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Digitale Arbeitswelt – Chancen und Herausforderungen für Beschäftigte und Arbeitsmarkt

Der digitale Wandel der Arbeitswelt gilt als eine der großen Herausforderungen für Wirtschaft und Gesellschaft. Wie arbeiten wir in Zukunft? Welche Auswirkungen hat die Digitalisierung auf Beschäftigung und Arbeitsmarkt? Welche Qualifikationen werden künftig benötigt? Wie verändern sich Tätigkeiten und Berufe?
Diese Infoplattform dokumentiert Forschungsergebnisse zum Thema Arbeit 4.0 in den verschiedenen Wirtschaftsbereichen.

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  • Literaturhinweis

    The labour market impact of robotisation in Europe (2022)

    Antón, José-Ignacio ; Klenert, David; Alaveras, Georgios; Fernández-Macías, Enrique ; Urzì Brancati, Maria Cesira;

    Zitatform

    Antón, José-Ignacio, David Klenert, Enrique Fernández-Macías, Maria Cesira Urzì Brancati & Georgios Alaveras (2022): The labour market impact of robotisation in Europe. In: European journal of industrial relations, Jg. 28, H. 3, S. 317-339. DOI:10.1177/09596801211070801

    Abstract

    "This paper explores the impact of robot adoption on European regional labour markets between 1995 and 2015. Specifically, we look at the effect of the usage of industrial robots on jobs and employment structures across European regions. Our estimates suggest that the effect of robots on employment tends to be mostly small and negative during the period 1995–2005 and positive during the period 2005–2015 for the majority of model specifications. Regarding the effects on employment structures, we find some evidence of a mildly polarising effect in the first period, but this finding depends to some extent on the model specifications. In sum, this paper shows that the impact of robots on European labour markets in the last couple of decades has been ambiguous and is not robust. The strength and even the sign of this effect are sensitive to the specifications, as well as to the countries and periods analysed." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    New Frontiers: The Origins and Content of New Work, 1940–2018 (2022)

    Autor, David; Chin, Caroline; Seegmiller, Bryan; Salomons, Anna M.;

    Zitatform

    Autor, David, Caroline Chin, Anna M. Salomons & Bryan Seegmiller (2022): New Frontiers: The Origins and Content of New Work, 1940–2018. (NBER working paper 30389), Cambridge, Mass, 79 S. DOI:10.3386/w30389

    Abstract

    "We address three core questions about the hypothesized role of newly emerging job categories ('new work') in counterbalancing the erosive effect of task-displacing automation on labor demand: what is the substantive content of new work; where does it come from; and what effect does it have on labor demand? To address these questions, we construct a novel database spanning eight decades of new job titles linked both to US Census microdata and to patent-based measures of occupations' exposure to labor-augmenting and labor-automating innovations. We find, first, that the majority of current employment is in new job specialties introduced after 1940, but the locus of new work creation has shifted—from middle-paid production and clerical occupations over 1940–1980, to high-paid professional and, secondarily, low-paid services since 1980. Second, new work emerges in response to technological innovations that complement the outputs of occupations and demand shocks that raise occupational demand; conversely, innovations that automate tasks or reduce occupational demand slow new work emergence. Third, although flows of augmentation and automation innovations are positively correlated across occupations, the former boosts occupational labor demand while the latter depresses it. Harnessing shocks to the flow of augmentation and automation innovations spurred by breakthrough innovations two decades earlier, we establish that the effects of augmentation and automation innovations on new work emergence and occupational labor demand are causal. Finally, our results suggest that the demand-eroding effects of automation innovations have intensified in the last four decades while the demand-increasing effects of augmentation innovations have not." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    The impact of robots on labour market transitions in Europe (2022)

    Bachmann, Ronald ; Lewandowski, Piotr ; Gonschor, Myrielle; Madoń, Karol;

    Zitatform

    Bachmann, Ronald, Myrielle Gonschor, Piotr Lewandowski & Karol Madoń (2022): The impact of robots on labour market transitions in Europe. (Ruhr economic papers 933), Essen, 53 S.

