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Acemoglu, Daron, David Autor, Jonathon Hazell & Pascual Restrepo (2022): Artificial Intelligence and Jobs: Evidence from Online Vacancies. In: Journal of labor economics, Jg. 40, H. S1, S. S293-S340. DOI:10.1086/718327

Abstract

"We study the impact of artificial intelligence (AI) on labor markets using establishment-level data on the near universe of online vacancies in the United States from 2010 onward. There is rapid growth in AI-related vacancies over 2010–18 that is driven by establishments whose workers engage in tasks compatible with AI’s current capabilities. As these AI-exposed establishments adopt AI, they simultaneously reduce hiring in non-AI positions and change the skill requirements of remaining postings. While visible at the establishment level, the aggregate impacts of AI-labor substitution on employment and wage growth in more exposed occupations and industries is currently too small to be detectable." (Author's abstract, IAB-Doku) ((en))

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Acemoglu, Daron & Pascual Restrepo (2022): Tasks, Automation, and the Rise in U.S. Wage Inequality. In: Econometrica, Jg. 90, H. 5, S. 1973-2016. DOI:10.3982/ECTA19815

Abstract

"We document that between 50% and 70% of changes in the U.S. wage structure over the last four decades are accounted for by relative wage declines of worker groups specialized in routine tasks in industries experiencing rapid automation. We develop a conceptual framework where tasks across industries are allocated to different types of labor and capital. Automation technologies expand the set of tasks performed by capital, displacing certain worker groups from jobs for which they have comparative advantage. This framework yields a simple equation linking wage changes of a demographic group to the task displacement it experiences. We report robust evidence in favor of this relationship and show that regression models incorporating task displacement explain much of the changes in education wage differentials between 1980 and 2016. The negative relationship between wage changes and task displacement is unaffected when we control for changes in market power, deunionization, and other forms of capital deepening and technology unrelated to automation. We also propose a methodology for evaluating the full general equilibrium effects of automation, which incorporate induced changes in industry composition and ripple effects due to task reallocation across different groups. Our quantitative evaluation explains how major changes in wage inequality can go hand‐in‐hand with modest productivity gains." (Author's abstract, IAB-Doku) ((en))

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Arntz, Melanie, Boris Ivanov & Laura Pohlan (2022): Regional Structural Change and the Effects of Job Loss. (ZEW discussion paper 22-019), Mannheim, 55 S.

Abstract

"In vielen Ländern sind routine-intensive Berufe rückläufig, aber wie wirkt sich dies auf die individuelle Karriere aus, wenn der Rückgang dieser Berufe im lokalen Arbeitsmarkt besonders stark ausfällt? Diese Studie zeigt basierend auf administrativen Daten aus Deutschland und einem mit Matching kombinierten Differenz-von-Differenzen-Ansatz, dass die individuellen Kosten eines Arbeitsplatzverlustes stark von der Tätigkeitsorientierung des regionalen Strukturwandels abhängen. Personen aus manuellen routine-intensiven Berufen haben nach einer Entlassung wesentlich höhere und lang anhaltende Beschäftigungs- und Lohnverluste in Regionen, in denen der Rückgang dieser Berufe am stärksten ausgeprägt ist. Regionale und berufliche Mobilität dienen teilweise als Anpassungsmechanismen, sie sind jedoch mit hohen Kosten verbunden, da diese Wechsel auch Verluste bei unternehmensspezifischen Lohnaufschlägen mit sich bringen. Beschäftigte, die nicht entlassen werden, bleiben hingegen weitgehend vom Strukturwandel verschont." (Autorenreferat, IAB-Doku)

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Bachmann, Ronald & Myrielle Gonschor (2022): Technological Progress, Occupational Structure and Gender Gaps in the German Labour Market. (IZA discussion paper 15419), Bonn, 39 S.

Abstract

"We analyze if technological progress and the corresponding change in the occupational structure have improved the relative position of women in the labour market. We show that the share of women rises most strongly in non-routine cognitive and manual occupations, but declines in routine occupations. While the share of women also rises relatively strongly in high-paying occupations, womens' individual-level wages lag behind which implies within-occupation gender wage gaps. A decomposition exercise shows that composition effects with respect to both individual and job characteristics can explain the rise of female shares in the top tier of the labour market to an extent. However, the unexplained part of the decomposition is sizeable, indicating that developments such as technological progress are relevant." (Author's abstract, IAB-Doku) ((en))

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Bachmann, Ronald, Gökay Demir, Colin Green & Arne Uhlendorff (2022): The Role of Within-Occupation Task Changes in Wage Development. (Ruhr economic papers 975), Essen, 41 S. DOI:10.4419/96973140

Abstract

"Wir untersuchen, wie Veränderungen der Aufgabeninhalte im Laufe der Zeit die berufliche Lohnentwicklung beeinflussen. Anhand von Umfragedaten aus Deutschland dokumentieren wir eine erhebliche Heterogenität bei der Veränderung von Aufgabeninhalten innerhalb eines Berufes. Kombiniert man diese Erkenntnisse mit administrativen Daten zu individuellen Beschäftigungsergebnissen über einen Zeitraum von 25 Jahren, so stellt man fest, dass es eine erhebliche Heterogenität in Bezug auf Lohneinbußen bei ursprünglich routineintensiven Tätigkeiten gibt. Während Berufe, die (relativ) routineintensiv bleiben, erhebliche Lohneinbußen mit sich bringen, bleiben die Löhne in Berufen mit abnehmender Routineintensität stabil oder steigen sogar. Diese Ergebnisse lassen sich nicht durch Kompositions- oder Kohorteneffekte erklärt werden." (Autorenreferat, IAB-Doku)

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Berg, Janine, Francis Green, Laura Nurski & David Spencer (2022): Risks to job quality from digital Technologies: are industrial relations in Europe ready for the challenge? (Working paper / Bruegel 2022,16), Brussels, 31 S.

Abstract

"We examine the job quality effects of new digital technologies in Europe, using the framework of seven job quality ‘domains’: pay, working time quality, prospects, skills and discretion, work intensity, social environment and physical environment. The theoretical effects from new technology are ambivalent for all domains. Data on robot shocks matched to the European Working Conditions Surveys for 2010 and 2015 is used to generate empirical estimates, which show significant aggregate negative effects in three domains, and a positive effect in one. Some negative effects are enhanced where there is below-median collective bargaining. In light of these analyses, and in order to think through the challenge of regulating the development and implementation of all forms of digital technologies, we review regulations in several European countries. Drawing on the principles of human-centred design, we advance the general hypothesis that worker participation is important for securing good job quality outcomes, at both the innovation and adoption stages. We also consider the application to the regulation of job quality of national and supra-national data protection legislation. In these ways, the paper extends the debate about the future of work beyond employment and pay, to a consideration of job quality more broadly." (Author's abstract, IAB-Doku) ((en))

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Cords, Dario & Klaus Prettner (2022): Technological unemployment revisited: automation in a search and matching framework. In: Oxford economic papers, Jg. 74, H. 1, S. 115-135. DOI:10.1093/oep/gpab022

