations proxy for innovation quality (average number of citations per patent) and creativity (fraction of superstar innovators, the likelihood of a very high number of citations, and generality of patents). Our main proxy for openness to disruption is the age of the manager - based on the idea that only companies or societies open to such disruption will allow the young to rise up within the hierarchy. Using this proxy at the firm, patent and country level, we present robust evidence that openness to disruption is associated with more creative innovations, but we also show that once the effect of the sorting of young managers to firms that are more open to disruption is factored in, the (causal) impact of manager age on creative innovations is small.
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Does Going Public Affect Innovation?
Shai B. Bernstein
Journal of Finance,
No. 4,
2015
Abstract
This paper investigates the effects of going public on innovation by comparing the innovation activity of firms that go public with firms that withdraw their initial public offering (IPO) filing and remain private. NASDAQ fluctuations during the book-building phase are used as an instrument for IPO completion. Using patent-based metrics, I find that the quality of internal innovation declines following the IPO, and firms experience both an exodus of skilled inventors and a decline in the productivity of the remaining inventors. However, public firms attract new human capital and acquire external innovation. The analysis reveals that going public changes firms' strategies in pursuing innovation.
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Ökonomisches Wachstum in Ostdeutschland seit der Wiedervereinigung: Eine empirische Perspektive
Maike Irrek
Hochschulschrift, Juristische und Wirtschaftswissenschaftliche Fakultät der Martin-Luther-Universität Halle-Wittenberg,
2015
Abstract
Der schleppende Konvergenzprozess zwischen Ost- und Westdeutschland und der fortdauernde Produktivitätsrückstand der ostdeutschen Wirtschaft sind die Motivation einer Vielzahl an Studien und Analysen. Öffentliches Sachkapital und Humankapital spielen dabei eine wichtige Rolle. Es liegen jedoch keine passenden Zeitreihen vor, mit deren Hilfe die in der Literatur diskutierten Thesen in empirischen Untersuchungen überprüft werden könnten. Daher werden in der vorliegenden Dissertation das öffentliche und private Sachkapital sowie das Humankapital für Ost-und Westdeutschland geschätzt. Erst mit diesen Daten sind zudem genauere Schätzungen der Totalen Faktorproduktivität in beiden Regionen möglich.
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