On the Employment Consequences of Automation and Offshoring: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
Lili Yan Ing, Gene M. Grossman (eds), Robots and AI: A New Economic Era. Routledge: London,
2022
Abstract
We argue that automation may make workers and firms more selective in matching their specialized skills and tasks. We call this phenomenon “core-biased technological change”, and wonder whether something similar could be relevant also for offshoring. Looking for evidence in occupational data for European industries, we find that automation increases workers’ and firms’ selectivity as captured by longer unemployment duration, less skill-task mismatch, and more concentration of specialized knowledge in specific tasks. This does not happen in the case of offshoring, though offshoring reinforces the effects of automation. We show that a labor market model with two-sided heterogeneity and search frictions can rationalize these empirical findings if automation strengthens while offshoring weakens the assortativity between workers’ skills and firms’ tasks in the production process, and automation and offshoring complement each other. Under these conditions, automation decreases employment and increases wage inequality whereas offshoring has opposite effects.
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Inequality in Life and Death
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
IMF Economic Review,
March
2022
Abstract
We argue that the COVID epidemic disproportionately affected the economic well-being and health of poor people. To disentangle the forces that generated this outcome, we construct a model that is consistent with the heterogeneous impact of the COVID recession on low- and high-income people. According to our model, two-thirds of the inequality in COVID deaths reflect preexisting inequality in comorbidity rates and access to quality health care. The remaining third stems from the fact that low-income people work in occupations where the risk of infection is high. Our model also implies that the rise in income inequality generated by the COVID epidemic reflects the nature of the goods that low-income people produce. Finally, we assess the health-income trade-offs associated with fiscal transfers to the poor and mandatory containment policies.
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Returns to ICT Skills
Oliver Falck, Alexandra Heimisch-Roecker, Simon Wiederhold
Research Policy,
No. 7,
2021
Abstract
How important is mastering information and communication technology (ICT) on modern labor markets? We answer this question with unique data on ICT skills tested in 19 countries. Our two instrumental-variable models exploit technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across countries and German municipalities. We find statistically and economically significant returns to ICT skills. For instance, an increase in ICT skills similar to the gap between an average-performing and a top-performing country raises earnings by about 8 percent. One mechanism driving positive returns is selection into occupations with high abstract task content.
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Inequality in Life and Death
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
Abstract
We argue that the Covid epidemic disproportionately affected the economic well-being and health of poor people. To disentangle the forces that generated this outcome, we construct a model that is consistent with the heterogeneous impact of the Covid recession on low- and high-income people. According to our model, two thirds of the inequality in Covid deaths reflect pre-existing inequality in comorbidity rates and access to quality health care. The remaining third, stems from the fact that low-income people work in occupations where the risk of infection is high. Our model also implies that the rise in income inequality generated by the Covid epidemic reflects the nature of the goods that low-income people produce. Finally, we assess the health-income trade-offs associated with fiscal transfers to the poor and mandatory containment policies.
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International Emigrant Selection on Occupational Skills
Miguel Flores, Alexander Patt, Jens Ruhose, Simon Wiederhold
Journal of the European Economic Association,
No. 2,
2021
Abstract
We present the first evidence on the role of occupational choices and acquired skills for migrant selection. Combining novel data from a representative Mexican task survey with rich individual-level worker data, we find that Mexican migrants to the United States have higher manual skills and lower cognitive skills than nonmigrants. Results hold within narrowly defined region–industry–occupation cells and for all education levels. Consistent with a Roy/Borjas-type selection model, differential returns to occupational skills between the United States and Mexico explain the selection pattern. Occupational skills are more important to capture the economic motives for migration than previously used worker characteristics.
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Growing Income Inequality in the United States and Other Advanced Economies
Florian Hoffmann, David S. Lee, Thomas Lemieux
Journal of Economic Perspectives,
No. 4,
2020
Abstract
This paper studies the contribution of both labor and non-labor income in the growth in income inequality in the United States and large European economies. The paper first shows that the capital to labor income ratio disproportionately increased among high-earnings individuals, further contributing to the growth in overall income inequality. That said, the magnitude of this effect is modest, and the predominant driver of the growth in income inequality in recent decades is the growth in labor earnings inequality. Far more important than the distinction between total income and labor income, is the way in which educational factors account for the growth in US labor and capital income inequality. Growing income gaps among different education groups as well as composition effects linked to a growing fraction of highly educated workers have been driving these effects, with a noticeable role of occupational and locational factors for women. Findings for large European economies indicate that inequality has been growing fast in Germany, Italy, and the United Kingdom, though not in France. Capital income and education don't play as much as a role in these countries as in the United States.
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Automation, Globalization and Vanishing Jobs: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
IZA Discussion Paper,
No. 13267,
2020
Abstract
We show, theoretically and empirically, that the effects of technological change associated with automation and offshoring on the labor market can substantially deviate from standard neoclassical conclusions when search frictions hinder efficient assortative matching between firms with heterogeneous tasks and workers with heterogeneous skills. Our key hypothesis is that better matches enjoy a comparative advantage in exploiting automation and a comparative disadvantage in exploiting offshoring. It implies that automation (offshoring) may reduce (raise) employment by lengthening (shortening) unemployment duration due to higher (lower) match selectivity. We find empirical support for this implication in a dataset covering 92 occupations and 16 sectors in 13 European countries from 1995 to 2010.
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The Value of Smarter Teachers: International Evidence on Teacher Cognitive Skills and Student Performance
Eric A. Hanushek, Marc Piopiunik, Simon Wiederhold
Journal of Human Resources,
No. 4,
2019
Abstract
We construct country-level measures of teacher cognitive skills using unique assessment data for 31 countries. We find substantial differences in teacher cognitive skills across countries that are strongly related to student performance. Results are supported by fixed-effects estimation exploiting within-country between-subject variation in teacher skills. A series of robustness and placebo tests indicate a systematic influence of teacher skills as distinct from overall differences among countries in the level of cognitive skills. Moreover, observed country variations in teacher cognitive skills are significantly related to differences in women’s access to high-skill occupations outside teaching and to salary premiums for teachers.
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Urban Occupational Structures as Information Networks: The Effect on Network Density of Increasing Number of Occupations
Shade T. Shutters, José Lobo, Rachata Muneepeerakul, Deborah Strumsky, Charlotta Mellander, Matthias Brachert, Teresa Farinha, Luis M. A. Bettencourt
Plos One,
forthcoming
Abstract
Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.
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TV and Entrepreneurship
Viktor Slavtchev, Michael Wyrwich
IWH Discussion Papers,
No. 17,
2017
Abstract
We empirically analyse whether television (TV) can influence entrepreneurial identity and incidence. To identify causal effects, we utilise a quasi-natural experiment setting. During the division of Germany after WWII into West Germany with a free-market economy and the socialistic East Germany with centrally-planned economy, some East German regions had access to West German public TV that – differently from the East German TV – transmitted images, values, attitudes and view of life compatible with the free-market economy principles and supportive of entrepreneurship. We show that during the 40 years of socialistic regime in East Germany entrepreneurship was highly regulated and virtually impossible and that the prevalent formal and informal institutions broke the traditional ties linking entrepreneurship to the characteristics of individuals so that there were hardly any differences in the levels and development of entrepreneurship between East German regions with and without West German TV signal. Using both, regional and individual level data, we show then that, for the period after the Unification in 1990 which made starting an own business in East Germany, possible again, entrepreneurship incidence is higher among the residents of East German regions that had access to West German public TV, indicating that TV can, while transmitting specific images, values, attitudes and view of life, directly impact on the entrepreneurial mindset of individuals. Moreover, we find that young individuals born after 1980 in East German households that had access to West German TV are also more entrepreneurial. These findings point to second-order effects due to inter-personal and inter-generational transmission, a mechanism that can cause persistent differences in the entrepreneurship incidence across (geographically defined) population groups.
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