Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
Vol. 5 (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,
Vol. 25 (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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23.03.2017 • 16/2017
Konferenz für und von Nachwuchsökonomen
Leibniz-Institut für Wirtschaftsforschung Halle (IWH) und Martin-Luther-Universität Halle-Wittenberg richten das 22. Spring Meeting of Young Economists aus.
Von heute bis Samstag findet in Halle (Saale) das Spring Meeting of Young Economists (SMYE) statt, organisiert vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) und der Martin-Luther-Universität Halle-Wittenberg. Die Veranstaltung findet jährlich in unterschiedlichen europäischen Städten statt. Organisiert wird die renommierte Konferenz von der European Association of Young Economists (EAYE). Der Vorsitzende der EAYE, Stijn Baert, ist begeistert: “Der Organisation nach zu urteilen wird die Konferenz großartig werden!”
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The Behavioral Impact of Non-Monetary Workplace Characteristics
Sabrina Jeworrek
Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis,
Nr. 465,
2016
Abstract
This book investigates the impact of non-monetary workplace characteristics ― i.e. employee voice, task characteristics, and the provision of information ― on workers’ individual decision making and workplace performance. Given the neoclassical assumption of purely self-interested and completely rational utility maximizing individuals, workplace characteristics should be of little interest as long as they are not directly related to payment issues, so that a worker’s utility maximizing effort choice given a fixed wage level remains unaffected. Recent empirical findings, however, suggest that the use of non-monetary incentives might even be the better option to increase work performance. Three out of the four experimental studies covered by this book extend the previous research by providing more reliable insights into field behavior than conventional laboratory experiments. Given e.g. the right to self-determine one’s wage, almost all participants in the laboratory opt for the highest possible wage. Within the context of an inventory taking with 140 assistants, we conducted a natural field experiment and show that most workers ask for rather moderate wages with women being particularly conservative in their demands. Notwithstanding, wage delegation causes workers’ performance to rise and, hence, stresses the relevance of voice at the workplace. Furthermore, we provide evidence that workers also care for the content and the meaningfulness of their tasks. Uselessly exerted effort, for instance, reduces work performance as regards a completely unrelated task in the future. Taken together, the field experimental evidence presented in this book indicates that if employees find a workplace which matches their preferences, it is quite likely to be a beneficial situation not only for the employee but also for the employer. Overall good working conditions can even help workers overlook unequal treatments within the workforce, at least in the short-run and as long as there is a plausible reason for it. An additional laboratory experiment, however, suggests that additional information, e.g. about potential coworkers, might be necessary to make reasonable decisions in accordance with individual preferences.
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The Macroeconomic Risks of Undesirably Low Inflation
Jonas Arias, Christopher J. Erceg, Mathias Trabandt
European Economic Review,
Vol. 88,
2016
Abstract
This paper investigates the macroeconomic risks associated with undesirably low inflation using a medium-sized New Keynesian model. We consider different causes of persistently low inflation, including a downward shift in long-run inflation expectations, a fall in nominal wage growth, and a favorable supply-side shock. We show that the macroeconomic effects of persistently low inflation depend crucially on its underlying cause, as well as on the extent to which monetary policy is constrained by the zero lower bound. Finally, we discuss policy options to mitigate these effects.
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A Fresh Look at the Labor Market Height Premium in Germany
Frieder Kropfhäußer
Economics Bulletin,
Vol. 36 (3),
2016
Abstract
I use data from the German Socio-Economic Panel Study (SOEP) to analyze the relationship between height and wages in a sample of young German workers. My results show that the crude height wage premium documented in the literature is explained by unobserved heterogeneity on the sibling level. This contradicts the findings of a labor market height premium in Germany using OLS and Hausman-Taylor estimators as well as the Swedish finding of a height effect remaining after controlling for sibling fixed effects.
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Journal of Macroeconomics,
Vol. 48 (June),
2016
Abstract
In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameter estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.
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Unemployment and Business Cycles
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Econometrica,
Vol. 84 (4),
2016
Abstract
We develop and estimate a general equilibrium search and matching model that accounts for key business cycle properties of macroeconomic aggregates, including labor market variables. In sharp contrast to leading New Keynesian models, we do not impose wage inertia. Instead we derive wage inertia from our specification of how firms and workers negotiate wages. Our model outperforms a variant of the standard New Keynesian Calvo sticky wage model. According to our estimated model, there is a critical interaction between the degree of price stickiness, monetary policy, and the duration of an increase in unemployment benefits.
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