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 und die Nutzung Künstlicher Intelligenz auf Beschäftigung und Arbeitsmarkt? Welche Qualifikationen werden künftig benötigt? Wie verändern sich Tätigkeiten und Berufe? Welche arbeits- und sozialrechtlichen Konsequenzen ergeben sich daraus?
Dieses Themendossier dokumentiert Forschungsergebnisse zum Thema in den verschiedenen Wirtschaftsbereichen und Regionen.
Im Filter „Autorenschaft“ können Sie auf IAB-(Mit-)Autorenschaft eingrenzen.
- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen
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Literaturhinweis
Digital technologies, labor market flows and training: Evidence from Italian employer-employee data (2024)
Zitatform
Cirillo, Valeria, Andrea Mina & Andrea Ricci (2024): Digital technologies, labor market flows and training: Evidence from Italian employer-employee data. In: Technological forecasting & social change, Jg. 209. DOI:10.1016/j.techfore.2024.123735
Abstract
"New technologies can shape the production process by affecting the way in which inputs are embedded in the organization, their quality, and their use. Using an original employer-employee dataset that merges firm-level data on digital technology adoption and other characteristics of production with employee-level data on worker entry and exit rates from the administrative archive of the Italian Ministry of Labor, this paper explores the effects of new digital technologies on labor flows in the Italian economy. Using a Difference-in-Difference approach, we show that digital technologies lead to an increase in the firm-level hiring rate – particularly for young workers - and reduce the firm-level separation rate. We also find that digital technologies are positively associated with workplace training, proxied by the share of trained employees and the amount of training costs per employee. Furthermore, we explore the heterogeneity of effects related to different technologies (robots, cybersecurity and IoT). Our results are confirmed through several robustness checks." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))
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Literaturhinweis
Wishing for More: Technological Change, the Rise of Involuntary Part-Time Employment and the Role of Active Labour Market Policies (2024)
Zitatform
Doorn, Lars Van & Olaf van Vliet (2024): Wishing for More: Technological Change, the Rise of Involuntary Part-Time Employment and the Role of Active Labour Market Policies. In: Journal of Social Policy, Jg. 53, H. 3, S. 751-771. DOI:10.1017/S0047279422000629
Abstract
"Technological change has squeezed the demand for middle-skill jobs, which typically involve routine-intense tasks. This squeeze has coincided with an increase in the number of part-time working individuals who wish to work more hours. We argue that these two trends are linked. Due to the decline of middle-skill employment, medium-educated workers shift into low-skill employment, increasing the supply of labor for jobs in this segment of the labor market. This pushes those dependent on these jobs to accept part-time jobs, even if these involve fewer hours than they prefer. To empirically assess this claim, we analyze involuntary part-time employment across 16 European countries between 1999 and 2010. Our analysis confirms that a decline in middle-skill employment is associated with an increase in involuntary part-time employment at the bottom end of the labor market. This finding implies that the automation of routine-intense labour worsens employment possibilities in this segment of the labor market. However, we show that training and job creation schemes mitigate this effect. These programs cushion competition either by providing medium-educated workers with the necessary skills to shift into high-skill jobs or by increasing employment possibilities. Thus, governments have the tools to support workers facing challenges in the knowledge economy." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Migrant Women in the UK’s Digital Economy: The Elimination of Labour Market Barriers in the Digital Labour Market (2024)
Erinc Oztas, Miray;Zitatform
Erinc Oztas, Miray (2024): Migrant Women in the UK’s Digital Economy: The Elimination of Labour Market Barriers in the Digital Labour Market. In: Social Sciences, Jg. 13, H. 9. DOI:10.3390/socsci13090494
Abstract
"This research paper delves into the complexities migrant women face within the UK labor market, with a specific focus on the digital economy’s role as both a barrier and a conduit for employment opportunities. Migrant women in the UK encounter dual barriers to labour market entry: systemic challenges rooted in migration and gender biases, and the digital divide that exacerbates access and inclusion issues within the burgeoning digital economy. Through an exploratory descriptive analysis, this study explores how digitalism—defined as the integration of digital technologies into economic and societal practices—circumvents traditional labor market entry barriers such as languages barriers. By setting out the grounds for a potential hypothesis and further research in the era of AI, this paper underlines how through the implementation of AI tools, traditional barriers such as language barriers are eliminated in the digital labour market." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The effects of automation in the apparel and automotive sectors and their gender dimensions (2024)
Fana, Marta ; Tejani, Sheeba; Kucera, David; Esquivel, Valeria ; Bárcia De Mattos, Fernanda; Anzolin, Guendalina;Zitatform
Fana, Marta, Fernanda Bárcia De Mattos, Valeria Esquivel, Guendalina Anzolin, David Kucera & Sheeba Tejani (2024): The effects of automation in the apparel and automotive sectors and their gender dimensions. (JRC science for policy report 136639), Brüssel, 66 S.
