Imputation Rules for the Implementation of the Pre-unification Education Variable in the BASiD Data Set
André Diegmann
Journal for Labour Market Research,
2017
Abstract
Using combined data from the German Pension Insurance and the Federal Employment Agency (BASiD), this study proposes different procedures for imputing the pre-unification education variable in the BASiD data. To do so, we exploit information on education-related periods that are creditable for the Pension Insurance. Combining these periods with information on the educational system in the former GDR, we propose three different imputation procedures, which we validate using external GDR census data for selected age groups. A common result from all procedures is that they tend to underpredict (overpredict) the share of high-skilled (low-skilled) for the oldest age groups. Comparing our imputed education variable with information on educational attainment from the Integrated Employment Biographies (IEB) reveals that the best match is obtained for the vocational training degree. Although regressions show that misclassification with respect to IEB information is clearly related to observables, we do not find any systematic pattern across skill groups.
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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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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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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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Is the 'Central German Metropolitan Region' Spatially Integrated? An Empirical Assessment of Commuting Relations
Albrecht Kauffmann
Urban Studies,
No. 9,
2016
Abstract
The 'Central German Metropolitan Region' is a network of cities and their surroundings, located in the three East-German states of Saxony, Saxony-Anhalt and Thuringia. It was founded to bring the bundled strengths of these cities into an inter-municipal cooperation, for making use of the possible advantages of a polycentric region. As theory claims, a precondition for gains from polycentricity is spatial integration of the region. In particular, markets for high skilled labour should be integrated. To assess how this precondition is fulfilled in Central Germany, in the framework of a doubly constrained gravity model the commuting relations between the functional regions of the (until 2013) 11 core cities of the network are analysed. In particular for higher educated employees, the results display that commuting relations are determined not only by distance, but also by the state borders that cross the area.
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Spinoffs in Germany: Characteristics, Survival, and the Role of their Parents
Daniel Fackler, A. Schmucker, Claus Schnabel
Small Business Economics,
No. 1,
2016
Abstract
Using a 50 % sample of all private sector establishments in Germany, we report that spinoffs are larger, initially employ more skilled and more experienced workers, and pay higher wages than other startups. We investigate whether spinoffs are more likely to survive than other startups, and whether spinoff survival depends on the quality and size of their parent companies, as suggested in some of the theoretical and empirical literature. Our estimated survival models confirm that spinoffs are generally less likely to exit than other startups. We also distinguish between pulled spinoffs, where the parent company continues after they are founded, and pushed spinoffs, where the parent company stops operations. Our results indicate that in western and eastern Germany and in all sectors investigated, pulled spinoffs have a higher probability of survival than pushed spinoffs. Concerning the parent connection, we find that intra-industry spinoffs and spinoffs emerging from better-performing or smaller parent companies are generally less likely to exit.
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Does the Plant Size–wage Differential Increase with Tenure? Affirming Evidence from German Panel Data
Daniel Fackler, Thorsten Schank, Claus Schnabel
Economics Letters,
2015
Abstract
We show that the major part of the plant size–wage premium in Germany is reflected in different wage growth patterns in plants of different size. This is consistent with the hypothesis that large firms ‘produce’ more skilled workers over time.
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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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