    Abstract

    "Dieses Papier untersucht die Auswirkungen von Robotern auf Arbeitsmarkttransitionen in 16 europäischen Ländern. Generell reduzieren Roboter Übergänge von der Beschäftigung in die Arbeitslosigkeit und erhöhen die Wahrscheinlichkeit, einen neuen Job zu finden. Arbeitskosten sind eine wichtige Erklärung für die beobachteten Unterschiede zwischen Ländern: In Ländern mit niedrigeren Arbeitskosten zeigt sich ein stärkerer Effekt auf Einstellungen und Trennungen. Diese Auswirkungen sind bei Arbeitskräften in Berufen mit manuellen oder kognitiven Routineaufgaben besonders ausgeprägt, bei Berufen mit nicht-routine kognitiven Aufgaben hingegen vernachlässigbar. Für junge und ältere Arbeitskräfte in Ländern mit niedrigeren Arbeitskosten wirken sich Roboter positiv auf Übergänge aus. Unsere Ergebnisse deuten darauf hin, dass die Einführung von Robotern in den meisten europäischen Ländern zu einem Anstieg der Beschäftigung und einem Rückgang der Arbeitslosigkeit geführt hat, vor allem durch einen Rückgang der Übergänge in die Arbeitslosigkeit." (Autorenreferat, IAB-Doku)

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  • Literaturhinweis

    The dynamics of ICT skills in EU Member States (2022)

    Barslund, Mikkel ;

    Zitatform

    Barslund, Mikkel (2022): The dynamics of ICT skills in EU Member States. (Social situation monitor), Luxembourg, 38 S. DOI:10.2767/866469

    Abstract

    "This study proposes a digital skills intensity index to measure the average number of digital skills used by a worker, based on their International Standard Classification of Occupations (ISCO) occupational classification." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Risks to job quality from digital Technologies: are industrial relations in Europe ready for the challenge? (2022)

    Berg, Janine; Green, Francis ; Nurski, Laura; Spencer, David;

    Zitatform

    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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  • Literaturhinweis

    Industrial automation and intergenerational income mobility in the United States (2022)

    Berger, Thor ; Engzell, Per ;

    Zitatform

    Berger, Thor & Per Engzell (2022): Industrial automation and intergenerational income mobility in the United States. In: Social science research, Jg. 104. DOI:10.1016/j.ssresearch.2021.102686

    Abstract

    "This article examines how the automation of jobs has shaped spatial patterns of intergenerational income mobility in the United States over the past three decades. Using data on the spread of industrial robots across 722 local labor markets, we find significantly lower rates of upward mobility in areas more exposed to automation. The erosion of mobility chances is rooted in childhood environments and is particularly evident among males growing up in low-income households. These findings reveal how recent technological advances have contributed to the unequal patterns of economic opportunity in the United States today." (Author's abstract, IAB-Doku, © 2022 Elsevier) ((en))

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  • Literaturhinweis

    Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health (2022)

    Blasco, Sylvie ; Rouland, Bénédicte; Rochut, Julie;

    Zitatform

    Blasco, Sylvie, Julie Rochut & Bénédicte Rouland (2022): Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health. (IZA discussion paper 15434), Bonn, 29 S.

    Abstract

    "Automation may destroy jobs and change the labour demand structure, thereby potentially impacting workers' health and well-being. Using French individual survey data, we estimate the effects of working in automatable jobs on mental health. Implementing propensity score matching to solve the issue of endogenous exposure to automation risk, we find that workers whose job is at risk of automation in the future are about 4 pp more likely to suffer at present from severe mental disorders. Fear of job loss within the year and fear of qualification or occupational changes seem relevant channels to explain our findings." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Heterogeneous Adjustments of Employment to Automation Technologies: Evidence from Manufacturing Industries in European Regions (2022)

    Ciarli, Tommaso; Jaccoud, Florencia; Petit, Fabien ;

    Zitatform

    Ciarli, Tommaso, Florencia Jaccoud & Fabien Petit (2022): Heterogeneous Adjustments of Employment to Automation Technologies: Evidence from Manufacturing Industries in European Regions. In: EconPol Forum, Jg. 23, H. 5, S. 24-28.

