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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Endogenous Selection of Comparison Groups, Human Capital Formation, and Tax Policy
Oded Stark, Walter Hyll, Y. Wang
Economica,
No. 313,
2012
Abstract
We consider a setting in which the acquisition of human capital entails a change of location in social space that causes individuals to revise their comparison groups. Skill levels are viewed as occupational groups. Moving up the skill ladder by acquiring additional human capital, in itself rewarding, leads to a shift in the individual’s inclination to compare himself with a different, and on average better-paid, comparison group, in itself penalizing. We shed new light on the dynamics of human capital formation, and suggest novel policy interventions to encourage human capital formation in the aggregate and reduce inter-group income inequality.
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Does Qualification Drive Innovation? A Microeconometric Analysis Using Linked-employer-employee Data
Bianca Brandenburg, Jutta Günther, Lutz Schneider
IWH Discussion Papers,
No. 10,
2007
Abstract
Degree-level science and engineering skills as well as management and leadership skills are often referred to as a source of innovative activities within companies. Broken down by sectoral innovation patterns, this article examines the role of formal education and actual occupation for product innovation performance in manufacturing firms within a probit model. It uses unique micro data for Germany (LIAB) that contain detailed information about innovative activities and the qualification of employees. We find significant differences of the human capital endowment between sectors differentiated according to the Pavitt classification. Sectors with a high share of highly skilled employees engage in product innovation above average (specialized suppliers and science based industries). According to our hitherto estimation results, within these sectors the share of highly skilled employees does not, however, substantially increase the probability to be an innovative firm.
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