Abstract

"Will automation raise unemployment and what is the role of education in this context? To answer these questions, we propose a search and matching model of the labour market with two skill types and with industrial robots. In line with evidence to date, robots are better substitutes for low-skilled workers than for high-skilled workers. We show that robot adoption leads to rising unemployment and falling wages of low-skilled workers and falling unemployment and rising wages of high-skilled workers. In a calibration to Austrian and German data, we find that robot adoption destroys fewer low-skilled jobs than the number of high-skilled jobs it creates. For Australia and the USA, the reverse holds true. Allowing for endogenous skill acquisition of workers implies positive employment effects of automation in all four countries. Thus, the firm creation mechanism in the search and matching model and skill acquisition are alleviating the adverse effects of automation." (Author's abstract, IAB-Doku) ((en))

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Gries, Thomas & Wim Naudé (2022): Modelling artificial intelligence in economics. In: Journal for labour market research, Jg. 56. DOI:10.1186/s12651-022-00319-2

Abstract

"We provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions." (Author's abstract, IAB-Doku, © Springer) ((en))

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(2022): Atlas der digitalen Arbeit. Daten und Fakten über die Beschäftigung der Zukunft. Berlin ; Düsseldorf, 54 S.

Abstract

"Der Atlas der digitalen Arbeit blickt auf viele verschiedene Branchen: Auto, Chemie und Pharma, aber auch die Pflege und die öffentliche Hand. Es geht um grundlegende Fragen: Wie weit sind smarte Computer und Roboter in diesen Bereichen auf dem Vormarsch? Welche Folgen hat das für die Beschäftigten? Wie viel verdienen Menschen in digitalen Berufen? Was verändert sich in der Berufsausbildung? Macht Homeoffice glücklich? Profitieren Frauen und Männer gleichermaßen von den Vorteilen der digitalen Arbeitswelt? Der neue Atlas der digitalen Arbeit, den die Hans-Böckler-Stiftung und der Deutsche Gewerkschaftsbund (DGB) herausgeben, bildet zahlreiche Aspekte der Arbeitswelt von heute ab und bringt Entwicklungstrends auf den Punkt. Mit kurzen Texten und prägnanten, aktuellen Infografiken, gestaltet von der renommierten Berliner Atlasmanufaktur. Eine solide Grundlage, um über die Arbeit der Zukunft zu diskutieren." (Autorenreferat, IAB-Doku)

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Hornuf, Lars & Daniel Vrankar (2022): Hourly Wages in Crowdworking: A Meta-Analysis. (CESifo working paper 9540), München, 38 S.

Abstract

"In the past decade, crowdworking on online labor market platforms has become the main source of income for a growing number of people worldwide. This development has led to increasing political and scientific interest in the wages that people can earn on such platforms. In this article, we extend the literature based on a single platform, region, or category of crowdworking by conducting a meta-analysis of the prevalent hourly wages. After a systematic and rigorous literature search, we consider 20 primary empirical studies, including 104 wages and 76,282 data points from 22 platforms, eight different countries, and a time span of 12 years. We find that, on average, microwork results in an hourly wage of less than $6. This wage is significantly lower than the mean wage of online freelancers, which is roughly three times higher. We find that hourly wages accounting for unpaid work, such as searching for tasks and communicating with requesters, tend to be significantly lower than wages not considering unpaid work. Legislators and researchers evaluating wages in crowdworking should be aware of this bias when assessing hourly wages, given that the majority of the literature does not account for the effect of unpaid work time on crowdworking wages. To foster the comparability of different research results, we suggest that scholars consider a wage malus to account for unpaid work. Finally, we find that hourly wages collected through surveys tend to be lower than wages collected via browser plugins or other technical data collection methods." (Author's abstract, IAB-Doku) ((en))

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Korinek, Anton & Megan Juelfs (2022): Preparing for the (Non-Existent?) Future of Work. (NBER working paper 30172), Cambridge, Mass, 42 S. DOI:10.3386/w30172

Abstract

"This paper considers the labor market and distributional implications of a scenario of ever-more-intelligent autonomous machines that substitute for human labor and drive down wages. We lay out three concerns arising from such a scenario and evaluate recent predictions and objections to these concerns. Then we analyze how a utilitarian social planner would allocate work and income if these concerns start to materialize. As the income produced by autonomous machines rises and the value of labor declines, a utilitarian planner finds it optimal to phase out work, beginning with workers who have low labor productivity and job satisfaction, since they have comparative advantage in enjoying leisure. This is in stark contrast to welfare systems that force individuals with low labor productivity to work. If there are significant wage declines, avoiding mass misery will require other ways of distributing income than labor markets, whether via sufficiently well-distributed capital ownership or via benefits. Recipients could still engage in work for its own sake if they enjoy work amenities such as structure, purpose and meaning. If work gives rise to positive externalities such as social connections or political stability, or if individuals undervalue the benefits of work because of internalities, then a social planner would incentivize work. However, in the long run, the planner might be able to achieve a higher level of social welfare by adopting alternative ways of providing these benefits." (Author's abstract, IAB-Doku) ((en))

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Ocampo, Sergio (2022): A Task-Based Theory of Occupations with Multidimensional Heterogeneity. (Centre for Human Capital and Productivity (CHCP) working paper series 2022-02), London, Ontario, 64 S.

Abstract

"I develop an assignment model of occupations with multidimensional heterogeneity in production tasks and worker skills. Tasks are distributed continuously in the skill space, whereas workers have a discrete distribution with a finite number of types. Occupations arise endogenously as bundles of tasks optimally assigned to a type of worker. The model allows us to study how occupations respond to changes in the economic environment, making it useful for analyzing the implications of automation, skill-biased technical change, offshoring, and worker training. Using the model, I characterize how wages, the marginal product of workers, the substitutability between worker types, and the labor share depend on the assignment of tasks to workers. I introduce automation as the choice of the optimal size and location of a mass of identical robots in the task space. Automation displaces workers by replacing them in the performance of tasks, generating a cascading effect on other workers as the boundaries of occupations are redrawn." (Author's abstract, IAB-Doku) ((en))

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Ricci, Andrea, Claudia Vittori, Francesco Quartaro & Stefano Dughera (2022): Technological externalities and wages: new evidence from Italian provinces. (INAPP working paper / Istituto nazionale per l’analisi delle politiche pubbliche 85), Rom, 23 S.

Abstract

"In this paper, we investigate the relationship between local wages and the internal structure of the regional knowledge base. The purpose is to assess if the workers' compensations are related to the peculiarities of the technological space where they supply their labor services. To test this hypothesis, we apply the concepts of related and unrelated variety to the firms' patenting activity as to assess if wages grow more in a framework of 'knowledge deepening' (generated by firms innovating in related technological domains) or in one of 'knowledge widening' (generated by firms innovating in unrelated technological domains)." (Author's abstract, IAB-Doku) ((en))

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Roy, Shreya, Sugata Marjit & Bibek Ray Chaudhuri (2022): Role of Artificial Intelligence in Intra-Sectoral Wage Inequality in an Open Economy. A Finite Change Approach. (CESifo working paper 9862), München, 27 S.