Abstract
"This report is the final output of a research project investigating the effects of automation on employment in the automotive, apparel and footwear industries in five countries, namely Germany, Indonesia, Mexico, Romania, and Spain. The main objective of this project has been to improve our understanding of how ongoing processes of technological upgrading, particularly automation, impact women's and men's employment and work in these industries. Our findings suggest that, in the short term, close to the introduction of new automation technology, the impact on employment takes the form of reassignment of workers directly involved in automated processes to other positions, tasks, and occupations. This study also explored the impact of automation in terms of work organization and working conditions. Across the case studies, it emerged that the adoption of automation technologies has reduced heavy and repetitive tasks and improved health and safety for workers directly concerned by automation. Another interesting and related common finding is the reduction of workers' autonomy who are now subject to more standardization of tasks together with an ongoing process of deskilling of operators. Finally, in the apparel and footwear sector, we did not find evidence of defeminisation at the establishment level as well as the automotive factories remains highly male-dominated. Cultural norms and stereotypes which influence not only the jobs women and men apply to and get hired for, but also which training and education they engage in, contribute to this gender segregation in both sectors." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Job Satisfaction and the Digital Transformation of the Public Sector: The Mediating Role of Job Autonomy (2024)
Zitatform
Fleischer, Julia & Camilla Wanckel (2024): Job Satisfaction and the Digital Transformation of the Public Sector: The Mediating Role of Job Autonomy. In: Review of Public Personnel Administration, Jg. 44, H. 3, S. 431-452. DOI:10.1177/0734371X221148403
Abstract
"Worldwide, governments have introduced novel information and communication technologies (ICTs) for policy formulation and service delivery, radically changing the working environment of government employees. Following the debate on work stress and particularly on technostress, we argue that the use of ICTs triggers “digital overload” that decreases government employees’ job satisfaction via inhibiting their job autonomy. Contrary to prior research, we consider job autonomy as a consequence rather than a determinant of digital overload, because ICT-use accelerates work routines and interruptions and eventually diminishes employees’ freedom to decide how to work. Based on novel survey data from government employees in Germany, Italy, and Norway, our structural equation modeling (SEM) confirms a significant negative effect of digital overload on job autonomy. More importantly, job autonomy partially mediates the negative relationship between digital overload and job satisfaction, pointing to the importance of studying the micro-foundations of ICT-use in the public sector." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Assessing the impact of new technologies on wages and labour income shares (2024)
Zitatform
Ghodsi, Mahdi, Robert Stehrer & Antea Barišić (2024): Assessing the impact of new technologies on wages and labour income shares. In: Technological forecasting & social change, Jg. 209. DOI:10.1016/j.techfore.2024.123782
Abstract
"This paper advances the literature on the impacts of new technologies on labor markets, focusing on wage and labor income shares. Using a dataset from 32 countries and 38 industries, we analyze the effects of new technologies – proxied by patents, information and communication technology (ICT) capital usage, and robot intensity – on average wages and labour income shares over time. Our results indicate a positive correlation between patents and wage levels along with a minor negative impact on labor income shares, suggesting that technology rents are not fully passed on to labor. Robot intensity is positively associated with labor income shares, while ICT capital has an insignificant effect. These effects persist over time and are reinforced by global value chain (GVC) linkages. Our conclusions align with recent research indicating that new technologies have a generally limited impact on wages and labour income shares." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))
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Literaturhinweis
Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis (2024)
Zitatform
Guarascio, Dario, Alessandro Piccirillo & Jelena Reljic (2024): Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis. (LEM working paper series / Laboratory of Economics and Management 2024,03), Pisa, 31 S.
