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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24.04.2017 • 22/2017
Higher capital requirements: It’s the firms that end up suffering
61 European banks were scheduled to increase their capital cover by 2012 to provide a sufficient buffer for future crises. As the study by the research group chaired by Reint E. Gropp at the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association shows, the banks did implement these requirements – not by raising their levels of equity, but by reducing their credit supply. This resulted in lower firm, investment, and sales growth for firms which obtained a larger share of their bank credit from these banks.
Reint E. Gropp
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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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International Banking and Cross-Border Effects of Regulation: Lessons from Canada
H. Evren Damar, Adi Mordel
International Journal of Central Banking,
No. 1,
2017
Abstract
We study how changes in prudential requirements affect cross-border lending of Canadian banks by utilizing an index that aggregates adjustments in key regulatory instruments across jurisdictions. We show that when a destination country tightens local prudential measures, Canadian banks increase the growth rate of lending to that jurisdiction, and the effect is particularly significant when capital requirements are tightened and weaker if banks lend mainly via affiliates. Our evidence also suggests that Canadian banks adjust foreign lending in response to domestic regulatory changes. The results confirm the presence of heterogeneous spillover effects of foreign prudential requirements.
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International Banking and Cross-border Effects of Regulation: Lessons from Germany
Jana Ohls, Markus Pramor, Lena Tonzer
International Journal of Central Banking,
Supplement 1, March
2017
Abstract
We analyze the inward and outward transmission of regulatory changes through German banks’ (international) loan portfolio. Overall, our results provide evidence for international spillovers of prudential instruments. These spillovers are, however, quite heterogeneous between types of banks and can only be observed for some instruments. For instance, domestic affiliates of foreign-owned global banks reduce their loan growth to the German economy in response to a tightening of sector-specific capital buffers, local reserve requirements, and loan-to-value ratios in their home country. Furthermore, from the point of view of foreign countries, tightening reserve requirements is effective in reducing lending inflows from German banks. Finally, we find that business and financial cycles matter for lending decisions.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
No. 2008,
2017
Abstract
Financial institutions are key to allocate capital to its most productive uses. In order to examine the relationship between productivity and bank credit in the context of different financial market set-ups, we introduce a model of overlapping generations of entrepreneurs under complete and incomplete credit markets. Then, we exploit firm-level data for France, Germany and Italy to explore the relation between bank credit and productivity following the main derivations of the model. We estimate an extended set of elasticities of bank credit with respect to a series of productivity measures of firms. We focus not only on the elasticity between bank credit and productivity during the same year, but also on the elasticity between credit and future realised productivity. Our estimates show a clear Eurozone core-periphery divide, the elasticities between credit and productivity estimated in France and Germany are consistent with complete markets, whereas in Italy they are consistent with incomplete markets. The implication is that in Italy firms turn to be constrained in their long-term investments and bank credit is allocated less efficiently than in France and Germany. Hence capital misallocation by banks can be a key driver of the long-standing slow productivity growth that characterises Italy and other periphery countries.
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