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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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Private Equity and Industry Performance
Shai B. Bernstein, Josh Lerner, Morten Sorensen, Per Strömberg
Management Science, No. 4, 2017
Abstract
The growth of the private equity industry has spurred concerns about its impact on the economy. This analysis looks across nations and industries to assess the impact of private equity on industry performance. We find that industries where private equity funds invest grow more quickly in terms of total production and employment and appear less exposed to aggregate shocks. Our robustness tests provide some evidence that is consistent with our effects being driven by our preferred channel.
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Attracting Early-Stage Investors: Evidence From a Randomized Field Experiment
Shai B. Bernstein, Arthur Korteweg, Kevin Laws
Journal of Finance, No. 2, 2017
Abstract
This paper uses a randomized field experiment to identify which start-up characteristics are most important to investors in early-stage firms. The experiment randomizes investors? information sets of fund-raising start-ups. The average investor responds strongly to information about the founding team, but not to firm traction or existing lead investors. We provide evidence that the team is not merely a signal of quality, and that investing based on team information is a rational strategy. Together, our results indicate that information about human assets is causally important for the funding of early-stage firms and hence for entrepreneurial success.
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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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Coping with Change: International Differences in the Returns to Skills
Eric A. Hanushek, Guido Schwerdt, Simon Wiederhold, Ludger Woessmann
Economics Letters, April 2017
Abstract
International data from the PIAAC survey allow estimation of comparable labor-market returns to skills for 32 countries. Returns to skills are larger in faster growing economies, consistent with the hypothesis that skills are particularly important for adaptation to economic change.
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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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Mind the Gap: The Difference Between U.S. and European Loan Rates
Tobias Berg, Anthony Saunders, Sascha Steffen, Daniel Streitz
Review of Financial Studies, No. 3, 2017
Abstract
We analyze pricing differences between U.S. and European syndicated loans over the 1992–2014 period. We explicitly distinguish credit lines from term loans. For credit lines, U.S. borrowers pay significantly higher spreads, but lower fees, resulting in similar total costs of borrowing in both markets. Credit line usage is more cyclical in the United States, which provides a rationale for the pricing structure difference. For term loans, we analyze the channels of the cross-country loan price differential and document the importance of: the composition of term loan borrowers and the loan supply by institutional investors and foreign banks.
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Structural Reforms in Banking: The Role of Trading
Jan Pieter Krahnen, Felix Noth, Ulrich Schüwer
Journal of Financial Regulation, No. 1, 2017
Abstract
In the wake of the recent financial crisis, significant regulatory actions have been taken aimed at limiting risks emanating from banks’ trading activities. The goal of this article is to look at the alternative reforms in the US, the UK and the EU, specifically with respect to the role of proprietary trading. Our conclusions can be summarized as follows: First, the focus on a prohibition of proprietary trading, as reflected in the Volcker Rule in the US and in the current proposal of the European Commission (Barnier proposal), is inadequate. It does not necessarily reduce risk-taking and it is likely to crowd out desired trading activities, thereby possibly affecting financial stability negatively. Second, trading separation into legally distinct or ring-fenced entities within the existing banking organizations, as suggested under the Vickers proposal for the UK and the Liikanen proposal for the EU, is a more effective solution. Separation limits cross-subsidies between banking and proprietary trading and diminishes contagion risk, while still allowing for synergies and risk management across banking, non-proprietary trading, and proprietary trading.
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