Abstract
"This study conducts a meta-analysis to assess the effects of robotization on employment and wages, compiling data from 33 studies with 644 estimates on employment and a subset of 19 studies with 195 estimates on wages. We identify a publication bias towards negative outcomes, especially concerning wages. After correcting for this bias, the actual impact appears minimal. Thus, concerns about the disruptive effects of robots on employment and the risk of widespread technological unemployment may be exaggerated or not yet empirically supported. While this does not preclude that robots will be capable of gaining greater disruptive potential in the future or that they are not already disruptive in specific contexts, the evidence to date suggests their aggregate effect is negligible." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis (2024)
Zitatform
Guarascio, Dario, Alessandro Piccirillo & Jelena Reljic (2024): Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis. (GLO discussion paper / Global Labor Organization 1395), Essen, 31 S.
Abstract
"This study conducts a meta-analysis to assess the effects of robotization on employment and wages, compiling data from 33 studies with 644 estimates on employment and a subset of 19 studies with 195 estimates on wages. We identify a publication bias towards negative outcomes, especially concerning wages. After correcting for this bias, the actual impact appears minimal. Thus, concerns about the disruptive effects of robots on employment and the risk of widespread technological unemployment may be exaggerated or not yet empirically supported. While this does not preclude that robots will be capable of gaining greater disruptive potential in the future or that they are not already disruptive in specific contexts, the evidence to date suggests their aggregate effect is negligible." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan (2024)
Zitatform
Heluo, Yuxi & Oliver Fabel (2024): Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan. In: Technological forecasting & social change, Jg. 209. DOI:10.1016/j.techfore.2024.123772
Abstract
"This study adds to the growing literature on wage and employment responses to the risk of job computerization. Specifically, it revisits the original occupational perspective and inquires into the nature of the adjustments of occupational wages and employment, i.e., the potential benefits and costs associated with professional careers in such occupations. The investigation further aims at identifying whether these adjustment processes are universal - as suggested by the global availability of the respective technology - or reflect country-specific peculiarities. To this end, it conducts a comparative analysis with data from the United States, Germany, and Japan, three G7 lead countries which share the commitment to fostering technological progress, but which are also characterized by distinctly different labor market institutions and approaches to industrial policies. Generally consistent with the country-specific employment institutions and common corporate strategies, transmission channels - as reflected by the relationship between adjustments of occupational employment and wages - differ between countries. In all three countries, though, higher risks of computerization are associated with relative wage losses in occupations which require low levels of formal education or training." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))
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Literaturhinweis
Does robotization improve the skill structure? The role of job displacement and structural transformation (2024)
Zitatform
Hu, Shengming, Kai Lin, Bei Liu & Hui Wang (2024): Does robotization improve the skill structure? The role of job displacement and structural transformation. In: Applied Economics, Jg. 56, H. 28, S. 3415-3430. DOI:10.1080/00036846.2023.2206623
Abstract
"The literature generally focuses on the impact of robots or artificial intelligence on the employment and wages, but ignores the effect of robotization on the skill structure and its underlying mechanisms and lacks empirical evidence from developing countries. We theoretically develop a task model by introducing the skill structure and empirically investigate the effect of robotization on the skill structure based on Chinese provincial panel data from 2006 to 2018. Results show that: (1) the development of robotization in China is conducive to improving the skill structure, and the baseline conclusion still holds even though adopting multiple indexes of skill structure and controlling the endogeneity bias. (2) Robotization generates not only job displacement effect by displacing unskilled workers with robots but also structural transformation effect by increasing the proportion of technology-intensive industries, which can improve the skill structure. (3) In coastal provinces with strong Internet foundation, information transmission capacity and labour protection intensity, high labour cost and ageing rate, robotization plays a stronger role in improving the skill structure. Moreover, robotization can induce the employment polarization. These conclusions can help avoid technical unemployment and promote the upgrading of the skill structure in China." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Demographic change, secular stagnation, and inequality: automation as a blessing? (2024)
Zitatform
Jacobs, Arthur & Freddy Heylen (2024): Demographic change, secular stagnation, and inequality: automation as a blessing? In: Journal of demographic economics, S. 1-41. DOI:10.1017/dem.2024.10
Abstract
"We study whether the increased adoption of available automation technologies allows economies to avoid the negative effect of aging on per capita output. We develop a quantitative theory in which firms choose to which extent they automate in response to a declining workforce and rising old-age dependency. An important element in our model is the integration of two capital types: automation capital that acts as a substitute to human labor, and traditional capital that is a complement to labor. Empirically, our model's predictions largely match data regarding automation (robotization) density across OECD countries. Simulating the model, we find that aging-induced automation only partially compensates the negative growth effect of aging in the absence of technical progress in automation technology. One reason is that automated tasks are no perfect substitutes for non-automated tasks. A second reason is that automation raises the interest rate and thus inhibits positive behavioral reactions to aging (later retirement and investment in human capital). Moreover, increased automation generates a falling net labor share of income and rising welfare inequality. We evaluate alternative policy responses to cope with this inequality." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation and Offshoring on Wage Inequality in Japan (2024)
Kikuchi, Shinnosuke; Kikuchi, Shinnosuke;Zitatform
Kikuchi, Shinnosuke (2024): Automation and Offshoring on Wage Inequality in Japan. (RIETI discussion paper 24046), Tokyo, 24 S.
Abstract
"I examine the effect of task displacement from automation technology and offshoring on wage inequality using data for Japan since 1980. First, I do not find evidence that task displacement from automation increases wage inequality, which contrasts with the finding for the US. Second, I find that the rise in offshoring has distributional consequences and is progressive after the mid-1990s. The surge in offshoring is concentrated in industries where ex-ante low-wage workers work and disproportionally increases their wages. This increase in wages is due to the increases in monthly payroll, decreases in hours worked, decreases in employment rate, and decreases in the share of offshorable occupations." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Is the wage premium on using computers at work gender-specific? (2024)
Zitatform
Kristal, Tali, Efrat Herzberg-Druker & Adena White (2024): Is the wage premium on using computers at work gender-specific? In: Research in Social Stratification and Mobility, Jg. 89. DOI:10.1016/j.rssm.2024.100890
Abstract
"Past research on the relationship between computers and wages has revealed two stylized facts. First, workers who use a computer at work earn higher wages than similar workers who do not (termed as ‘the computer wage premium’). Second, women are more likely to use a computer at work than are men. Given the recognized computer wage premium and women’s advantage in computer use at work, we ask: Is the wage premium on using computers at work gender- or non-gender-specific? Given gendered processes operating at both the occupational and within-occupation levels, we expect that returns to computer usage are gender-bias. This contrasts the skill-biased technological change (SBTC) theory assumption that the theorized pathways through which computers boost earnings are non-gender-specific productivity-enhancing mechanisms. Analyzing occupational data on computer use at work from O*NET attached to the 1979–2016 Current Population Surveys (CPS) and individual-level data from the 2012 Survey of Adult Skills (PIAAC), we find that the computer wage premium is biased in favor of men at the occupation level. We conclude by suggesting that computer-based technologies relate to reproducing old forms of gender pay inequality due to gendered processes that operate mainly at the structural level (i.e., occupations) rather than at the individual level." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))