Abstract

"Artificial Intelligence (AI) has the potential to significantly impact the income of individuals. Cross-country data shows that introduction of AI is inequality enhancing in developing and less developed countries. In this paper, we attempt to understand the reason for increase in wage inequality across labourers due to introduction of AI, in a finite change General Equilibrium (GE) set up which allows for emergence of a new activity. AI-induced technological shock is introduced in the non-traded sector of an open economy with heterogeneous skills. We show how the advent of AI (which was initially non-existent) in the non-traded sector separates the skills of the once homogenous workers, thus, creating an intra-sectoral wage gap. What proportion of the low-skilled workers can move to the higher wage paying sector depends on an adaptability factor that acts as an eligibility criterion in fragmenting the erstwhile homogenous labourers and also works towards rising intra-group wage gap." (Author's abstract, IAB-Doku) ((en))

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Stamegna, Marco (2022): Wage inequality and induced innovation in a classical-Marxian growth model. (MPRA paper / University Library of Munich 113805), München, 37 S.

Abstract

"The present paper works out a classical-Marxian growth model with an endogenous direction of technical change and a heterogeneous labour force, made up of high-skilled and low-skilled workers. It draws on the Kaleckian mark-up pricing to link wage inequality to the relative unit labour cost at a firm level; on growth cycle models à la Goodwin to formalize the dynamic interaction between labour market and distributive shares of income; on the induced innovation literature to link the bias of technical change to the firm's choice of the optimal combination of factor-augmenting technologies. We assume that economic growth is constrained by the growth rate of the high-skilled effective labour supply, whereas the low-skilled labour supply is perfectly elastic. Thus, we develop a three-dimensional system of differential equations for the output-capital ratio, the relative unit labour cost and the employment rate of the high-skilled workers, and investigate the stability and the main properties of the steady-state equilibrium. We find that, in contrast to the neoclassical literature on skill-biased technical change, the institutional framework governing the conflict over income distribution is the ultimate determinant of both wage inequality and the direction of technical change. A decline in low-skilled workers' bargaining strength or a rise in product market concentration lead to both an increase in wage inequality and a bias of technical change favouring high-skilled over low-skilled labour productivity growth. As opposed to the Goodwin model with induced technical change and homogeneous labour force, labour market institutions thus affect steady-state income distribution, capital accumulation and labour productivity growth, and no necessary trade-off arises between labour market regulation and employment. Finally, if the steady-state value of wage inequality exceeds a critical value, an exogenous increase in the mark-up or in the high-skilled workers' bargaining power" (Author's abstract, IAB-Doku) ((en))

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Aksoy, Cevat Giray, Berkay Özcan & Julia Philipp (2021): Robots and the Gender Pay Gap in Europe. In: European Economic Review, Jg. 134. DOI:10.1016/j.euroecorev.2021.103693

Abstract

"Could robotization make the gender pay gap worse? We provide the first large-scale evidence on the impact of industrial robots on the gender pay gap using data from 20 European countries. We show that robot adoption increases both male and female earnings but also increases the gender pay gap. Using an instrumental variable strategy, we find that a ten percent increase in robotization leads to a 1.8 percent increase in the gender pay gap. These results are driven by countries with high initial levels of gender inequality and can be explained by the fact that men at medium- and high-skill occupations disproportionately benefit from robotization, through a productivity effect. We rule out the possibility that our results are driven by mechanical changes in the gender composition of the workforce." (Author's abstract, IAB-Doku, © 2021 Elsevier) ((en))

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Bertinelli, Luisito, Olivier Cardi & Romain Restout (2021): Labor Market Effects Of Technology Shocks Biased Toward The Traded Sector. (Documents de travail / Bureau d'Économie Théorique et Appliquée 2021-09), Sraßburg, 154 S.

Abstract

"Motivated by recent evidence pointing at an increasing contribution of asymmetric shocks across sectors to economic fluctuations, we explore the labor market effects of technology shocks biased toward the traded sector. Our VAR evidence for seventeen OECD countries reveals that the non-traded sector alone drives the increase in total hours worked following a technology shock that increases permanently traded relative to non-traded TFP. The shock gives rise to a reallocation of labor which contributes to 35% on average of the rise in non-traded hours worked. Both labor reallocation and variations in labor income shares are found empirically connected with factor-biased technological change. Our quantitative analysis shows that a two-sector open economy model with flexible prices can reproduce the labor market effects we document empirically once we allow for technological change biased toward labor together with additional specific elements. When calibrating the model to country-specific data, its ability to account for the cross-country reallocation and redistributive effects we estimate increases once we let factor-biased technological change vary between sectors and across countries." (Author's abstract, IAB-Doku) ((en))

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Bonin, Holger, Susanne Steffes, Annette Hillerich-Sigg, Annabelle Krause-Pilatus & Ulf Rinne (2021): Auswirkungen der Digitalisierung der Arbeitswelt auf die Erwerbstätigkeit von Frauen. Kurzexpertise im Auftrag des Bundesministeriums für Arbeit und Soziales. (IZA research report 107), Bonn, 57 S.

Abstract

"Der digitale Wandel verändert die Beschäftigungschancen in einzelnen Branchen und Berufen unterschiedlich, und auch der digitale Wandel am individuellen Arbeitsplatz kann sich in Form und Intensität sehr verschieden gestalten. Wegen der anhaltenden Geschlechterunterschiede in der Arbeitswelt könnten die mit der Digitalisierung einhergehenden Veränderungen die Beschäftigungs- und Einkommenschancen von Frauen systematisch anders verändern als Männer. Dabei schafft der technologische Wandel am Arbeitsmarkt sowohl Risiken, dass sich die Disparitäten zwischen den Geschlechtern vergrößern, als auch Chancen für Frauen, ihre Stellung im Arbeitsmarkt im Verhältnis zu den Männern zu verbessern. Vor diesem Hintergrund gibt diese Kurzexpertise einen fundierten Überblick über die Erkenntnisse der nationalen und internationalen Forschung zu den Chancen und Risiken, die der digitale Wandel am Arbeitsmarkt spezifisch für Frauen mit sich bringen kann." (Autorenreferat, IAB-Doku)

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Demirel, Pelin, Ekaterina Nemkova & Rebecca Taylor (2021): Reproducing Global Inequalities in the Online Labour Market: Valuing Capital in the Design Field. In: Work, Employment and Society, Jg. 35, H. 5, S. 914-930. DOI:10.1177/0950017020942447

Abstract

"Millions of freelancers work on digital platforms in the online labour market (OLM). The OLM´s capacity to both undermine and reproduce labour inequalities is a theme in contemporary platform economy debates. What is less well understood is how processes of social (re)production take place in practice for diverse freelancers on global platforms. Drawing on a study of freelance designers, we use Bourdieus notions of capital and field to explore the specific rules of the game and the symbolic valuing of skills and identities that secure legitimacy and advantage in the OLM. We contribute to contemporary debates by illuminating the power of Global North actors to shape freelancer positions and hierarchies in the online design field. The cost advantages of Global South workers are counterbalanced by the symbolic legitimising of specific cultural and social practices (specifically in relation to language) and the devaluing of others." (Author's abstract, IAB-Doku) ((en))

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Genz, Sabrina, Terry Gregory, Markus Janser, Florian Lehmer & Britta Matthes (2021): How Do Workers Adjust When Firms Adopt New Technologies? (IZA discussion paper 14626), Bonn, 56 S.