    Abstract

    "Employment adjustments to automation vary across industries, regions, technologies, and time. Technological penetration of robots is related to higher employment within the industry in low-tech regions in the short run. Robots are negatively correlated to employment in knowledge-intensive regions. Regional heterogeneity in employment adjustment to robots is not driven by industry composition. High-tech industries adjust employment to ICT penetration faster than low-tech industries" (Text excerpt, IAB-Doku) ((en))

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  • Literaturhinweis

    Agency, sentiment, and risk and uncertainty: fears of job loss in 8 European countries (2022)

    Clark, Gordon L. ;

    Zitatform

    Clark, Gordon L. (2022): Agency, sentiment, and risk and uncertainty: fears of job loss in 8 European countries. In: ZFW - Advances in Economic Geography, Jg. 66, H. 1, S. 3-17. DOI:10.1515/zfw-2021-0037

    Abstract

    "How people assess their prospects and act accordingly is anchored in time and space. But context is only half the story. Human beings share predispositions in favour of the here and now, discounting the future, and risk aversion. This paper provides a framework for integrating cognition with context in economic geography focusing upon agency, resources, and risk and uncertainty in European labour markets. In doing so, it seeks to avoid essentialising the individual while ensuring that the resulting framework does not leave individuals as cyphers of time and place. The framework is illustrated by reference to individual’s assessments of the consequences of technological change for their employment prospects in a multicountry European setting. Implications are drawn for a behavioural economic geography that is policy relevant." (Author's abstract, IAB-Doku, © Zeitschrift für Wirtschaftsgeographie) ((en))

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  • Literaturhinweis

    Technological unemployment revisited: automation in a search and matching framework (2022)

    Cords, Dario; Prettner, Klaus ;

    Zitatform

    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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  • Literaturhinweis

    Technological interdependencies and employment changes in European industries (2022)

    Cresti, Lorenzo; Dosi, Giovanni; Fagiolo, Giorgio ;

    Zitatform

    Cresti, Lorenzo, Giovanni Dosi & Giorgio Fagiolo (2022): Technological interdependencies and employment changes in European industries. (LEM working paper series / Laboratory of Economics and Management 2022,5), Pisa, 36 S.

    Abstract

    "This work addresses the role of inter-sectoral innovation flows, which we frame as technological interdependencies, in determining sectoral employment dynamics. This purpose is achieved through the construction of an indicator capturing the amount of R&D expenditures embodied in the backward linkages of industries. We aim to find out whether having a more integrated production in terms of requiring more technological inputs is related to a lower demand for workers within the sector. We refer to the literature on innovation-employment nexus, inter-sectoral knowledge spillovers and Global Value Chains, building upon structuralist and evolutionary theoretical considerations. We track the flows of embodied technological change between industries taking advantage of the notion of vertically integrated sectors. The relevance of this vertical technological dimension for determining employment dynamics is then tested on a panel data of European industries over the 2008-2014 period. Results show a statistically significant and negative employment impact of the degree of vertical integration in terms of acquisitions of R&D embodied inputs. Combining the role of demand, the double nature of innovation - as product and as process -, together with intersectoral linkages, this work shows that the dependence of a sector from innovation performed by other ones - a proxy for input embodied process innovations - exert a negative effect upon employment." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Humanoid robot adoption and labour productivity: a perspective on ambidextrous product innovation routines (2022)

    Del Giudice, Manlio; Scuotto, Veronica; Pironti, Marco; Ballestra, Luca Vincenzo;

    Zitatform

    Del Giudice, Manlio, Veronica Scuotto, Luca Vincenzo Ballestra & Marco Pironti (2022): Humanoid robot adoption and labour productivity: a perspective on ambidextrous product innovation routines. In: The International Journal of Human Resource Management, Jg. 33, H. 6, S. 1098-1124. DOI:10.1080/09585192.2021.1897643

    Abstract

    "The increasing presence of humanoid robot adoption has generated a change in explorative and exploitative routines. If the explorative routines provoke creativity and critical thinking which are delivered by humans, exploitative routines induce repetitive actions and mimic activities which are executed by humanoids. This has raised the need for a better balance between both routines involving an ambidextrous dynamic process. Here, product innovations play a relevant role in enhancing such balance and labour productivity. If, from the conceptual standpoint, this phenomenon has already been explored, there is still the need to empirically analyse it. We thus offer a meso-analysis of twenty-four countries located in Europe through the lens of the Service Robot Deployment (SRD) Model and the conceptual lens of organizational ambidexterity. By a regression methodology, the results show that humanoid robot adoption is still not affecting labour productivity which, by contrast, is positively and significantly connected with both radically new and marginally modified/unchanged production of innovative routines. Our original contribution, which falls in the field of Human Resources Management and Artificial Intelligence, is that humanoids are not directly impacting labour productivity but indirectly through the generation of both new and marginally modified (or unchanged) routines. This situation persuades senior leaders to achieve a balance between exploitative and explorative product innovation routines." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Organisation, technological change and skills use over time: A longitudinal study on linked employee surveys (2022)

    Dhondt, Steven ; Kraan, Karolus O.; Bal, Michiel ;

    Zitatform

    Dhondt, Steven, Karolus O. Kraan & Michiel Bal (2022): Organisation, technological change and skills use over time: A longitudinal study on linked employee surveys. In: New Technology, Work and Employment, Jg. 37, H. 3, S. 343-362. DOI:10.1111/ntwe.12227

    Abstract

    "The impact of technological change on the content of jobs and accompanying skills is a central topic across disciplines. To date, ample research has directly linked the technological change to shifts in skills use; however, organisational change is rarely considered as an influencing factor. Based on a panel survey, this paper uses a Luhmannian approach to understand the relationship between technological change and organisational context. This theory is tested quantitatively and shows the importance of considering the working environment's nature when studying skills changes. The results show small effects by the technological change on changing skills use but larger effects by changes in the working environment. Recommendations for future research and practical implications are discussed." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Zero-hours Contracts in a Frictional Labour Market (2022)

    Dolado, Juan J.; Lalé, Etienne ; Turone, Helene;

    Zitatform

    Dolado, Juan J., Etienne Lalé & Helene Turone (2022): Zero-hours Contracts in a Frictional Labour Market. (Discussion Paper / University of Bristol, Department of Economics 22/763), Bristol, 50 S.

    Abstract

    "We propose a model to evaluate the U.K.'s zero-hours contract (ZHC)- a contract that exempts employers from the requirement to provide any minimum working hours, and allows workers to decline any workload. We find quantitatively mixed welfare effects of ZHCs. On one hand they unlock job creation among firms that face highly volatile business conditions and increase labor force participation of individuals who prefer flexible work schedules. On the other hand, the use of ZHCs by less volatile firms, where jobs are otherwise viable under regular contracts, reduces welfare and likely explains negative employee reactions to this contract." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Market Power and Artificial Intelligence Work on Online Labour Markets (2022)

    Duch Brown, Nestor; Gomez-Herrera, Estrella; Müller-Langer, Frank; Tolan, Songul;

    Zitatform

    Duch Brown, Nestor, Estrella Gomez-Herrera, Frank Müller-Langer & Songul Tolan (2022): Market Power and Artificial Intelligence Work on Online Labour Markets. (JRC digital economy working paper 2021-10), Seville, 40 S.

    Abstract

    "We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market shares. We explore how these indicators relate to an exogenous change in platform policy. In the middle of the observation period, the platform made it mandatory for employers to signal the rates they were willing to pay as given by the level of experience required to perform a project, i.e., entry, intermediate or expert level. We find a positive labour supply elasticity ranging between 0.06 and 0.15, which is higher for expert-level projects. We also find that the labour demand elasticity increased while the labour supply elasticity decreased after the policy change. Based on this, we argue that market-designing platform providers can influence the labour demand and supply elasticities on OLMs with the terms and conditions they set for the platform. We also explore the demand for and supply of AI-related labour on the OLM under study. We provide evidence for a significantly higher demand for AI-related labour (ranging from +1.4% to +4.1%) and a significantly lower supply of AI-related labour (ranging from -6.8% to -1.6%) than for other types of labour. We also find that workers on AI projects receive 3.0%-3.2% higher wages than workers on non-AI projects." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    A Comprehensive Taxonomy of Tasks for Assessing the Impact of New Technologies on Work (2022)

    Fernández-Macías, Enrique ; Bisello, Martina ;

    Zitatform

    Fernández-Macías, Enrique & Martina Bisello (2022): A Comprehensive Taxonomy of Tasks for Assessing the Impact of New Technologies on Work. In: Social indicators research, Jg. 159, H. 2, S. 821-841. DOI:10.1007/s11205-021-02768-7

    Abstract

    "In recent years, the increasing concern about the labour market implications of technological change has led economists to look in more detail at the structure of work content and job tasks. Incorporating insights from other traditions of task analysis, in particular from the labour process approach, as well as from recent research on skills, work organisation and occupational change, in this paper we propose a comprehensive and detailed taxonomy of tasks. Going beyond existing broad classifications, our taxonomy aims at connecting the substantive content of work with its organisational context by answering two key questions: what do people do at work and how do they do their work? For illustrative purposes, we show how our approach allows a better understanding of the impact of new technologies on work, by accounting for relevant ongoing transformations such as the diffusion of artificial intelligence and the unfolding of digital labour platforms." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

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  • Literaturhinweis

    Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment (2022)

    Haapanala, Henri ; Parolin, Zachary ; Marx, Ive ;

    Zitatform

    Haapanala, Henri, Ive Marx & Zachary Parolin (2022): Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment. (IZA discussion paper 15080), Bonn, 31 S.

    Abstract

    "We analyse the moderating effect of trade unions on industrial employment and unemployment in countries facing exposure to industrial robots. Applying random effects within-between regression to a pseudo-panel of observations from 28 advanced democracies over 1998-2019, we find that stronger trade unions in a country are associated with a greater decline in the industry sector employment of young and low-educated workers. We also show that the unemployment rates for low-educated workers remain constant in strongly unionised countries with increasing exposure to robots, whereas in weakly unionised countries, low-educated unemployment declines with robot exposure but from a higher starting point. Our results point to unions exacerbating the insider-outsider effects of technological change within the industrial sector, which however is not fully passed on to unemployment." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Growth trends for selected occupations considered at risk from automation (2022)

    Handel, Michael J.;

    Zitatform

    Handel, Michael J. (2022): Growth trends for selected occupations considered at risk from automation. In: Monthly labor review H. July. DOI:10.21916/mlr.2022.21

    Abstract

    "Breakthroughs in artificial intelligence (AI) and robotics have led to substantial concern that large-scale job losses are imminent. Selected occupations are often cited as illustrations of technological displacement that is or will become a more general problem, but these discussions are often impressionistic. This article compiles a list of specific occupations cited in the automation literature and examines the occupations’ employment trends since 1999 and projected employment to 2029. There is little support in U.S. Bureau of Labor Statistics data or projections for the idea of a general acceleration of job loss or a structural break with trends pre-dating the AI revolution with respect to the occupations cited as examples. Offsetting factors and other limitations of the automation thesis are discussed." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    New Evidence on the Effect of Technology on Employment and Skill Demand (2022)

    Hirvonen, Johannes; Stenhammar, Aapo; Tuhkuri, Joonas;

    Zitatform

    Hirvonen, Johannes, Aapo Stenhammar & Joonas Tuhkuri (2022): New Evidence on the Effect of Technology on Employment and Skill Demand. (ETLA working papers 93), Helsinki, 133 S.

    Abstract

    "We present novel evidence on the effects of advanced technologies on employment, skill demand, and firm performance. The main finding is that advanced technologies led to increases in employment and no change in skill composition. Our main research design focuses on a technology subsidy program in Finland that induced sharp increases in technology investment in manufacturing firms. Our data directly measure multiple technologies and skills and track firms and workers over time. We demonstrate novel text analysis and machine learning methods to perform matching and to measure specific technological changes. To explain our findings, we outline a theoretical framework that contrasts two types of technological change: process versus product. We document that firms used new technologies to produce new types of output rather than replace workers with technologies within the same type of production. The results contrast with the ideas that technologies necessarily replace workers or are skill biased." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Hourly Wages in Crowdworking: A Meta-Analysis (2022)

    Hornuf, Lars ; Vrankar, Daniel;

    Zitatform

    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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