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Literaturhinweis
Reshoring, Automation, and Labor Markets Under Trade Uncertainty (2024)
Zitatform
Leduc, Sylvain & Zheng Liu (2024): Reshoring, Automation, and Labor Markets Under Trade Uncertainty. (Working papers series / Federal Reserve Bank of San Francisco 2024-16), San Francisco, Calif., 42 S. DOI:10.24148/wp2024-16
Abstract
"We study the implications of trade uncertainty for reshoring, automation, and U.S. labor markets. Rising trade uncertainty creates incentive for firms to reduce exposures to foreign suppliers by moving production and distribution processes to domestic producers. However, we argue that reshoring does not necessarily bring jobs back to the home country or boost domestic wages, especially when firms have access to labor-substituting technologies such as automation. Automation improves labor productivity and facilitates reshoring, but it can also displace jobs. Furthermore, automation poses a threat that weakens the bargaining power of low-skilled workers in wage negotiations, depressing their wages and raising the skill premium and wage inequality. The model predictions are in line with industry-level empirical evidence." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation, Bargaining Power, and Labor Market Fluctuations (2024)
Zitatform
Leduc, Sylvain & Zheng Liu (2024): Automation, Bargaining Power, and Labor Market Fluctuations. In: American Economic Journal. Macroeconomics, Jg. 16, H. 4, S. 311-349. DOI:10.1257/mac.20220181
Abstract
"We argue that the threat of automation weakens workers’ bargaining power in wage negotiations, dampening wage adjustments and amplifying unemployment fluctuations. We make this argument based on a business cycle model with labor market search frictions, generalized to incorporate automation decisions. In the model, procyclical automation threats create endogenous real wage rigidity that amplifies labor market fluctuations. The automation mechanism is consistent with empirical evidence. It is also quantitatively important for explaining the large volatilities of unemployment and vacancies relative to that of real wages, a puzzling observation through the lens of standard business cycle models." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Embracing artificial intelligence in the labour market: the case of statistics (2024)
Zitatform
Liu, Jin, Kaizhe Chen & Wenjing Lyu (2024): Embracing artificial intelligence in the labour market: the case of statistics. In: Humanities and Social Sciences Communications, Jg. 11. DOI:10.1057/s41599-024-03557-6
Abstract
"In an era marked by rapid advancements in artificial intelligence (AI), the dynamics of the labor market are undergoing significant transformation. A common concern amidst these changes is the potential obsolescence of traditional disciplines due to AI-driven productivity enhancements. This study delves into the evolving role and resilience of these disciplines within the AI-influenced labor market. Focusing on statistics as a representative field, we investigate its integration with AI and its interplay with other disciplines. Analyzing 279.87 million online job postings in the United States from 2010 to 2022, we observed a remarkable 31-fold increase in the demand for AI-specialized statistical talent, diversifying into 932 distinct AI-related job roles. Additionally, our research identified four major interdisciplinary clusters, encompassing 190 disciplines with a statistical focus. The findings also highlight a growing emphasis on specific hard skills within these AI roles and the differences in demand for AI talent in statistics across economic sectors and regions. Contrary to the pessimistic view of traditional disciplines’ survival in the AI age, our study suggests a more optimistic outlook. We recommend that professionals and organizations proactively adapt to AI advancements. Governments and academic institutions should collaborate to foster interdisciplinary skill development and evaluation for AI talents, thereby enhancing the employability of individuals from traditional disciplines and contributing to broader economic growth." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The effects of automation on workers’ wages (2024)
Zitatform
Madoń, Karol (2024): The effects of automation on workers’ wages. (IBS working paper / Instytut Badan Strukturalnych 2024,06), Warszawa, 35 S.