Abstract

"We investigate how workers adjust to firms' investments into new digital technologies, including artificial intelligence, augmented reality, or 3D printing. For this, we collected novel data that links survey information on firms' technology adoption to administrative social security data. We then compare individual outcomes between workers employed at technology adopters relative to non-adopters. Depending on the type of technology, we find evidence for improved employment stability, higher wage growth, and increased cumulative earnings in response to digital technology adoption. These beneficial adjustments seem to be driven by technologies used by service providers rather than manufacturers. However, the adjustments do not occur equally across worker groups: IT-related expert jobs with non-routine analytic tasks benefit most from technological upgrading, coinciding with highly complex job requirements, but not necessarily with more academic skills." (Author's abstract, IAB-Doku) ((en))

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Haidar, Julieta & Miska Keune (Hrsg.) (2021): Work and Labour Relations in Global Platform Capitalism. (ILERA Publication series), Cheltenham: Elgar, 288 S. DOI:10.4337/9781802205138

Abstract

"This engaging and timely book provides an in-depth analysis of work and labour relations within global platform capitalism with a specific focus on digital platforms that organise labour processes, known as labour platforms. Well-respected contributors thoroughly examine both online and offline platforms, their distinct differences and the important roles they play for both large transnational companies and those with a smaller global reach." (Author's abstract, © Edward Elgar Publishing) ((en))

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Kogan, Leonid, Dimitris Papanikolaou, Lawrence D. W. Schmidt & Bryan Seegmiller (2021): Technology-Skill Complementarity and Labor Displacement: Evidence from Linking Two Centuries of Patents with Occupations. (NBER working paper 29552), Cambridge, Mass, 66 S. DOI:10.3386/w29552

Abstract

"We construct new technology indicators using textual analysis of patent documents and occupation task descriptions that span almost two centuries (1850–2010). At the industry level, improvements in technology are associated with higher labor productivity but a decline in the labor share. Exploiting variation in the extent certain technologies are related to specific occupations, we show that technological innovation has been largely associated with worse labor market outcomes—wages and employment—for incumbent workers in related occupations using a combination of public-use and confidential administrative data. Panel data on individual worker earnings reveal that less educated, older, and more highly-paid workers experience significantly greater declines in average earnings and earnings risk following related technological advances. We reconcile these facts with the standard view of technology-skill complementarity using a model that allows for skill displacement." (Author's abstract, IAB-Doku) ((en))

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Montobbio, Fabio, Jacopo Staccioli & Marco Vivarelli (2021): Labour-saving automation and occupational exposure: A text-similarity measure. (UNU-MERIT Working Paper 2021,44), Maastricht, 37 S.

Abstract

"This paper represents one of the first attempts at building a direct measure of occupational exposure to robotic labour-saving technologies. After identifying robotic and LS robotic patents retrieved by Montobbio et al. (2022), the underlying 4-digit CPC definitions are employed in order to detect functions and operations performed by technological artefacts which are more directed to substitute the labour input. This measure allows to obtain fine-grained information on tasks and occupations according to their similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, complemented by investigating industry and geographical penetration rates." (Author's abstract, IAB-Doku) ((en))

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O'Higgins, Niall & Luis Pinedo Caro (2021): Crowdwork for Young People: Risks and Opportunities. (IZA discussion paper 14933), Bonn, 41 S.

Abstract

"In recent years, crowdworking has emerged as a small but rapidly growing source of employment and income principally for young(er) people. Here, we build on previous work in identifying the determinants of crowdworkers' earnings. We focus on the reasons why young crowdworkers earn significantly higher hourly wages than their older counterparts. We show that this is due to the higher returns to experience accruing to younger crowd-workers. Educational attainment does not explain this age-based differential, as education is a negligible factor in determining crowdworkers' earnings. We also analyse why young women earn around 20% less than their male counterparts despite blind hiring. We confirm that this is partly explained by constraints on working time faced by women with children. The analysis also shows that 'freely chosen' crowdwork - as opposed to, young people crowd-working because of a lack of alternative employment opportunities - is conducive to higher levels of job satisfaction. Moreover, young crowdworkers in middle income countries earn less than their counterparts in high income countries but report higher levels of job satisfaction. This is entirely attributable to the lower quality of their options outside of crowdwork." (Author's abstract, IAB-Doku) ((en))

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Weche, John P. & Joachim Wagner (2021): Markups and Concentration in the Context of Digitization: Evidence from German Manufacturing Industries. In: Jahrbücher für Nationalökonomie und Statistik, Jg. 241, H. 5/6, S. 667-699. DOI:10.1515/jbnst-2020-0046

Abstract

"Recent empirical studies suggest that there is a rising trend of market power across sectors in advanced economies. We contribute to this line of research by providing industry-specific evidence for German manufacturing industries, based on representative high-quality firm-level data from official statistics that cover firms from all size classes with more than 20 employees (2005–2013). We compare firm-specific markups and industry concentration as market power indicators that reflect a market structure and a performance perspective, respectively. Our results do not suggest an overall average increase in market power in German manufacturing, but increasing markups and an increasing concentration in many industries. We demonstrate the complementarity of the indicators, as predicted by industrial organization theory. We also evaluate the competitive impact of digitization and find no clear evidence that digital transformation and market power go hand in hand." (Author's abstract, IAB-Doku, © De Gruyter) ((en))

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Aksoy, Cevat Giray, Berkay Ozcan & Julia Philipp (2020): Robots and the Gender Pay Gap in Europe. (IZA discussion paper 13482), 48 S.

Abstract

"Could robotization make the gender pay gap worse? We provide the first large-scale evidence on the impact of industrial robots on the gender pay gap using data from 20 European countries. We show that robot adoption increases both male and female earnings but also increases the gender pay gap. Using an instrumental variable strategy, we find that a ten percent increase in robotization leads to a 1.8 percent increase in the gender pay gap. These results are mainly driven by countries with high levels of gender inequality and outsourcing destination countries. We then explore the mechanisms behind this effect and find that our results can be explained by the fact that men at medium- and high-skill occupations disproportionately benefit from robotization (through a productivity effect). We rule out the possibility that our results are driven by mechanical changes in the gender composition of the workforce nor by inflows or outflows from the manufacturing sector." (Author's abstract, IAB-Doku) ((en))

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Brall, Franziska & Ramona Schmid (2020): Automation, Robots and Wage Inequality in Germany. A decomposition Analysis. (Hohenheim discussion papers in business, economics and social sciences 14-2020), Stuttgart, 71 S.

Abstract

"We analyze how and through which channels wage inequality is affected by the rise in automation and robotization in the manufacturing sector in Germany from 1996 to 2017. Combining rich linked employer-employee data accounting for a variety of different individual, firm and industry characteristics with data on industrial robots and automation probabilities of occupations, we are able to disentangle different potential causes behind changes in wage inequality in Germany. We apply the recentered influence function (RIF) regression based Oaxaca-Blinder (OB) decomposition on several inequality indices and find evidence that besides personal characteristics like age and education the rise in automation and robotization contributes significantly to wage inequality in Germany. Structural shifts in the workforce composition towards occupations with lower or medium automation threat lead to higher wage inequality, which is observable over the whole considered time period. The effect of automation on the wage structure results in higher inequality in the 1990s and 2000s, while it has a significant decreasing inequality effect for the upper part of the wage distribution in the more recent time period." (Autorenreferat, IAB-Doku)

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Hensel, Isabell (2020): Genderaspekte von Plattformarbeit. Stand in Forschung und Literatur : Expertise für den Dritten Gleichstellungsbericht der Bundesregierung. (Dritter Gleichstellungsbericht der Bundesregierung), Berlin, 125 S.

Abstract

"Die Vermittlung von lokalen oder virtuellen Dienstleistungen über web-basierte Plattformen, auch Gig-, Cloud-, Crowd- oder Click-Work genannt, gewinnt im Zuge der Digitalisierung zunehmend an Bedeutung. Diese neue Form der Arbeitsorganisation geht mit gravierenden Auswirkungen auf Arbeitsverhältnisse und Beschäftigungsstrukturen einher. Gerade für Frauen verspricht das Geschäftsmodell oftmals zeitlich flexible Arbeit, Wiedereinstiegsmöglichkeiten und Vereinbarkeit. Welche geschlechtsbezogenen Auswirkungen sie tatsächlich haben, ist meist kein Thema. Dabei weist etwa die US-amerikanische Literatur auf zahlreiche Genderaspekte hin, beispielweise unterschiedliche Vergütungen von Frauen und Männern, Zugangsbarrieren, Vereinbarkeitsdruck, sexuelle Belästigung und körperliche Übergriffe oder auch diskriminierende Algorithmen. Die Sachverständigenkommission hat Dr. Isabell Hensel beauftragt, die deutsche und US-amerikanische Literatur zu Gender und Plattformarbeit im Hinblick auf gleichstellungsrelevante Kernthemen auszuwerten. Die nun vorliegende Expertise beantwortet die Frage, welche Genderaspekte im Rahmen von Plattformarbeit thematisiert werden und zeigt gleichstellungsrelevante Chancen und Risiken, Datenlücken und Forschungsbedarf auf. Zudem thematisiert Isabell Hensel zahlreiche gleichstellungsorientierte Handlungsoptionen." (Autorenreferat, IAB-Doku)

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Keller, Berndt & Hartmut Seifert (2020): Soziale Risiken der Digitalisierung – Regulierungsbedarfe der Beschäftigungsverhältnisse. In: Industrielle Beziehungen, Jg. 27, H. 2, S. 227-249. DOI:10.3224/indbez.v27i2.07

Abstract

"Der Beitrag behandelt die absehbaren sozialen Risiken der Digitalisierung und unterbreitet eine Reihe von Vorschlägen zur Regulierung der zukünftigen Beschäftigungsverhältnisse. Der erste Teil präsentiert auf der Basis von Projektionen einen Referenzrahmen zur Entwicklung des Arbeitsmarktes. Danach unterscheiden wir drei Gruppen von sozialen Risiken, die zeitlich gestaffelt werden: kurzfristig Einkommen, mittelfristig Weiterbildung, langfristig Alterssicherung. Im Mittelpunkt stehen die besonders betroffenen Gruppen der (Solo-)Selbstständigen und Plattformbeschäftigten." (Autorenreferat, IAB-Doku)

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Krzywdzinski, Martin (2020): Automatisierung, Digitalisierung und Wandel der Beschäftigungsstrukturen in der Automobilindustrie. Eine kurze Geschichte vom Anfang der 1990er bis 2018. (Wissenschaftszentrum Berlin für Sozialforschung. Discussion papers SP 3 2020-302), Berlin, 64 S.

Abstract

"In der gegenwärtigen Diskussion gilt es als sicher, dass wir in einer Zeit rasant fortschreitender Automatisierung leben, die insbesondere durch den Einsatz von Robotern vorangetrieben wird. Die Roboterdichte gilt dementsprechend in vielen Publikationen als der zentrale Indikator der Automatisierung. Die vorliegende Studie stellt diese Argumentation in Frage. Sie untersucht zwei zentrale Fragen: Erstens, welche Ansätze der Automatisierung und Digitalisierung werden in der Automobilindustrie in Deutschland, Japan und den USA verfolgt? Zweitens, wie haben sich die Beschäftigung und ihre Zusammensetzung nach Tätigkeitsgruppen in der Automobilindustrie in den drei Ländern entwickelt? Der erste Teil der Studie fokussiert auf die Entwicklung der Automatisierungs- und Digitalisierungsansätze in der Automobilindustrie seit Anfang der 1990er Jahre bis heute. Er kombiniert eine qualitative Analyse der Fachpresse der Automobilbranche sowie eine quantitative Auswertung der Entwicklung des Roboterbestands von 1993 bis 2018 basierend auf den Statistiken der International Federation of Robotics. Im zweiten Teil der Studie wird der Wandel der Beschäftigungsstrukturen anhand von Berufsstatistiken des Bureau of Labor Statistics (USA), der Bundesagentur für Arbeit (Deutschland) und des Statistics Bureau of Japan untersucht. Die Studie stellt die Wahrnehmung einer automatisierungsbedingten Bedrohung von Beschäftigung und insbesondere von Produktionsbeschäftigung in Frage. Sie diskutiert zugleich die Entwicklungen in Deutschland, Japan und den USA im Vergleich und verdeutlicht Unter-schiede der Automatisierung- und Digitalisierungsansätze sowie auch unterschiedliche Pfade des Wandels von Beschäftigungsstrukturen." (Autorenreferat, IAB-Doku)

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Perez-Laborda, Alejandro & Fidel Perez-Sebastian (2020): Capital-skill complementarity and biased technical change across US sectors. In: Journal of macroeconomics, Jg. 66. DOI:10.1016/j.jmacro.2020.103255

Abstract

"The goal of this paper is two-fold. First, we reexamine the evidence for the capital-skill complementarity (CSC) and the skill-biased technological change (SBTC) hypotheses at the sectoral level in the US economy for the period 1970–2005. Second, we quantify their effect on the evolution of the wage skill premium. To do so, we estimate a translog model with three production factors (skilled labor, unskilled labor, and capital) for different sets of industry aggregates suggested by the literature. At the aggregated level, we find that both CSC and SBTC explain a substantial part of the observed change in the skill premium. The CSC hypothesis also receives support across sectors, although SBTC often explains a larger part of the premium change. We also find that the relevance of CSC increases with the level of aggregation of the data. Besides, when we disaggregate capital into ICT and non-ICT, our results suggest that often ICT capital is not the primary source of CSC. However, ICT-CSC is the most important driver of the skill premium in specific sectors, such as financial and business services." (Author's abstract, IAB-Doku, © 2020 Elsevier) ((en))

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Pimminger, Irene & Nadja Bergmann (2020): Gleichstellungsrelevante Aspekte der Digitalisierung der Arbeitswelt in Deutschland. Expertise für den Dritten Gleichstellungsbericht der Bundesregierung. (Dritter Gleichstellungsbericht der Bundesregierung), Berlin, 56 S.

Abstract

"Die Digitalisierung verändert die Arbeitswelt. Wie diese Veränderungen konkret aussehen, ist gut erforscht und durch zahlreiche Studien belegt. Die Frage, wie sie sich auf die Gleichstellung von Frauen und Männern auswirken, war dagegen lange kein Thema. Doch mittlerweile steigt das wissenschaftliche Interesse: Wie verändern sich die Beschäftigungschancen von Frauen und von Männern insgesamt? Gibt es Erkenntnisse im Hinblick auf Einkommensunterschiede und soziale Sicherung? Sind Veränderungen für die Vereinbarkeit von Beruf und Privatleben zu erwarten? In ihrer Expertise „Gleichstellungsrelevante Aspekte der Digitalisierung der Arbeitswelt in Deutschland“ untersuchen Dr. Irene Pimminger von defacto - Sozialwissenschaftliche Forschung und Beratung und Nadja Bergmann von L&R Sozialforschung, inwieweit solche gleichstellungsrelevanten Fragen in der Fach- und Forschungsliteratur zur Digitalisierung der Arbeitswelt thematisiert werden. Die Autorinnen diskutieren zudem, ob und wie eine Gender Budgeting Analyse im Feld der Forschungsförderung zu Digitalisierung machbar wäre. Diese sollte ermöglichen, dass finanzielle Mittel gleichstellungsorientiert verteilt und (Forschungs-)Lücken vermieden werden. Nicht zuletzt zeigen Dr. Irene Pimminger und Nadja Bergmann mit ihrer Expertise gleichstellungspolitische Wege auf, um möglichen geschlechtsbezogenen Ungleichgewichten gegenzusteuern." (Autorenreferat, IAB-Doku)

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(2020): Gender equality index 2020. Digitalisation and the future of work. (Gender equality index …), Vilnius, 178 S. DOI:10.2839/79077

Abstract

"The coronavirus disease (COVID-19) pandemic was a wake-up call for gender equality in Europe. It reminded us about everyday gender inequalities in our society that often go unnoticed – from the shortage of men working in the care sector to the reality of violence facing women in abusive relationships. While it will still take time to fully understand the consequences of COVID-19 for gender equality, it’s clear that it poses a serious threat to the fragile achievements made over the past decade. This year, the Index report focuses on the effects of digitalisation on the world of work and the consequences for gender equality. This topic is extremely relevant in the light of the COVID-19 pandemic, and the ways in which the working lives of women and men have been affected by it. New types of jobs and innovative ways of working through online platforms were analysed to gain an understanding of who is doing these jobs and whether they help or hinder gender equality. With a detailed analysis for the EU and each Member State, the Index shows country-level achievements and areas for improvement. More than ever, policymakers need the data that the Index provides. We hope that our findings will help Europe’s leaders to design future solutions that are inclusive and promote gender equality in our post-COVID-19 society." (Author's abstract, IAB-Doku) ((en))

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Abel, Christine, David Voggeser & Verena Vandervelt (2019): Flexibilisierung und Individualisierung in der Vergütung. Zwischen Bewährtem und neuen Lösungen für New Work. In: Personalführung, Jg. 52, H. 9, S. 14-19.

Abstract

"Der Wandel in der Unternehmens- und Arbeitswelt macht auch vor dem Vergütungsmanagement nicht halt. Allein die Frage, wie agile Rollen und sich rasch verändernde Organisationsstrukturen effizient mit einer Funktionsbewertung erfasst werden können, mach dies deutlich. Die Unternehmensberatung hkp/// group ist davon überzeugt, dass weder die Funktionsbewertung obsolet geworden ist noch eine stärkere Differenzierung bei den Festgehältern bereits allerorten besser funktioniert als der individuelle Bonus. Das Cafeteriamodell erlebt dank technischer Möglichkeiten jedenfalls eine Renaissance und mit 'Freedom within a frame' könnten Unternehmen einen Ansatz gefunden haben, Flexibilisierung in der Vergütung aufzulösen." (Autorenreferat, © Bertelsmann Verlag)

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Aepli, Manuel (2019): Technological change and occupation mobility: A task-based approach to horizontal mismatch. (GLO discussion paper / Global Labor Organization 361), Maastricht, 48 S.

Abstract

"Technological change and its impacts on labour markets are a much-discussed topic in economics. Economists generally assume that new technology penetrating the labour market shifts firms' task demand. Given individuals' acquired and supplied skills, these task demand shifts potentially foster horizontal skill mismatches, e.g. individuals not working in their learned occupations. In this paper, I first analyse the relation between task shifting technological change and individuals' horizontal mismatch incidence. Second, I estimate individuals' mismatch wage penalties triggered by this relation. The present paper proposes an instrumental variable (IV) approach to map this mechanism and to obtain causal estimates on mismatch wage penalties. Applying this empirical strategy yields a wage penalty of roughly 12% for horizontally mismatched individuals." (Author's abstract, IAB-Doku) ((en))

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Barbieri, Laura, Chiara Mussida, Mariacristina Piva & Marco Vivarelli (2019): Testing the employment and skill impact of new technologies. A survey and some methodological issues. (GLO discussion paper / Global Labor Organization 397), Maastricht, 21 S.

Abstract

"The present technological revolution, characterized by the pervasive and growing presence of robots, automation, Artificial Intelligence and machine learning, is going to transform societies and economic systems. However, this is not the first technological revolution humankind has been facing, but it is probably the very first one with such an accelerated diffusion pace involving all the industrial sectors. Studying its mechanisms and consequences (will the world turn into a jobless society or not?), mainly considering the labor market dynamics, is a crucial matter. This paper aims at providing an updated picture of main empirical evidence on the relationship between new technologies and employment both in terms of overall consequences on the number of employees, tasks required, and wage/inequality effect." (Author's abstract, IAB-Doku) ((en))

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Becker, Sebastian (2019): Digitaler Strukturwandel und der Sozialstaat im 21. Jahrhundert. (EU-Monitor), Frankfurt am Main, 32 S.

Abstract

"Die Digitalisierung verspricht große Wohlstandsgewinne, droht jedoch die Ungleichheiten zu erhöhen. Die Folgen einer großen Automatisierungswelle bzw. zunehmend kapitalintensiveren Produktion wären ein Rückgang der gesamtwirtschaftlichen Lohnquote und steigende Unternehmens- und Vermögenseinkommen. Unsere Szenario-Analyse für die EU-Staaten zeigt, dass die europäischen Sozialstaaten bei einem automatisierungsbedingten Beschäftigungsrückgang im Durchschnitt mit einer deutlichen Finanzierungslücke zu kämpfen hätten. Angesichts der ungewissen Auswirkungen der Digitalisierung auf die Arbeitsnachfrage und die Staatsfinanzen sollten Staat und Gesellschaft vorsorgen, u.a. über eine Stärkung der Bildungspolitik und eine Anpassung des internationalen Steuersystems an die Begebenheiten des 21. Jahrhunderts, insbesondere im Bereich der Unternehmensbesteuerung." (Autorenreferat, IAB-Doku)

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Cantarella, Michele & Chiara Strozzi (2019): Workers in the crowd: The labour market impact of the online platform economy. (IZA discussion paper 12327), Bonn, 43 S.

Abstract

"In this paper, we compare wages and labor market conditions of individuals engaged in online platform work and in traditional occupations by exploiting individual-level survey data on crowdworkers belonging to the largest micro-task marketplaces, focusing on evidence from the United States and Europe. To match similar individuals, survey responses of crowdworkers from the US and EU have been harmonised with the American Working Conditions Survey (AWCS) and the European Working Conditions Survey (EWCS). Our findings indicate that traditional workers retain a significant premium in their earnings with respect to online platform workers, and that those differences are not affected by the observed and unobserved ability of individuals. This holds true also taking into account similar levels of routine intensity and abstractness in their jobs, as well as the time spent working. Moreover, labour force in crowdworking arrangements appears to suffer from high levels of under-utilisation, with crowdworkers being more likely to be left wanting for more work than comparable individuals." (Author's abstract, IAB-Doku) ((en))

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Caselli, Francesco & Alan Manning (2019): Robot arithmetic: New technology and wages. In: American economic review. Insights, Jg. 1, H. 1, S. 1-12. DOI:10.1257/aeri.20170036

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Cook, Cody, Rebecca Diamond & Paul Oyer (2019): Older workers and the gig economy. In: AEA papers and proceedings, Jg. 109, S. 372-376. DOI:10.1257/pandp.20191042

Abstract

"As the workforce ages, how will the work lives of older people evolve? One way to ease into retirement is to move to the gig economy where workers choose hours and intensity of work that fit their needs and capabilities. However, older workers are often reaping the benefits of the latter end of an implicit contract while gig economy workers are paid their marginal product. We show that age/earnings profiles in the traditional labor market are different than for Uber drivers. While the move to the gig economy generates flexibility, older workers are paid less than their younger coworkers." (Author's abstract, IAB-Doku) ((en))

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Dosi, G., M. Piva, M. E. Virgillito & M. Vivarelli (2019): Technology and employment in a vertically connected economy. A model and an empirical test. (GLO discussion paper / Global Labor Organization 355), Maastricht, 28 S.

Abstract

"This paper addresses, both theoretically and empirically, the sectoral patterns of job creation and job destruction in order to distinguish the alternative effects of embodied vs disembodied technological change operating into a vertically connected economy. Disembodied technological change turns out to positively affect employment dynamics in the 'upstream'' sectors, while expansionary investment does so in the 'downstream'' industries. Conversely, the replacement of obsolete capital vintages tends to exert a negative impact on labour demand, although this effect turns out to be statistically less robust." (Author's abstract, IAB-Doku) ((en))

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Ellmer, Markus, Benjamin Herr, Dominik Klaus & Thomas Gegenhuber (2019): Platform workers centre stage! Taking stock of current debates and approaches for improving the conditions of platform work in Europe. (Hans-Böckler-Stiftung. Working paper Forschungsförderung 140), Düsseldorf, 74 S.

Abstract

"A growing body of literature seeks to understand the conditions and consequences of platform work for platform workers and society at large. This study takes stock of current literature on platform work in Europe, discerns central debates (terms and definitions, relevance and diffusion, worker motivations and working conditions) and synthesizes knowledge on approaches for improving platform worker's conditions at different levels (worker, platform and regulatory level)." (Author's abstract, IAB-Doku) ((en))

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Genz, Sabrina, Markus Janser & Florian Lehmer (2019): The impact of investments in new digital technologies on wages - worker-level evidence from Germany. In: Jahrbücher für Nationalökonomie und Statistik, Jg. 239, H. 3, S. 483-521., 2019-04-03. DOI:10.1515/jbnst-2017-0161

Abstract

"The strong rise of digitalization, automation, machine learning and other related new digital technologies has led to an intense debate about their societal impacts. The transitions of occupations and the effects on labor demand and workers' wages are still open questions. Research projects dealing with this issue often face a lack of data on the usage of new digital technologies. This paper uses a novel linked employer - employee data set that contains detailed information on establishments' technological upgrading between 2011 and 2016, a recent period of rapid technological progress. Furthermore, we are the first to develop a digital tools index based on the German expert database BERUFENET. The new index contains detailed information on the work equipment that is used by workers. Hence, we observe the degree of digitalization on both the establishment level and the worker level. The data allow us to investigate the impact of technology investments on the wage growth of employees within establishments. Overall, the results from individual level fixed effects estimates suggest that investments in new digital technologies at the establishment level positively affect the wages of the establishments' workers. Sector-specific results show that investments in new digital technologies increase wages in knowledge intensive production establishments and non-knowledge intensive services. The wage growth effects of employees in digital pioneer establishments relative to the specific reference group of workers in digital latecomer establishments are most pronounced for low- and medium-skilled workers." (Author's abstract, © De Gruyter) ((en))

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Gómez-Plana, Antonio G. & María C. Latorre (2019): Digitalization, multinationals and employment: An empirical analysis of their causal relationships. In: Jahrbücher für Nationalökonomie und Statistik, Jg. 239, H. 3, S. 399-439. DOI:10.1515/jbnst-2017-0153

Abstract

"This study measures the effects of digitalization related to Information and Communication Technologies (ICT) investment on employment and other economic variables according to firms' ownership. We present two computable general equilibrium models (with full employment and with unemployment) which differentiate two types of firms: National and foreign multinationals (MNEs). Both types of firms allow for the substitution between labour and ICT capital. We conclude that ICT investments significantly create jobs and raise real wages, GDP and welfare. The aggregate positive effects are stronger for ICT investment in national firms than in foreign MNEs although the sign of some sectoral effects can be negative. We also analyze the role of wage flexibility in this context, with the most favorable results related to scenarios where wages are more rigid for both cases, when investors are national firms or foreign MNEs. The model is applied to the case of Spain, a country with a high unemployment rate where ICT investment has been large since the mid 1990s." (Author's abstract, © De Gruyter) ((en))

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Knobloch, Ulrike & Gesine Stephan (2019): Bericht von der 17. efas-Fachtagung "Gestalten oder gestaltet werden? Perspektiven feministischer Ökonomie auf Digitalisierung". Berlin, o. Sz.

Abstract

"Am 6. Dezember 2019 diskutierten die 80 Teilnehmerinnen und Teilnehmer der 17. efas-Fachtagung an der Hochschule für Technik und Wirtschaft (HTW) Berlin zum Tagungsthema 'Gestalten oder gestaltet werden? Perspektiven feministischer Ökonomie auf Digitalisierung'" (Autorenreferat, IAB-Doku)

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Koustas, Dmitri K. (2019): What do big data tell us about why people take gig economy jobs? In: AEA papers and proceedings, Jg. 109, S. 367-371. DOI:10.1257/pandp.20191041

Abstract

"The gig economy is widely regarded to be a source of secondary or temporary income, but little is known about economic activity outside of the gig economy. Using data from a large, online personal finance application, I document the evolution of non-gig income and household balance sheets surrounding the participation decision for gig economy jobs. This simple analysis reveals striking pretrends in income and assets. In addition to providing insight into the reasons why households enter the gig economy, these findings have potentially important implications for the external validity of previous studies focusing on gig economy activity only." (Author's abstract, IAB-Doku) ((en))

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Mönnig, Anke, Gerd Zika & Tobias Maier (2019): Wirtschaft 4.0 - Wachstumspotenziale bei gleichzeitig steigender Lohnungleichheit? In: B. Kohlrausch, C. Schildmann & D. Voss (Hrsg.) (2019): Neue Arbeit - neue Ungleichheiten? : Folgen der Digitalisierung, S. 110-141.

Abstract

Im Fokus des Beitrags stehen zum einen das Wachstumspotenzial der digitalen Transformation, zum anderen ihre Auswirkungen auf die Lohnverteilung. Für die Analyse verwenden die Autoren ein Kreislaufmodell, das neben der interindustriellen Verflechtung der Wirtschaft auch die Einkommensentstehung, -verwendung und -umverteilung berücksichtigt. 'Die Ergebnisse zeigen, dass die digitale Transformation zwar einerseits zu positiven Wachstumseffekten führt, andererseits aber die Lohnungleichheit verstärkt. Da das allgemeine Lohnniveau steigt, ist die Lohnungleichheit aber hauptsächlich auf einen stärker steigenden Lohn im oberen Verteilungsspektrum zurückzuführen.' (IAB)

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Mönnig, Anke, Tobias Maier & Gerd Zika (2019): Economy 4.0 - Digitalisation and its effect on wage inequality. In: Jahrbücher für Nationalökonomie und Statistik, Jg. 239, H. 3, S. 363-398., 2019-02-01. DOI:10.1515/jbnst-2017-0151

Abstract

"This paper contributes to the discussion of the impact of digital transformation on labour markets by analysing the impact on wage inequality. The novelty of this paper is on the one hand the quantitative approach that applies a macroeconometric input-output model which accounts for circular flow in the economy and feedback loops. Most of the studies on wage inequality and digital transformation focus on ex-post analysis. The applied quantitative model used in this paper also allows to perform ex-ante analysis. This is important, as economy 4.0 is not yet reflected in current datasets which makes statements about the impact of economy 4.0 on wage inequality on basis of ex-post analysis difficult.
On the other hand, it uses the inequality measures S80/S20 that has been applied to a unique dataset on employment and wages. The dataset differentiates on industry and occupational level. That allows to identify industry*occupation combination and their location in the upper and/or lower 20 % share ratio of wage distribution. The analysis demonstrates that digital transformation increases wage inequality, however to a low extent. The increase in wage inequality is already implemented in the reference scenario due to structural and demographic change. Digital transformation strengthens the impact of structural change on wage inequality. Especially in the long run, wage inequality rises stronger than in the reference scenario.
Because the digital transformation scenario does not confirm the polarization hypothesis, the impact of economy 4.0 on wage inequality remains rather low. The increasing demand of high-skilled employees is reflected in an increase in wage inequality. However, the relatively low impact of digitalisation on low-skilled employees prevents a stronger increase in wage inequality." (Author's abstract, © De Gruyter) ((en))

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Ohlert, Clemens & Pauline Boos (2019): Auswirkungen der Digitalisierung auf Geschlechterungleichheiten. Eine empirische Untersuchung auf der Branchenebene. (Discussion papers des Harriet Taylor Mill-Instituts für Ökonomie und Geschlechterforschung der Hochschule für Wirtschaft und Recht Berlin 39), Berlin, 22 S.

Abstract

"Ausgehend von der bisherigen Debatte um die Genderaspekte der Digitalisierung der Arbeit betonen wir eine „digitale Arbeitsmarktsegregation“ als mögliche Ursache für Geschlechterungleichheiten und untersuchen diese empirisch. Die Ergebnisse zeigen, dass Frauen seltener in Branchen und Betrieben mit hohem Digitalisierungsgrad beschäftigt sind als Männer und dass diese Segregation in den letzten Jahren zunahm. Die Unterrepräsentation von Frauen in Branchen mit hohem Digitalisierungsgrad geht mit Nachteilen bei den Verdiensten einher. Die Ergebnisse zeigen zudem, dass der Gender Pay Gap in Branchen mit intensiver Nutzung digitaler Technologien tendenziell größer ist und über die Zeit weniger zurückging als in Branchen, in denen diese Technologien weniger genutzt werden." (Autorenreferat, IAB-Doku)

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Parolin, Zachary (2019): Automation and occupational wage trends. What role for unions and collective bargaining? (OECD social, employment and migration working papers 228), Paris, 48 S. DOI:10.1787/596b32ce-en

Abstract

"Routine-biased technological change has emerged as a leading explanation for the differential wage growth of routine occupations, such as manufacturers or office clerks, relative to less routine occupations. Less clear, however, is how the effects of technological advancement on occupational wage trends vary across political-institutional context. This paper investigates the extent to which collective bargaining agreements and union coverage shape the relative wage growth of automatable occupations. Using data from the Luxembourg Income Study and the United States Current Population Survey, I measure the 'routine task intensity' of occupations across 15 OECD Member States and the 50 United States from the 1980s onward. Findings suggest that bargaining coverage is more consequential for the wage growth of high routine occupations relative to less routine occupations, and that high routine occupations lose coverage at a faster rate when bargaining coverage at the national level declines. As a result, declines in bargaining coverage within a country are associated with declining relative wage growth for automatable occupations. Estimates suggest that had union coverage in the United States not declined from 1984 levels, the earnings of high routine occupations might have grown at the same rate as low pay occupations between 1984 and 2015, rather than experiencing a relative wage decline. However, the findings also suggest that gains in the relative wage growth may increasingly come at the cost of reduced employment shares of automatable occupations." (Author's abstract, IAB-Doku) ((en))