Abstract
"This study examines the impact of automation on workers’ wages across 20 European countries between 2010–2018. Overall, it identifies a net positive effect of robot adoption on average wages at the sectoral level, especially pronounced among routine manual and nonroutine manual occupations. Importantly, these effects differ between countries- workers in Eastern European countries benefit twice as much from automation as their Western European counterparts. In Western European countries, higher average wages are associated with a decreasing share of routine workers. Results are robust to the exclusion of different capital measures, a battery of fixed effects, a change of instrument and an alternative measure of wages." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Coverage for platform workers and the self-employed in case of unemployment in Switzerland: Access to protection and ways of improvement (2024)
Zitatform
Magoga-Sabatier, Sabrine (2024): Coverage for platform workers and the self-employed in case of unemployment in Switzerland: Access to protection and ways of improvement. In: European Journal of Social Security, Jg. 26, H. 2, S. 198-213. DOI:10.1177/13882627241256003
Abstract
"Whether they are self-employed, atypical employees, or self-employed using an umbrella company, there is still almost no social protection against unemployment or partial loss of activity in Switzerland for platform workers. The same can be said for the self-employed in general. This contribution shows that platform workers, irrespective of their exact legal status, and the self-employed in general, risk sanctions for taking on unsuitable work, for being insufficiently available for decent work or unable to prove a loss of income. However hard they try, they cannot even contribute to a voluntary unemployment insurance scheme. We show that the Swiss social protection scheme, a product of years of federal direct democracy, is hardly able to adapt to the fast-moving platform work environment, thus increasing the risks of precariousness and the burden on the cantons' social assistance for the next generation." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Robots, meaning, and self-determination (2024)
Zitatform
Nikolova, Milena, Femke Cnossen & Boris Nikolaev (2024): Robots, meaning, and self-determination. In: Research Policy, Jg. 53, H. 5. DOI:10.1016/j.respol.2024.104987
Abstract
"This paper is the first to examine the impact of robotization on work meaningfulness, autonomy, competence, and relatedness, which are essential to motivation and well-being at work. Using surveys of workers and robotization data for 14 industries in 20 European countries spanning 2005–2021, we find a consistent negative impact of robotization on perceived work meaningfulness and autonomy. Using instrumental variables, we find that doubling robotization leads to a 0.9 % decrease in work meaningfulness and a 1 % decline in autonomy. To put this in perspective, if the robotization levels of the top 5 industry were to match those of the leading industry in terms of robot adoption in 2020 (equivalent to a 7.5-fold increase), it would result in a decline of 6.8 % in work meaningfulness and 7.5 % in autonomy. The link between robotization, competence, and relatedness is also negative but less robust. We also examine how tasks, skills, and socio-demographic characteristics moderate the main relationships. We find that workers with routine tasks experience an even greater negative effect of robotization in terms of declines in their autonomy, competence, and relatedness. However, we also discover that utilizing computers as tools for independent work can help workers maintain a sense of autonomy, competence, and relatedness in industries and job roles that adopt robots. Our results highlight that by deteriorating work meaningfulness and self-determination, robotization can impact work life above and beyond its consequences for employment and wages." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))
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Literaturhinweis
Robotization and returns to tasks (2024)
Parmentier, Lucas;Zitatform
Parmentier, Lucas (2024): Robotization and returns to tasks. In: Economics Bulletin, Jg. 44, H. 4, S. 1545-1551.
Abstract
"I provide new evidence of the impacts of robotization on the returns to tasks in US labor markets between 1990 and 2007. I find that the adoption of one robot per thousand workers increases the changes in the returns to abstract and routine tasks by 0.049 and 0.066 percentage points, respectively, relative to manual tasks. These magnitudes imply that the adoption of one robot per thousand workers has substantial effects on wages since it increases wages by 1.70% due to the positive impact of robotization on the returns to abstract tasks, and by 3.76% due to the positive effects on the returns to routine tasks. The results are robust to various specifications." (Author's abstract, IAB-Doku) ((en))
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- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen