Job Tasks and Wages in Developed Countries: Evidence from PIAAC

Rica, Sara de la; Gortazar, Lúcas; Lewandowski, Piotr

doi:10.1016/j.labeco.2020.101845

Cited by 32 publications

(21 citation statements)

References 10 publications

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“…ICT capital stock per worker has been regarded a mechanism to take more advantage of technological change, which in turn is reflected in higher productivity [13]. ICT capital stock is highly correlated with abstract tasks, which tend to be associated with higher wages [64]. According to Bechichi et al [65], who conducted research considering the OECD countries, there are significant gaps between the needs of skills and training among countries (overall, less developed countries required higher levels of training).…”

Section: Discussionmentioning

confidence: 99%

ICT Use and Successful Learning: The Role of the Stock of Human Capital

Giménez

Vargas-Montoya

2021

Mathematics

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Previous empirical studies have found a weak nexus between the use of information and communication technologies (ICT) for learning and students’ outcomes. However, this literature has not considered the role that the countries’ stock of human capital can have in the successful use of ICT for learning. In this paper, we test empirically the existence of complementarities between human capital and technology adoption for learning. We carry out an empirical analysis with PISA data from a large-scale sample of 363,412 students enrolled in 13,215 schools in 48 countries. We estimate a hierarchical linear model (HLM) of three levels: students, schools, and countries. Our results strongly support the evidence of a positive externality of the stock of human capital on ICT use for learning. When we consider the moderator-effect of the stock of human capital, we find that the negative outcome of ICT use on students’ outcomes in mathematics, reading and science turns positive (greater and more positive the higher the stocks of human capital are). The greater the stock of human capital an economy has, the more benefits it can get from investments in ICT for learning.

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Section: Discussionmentioning

confidence: 99%

ICT Use and Successful Learning: The Role of the Stock of Human Capital

Giménez

Vargas-Montoya

2021

Mathematics

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“…The different methods aim to correct for the nonrandom assignment of workers into occupations and tasks, and the changing composition of workers within occupations over time. Second, the discussed studies can be roughly divided into works that estimate the level of returns to tasks (e.g., Stinebrickner, Stinebrickner and Sullivan, 2019;Autor and Handel, 2013;De La Rica, Gortazar, Lewandowski, 2020), and works that estimate the evolution of occupational wage premia over time (e.g., Cortes, 2016;Cavaglia and Etheridge, 2020;Gottschalk, Green and Sand, 2015;Böhm, Von Gaudecker and Schran, 2019) 11 . The present paper examines the level of returns to tasks and, therefore, fits within the first group of studies.…”

Section: Alternative Methods For Estimating the Impact Of Job Tasks On Wagesmentioning

confidence: 99%

Returns to Routine Job Tasks in the German Labour Market: An Instrumental Variables Approach

Mihaylov¹

2021

SSRN Journal

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This paper studies the impact of routine job tasks on workers wages in the German labour market. Using nationally representative data from the German Employment Survey, the paper finds that routine job tasks are negatively and significantly associated with workers hourly wages; the negative effect of routine tasks is most pronounced in high-skilled non-routine occupations where routine tasks are found to carry a substantial wage penalty. In order to account for the endogeneity of routine job tasks, the analysis employs an instrumental variable approach. The individual routine task-intensity of German workers in 2012 is instrumented with the routine task-intensity of the father's occupation in 1979 and the routine task-intensity of the workers' own occupation in 1979. The estimation procedure rests on the assumption that the two instruments are uncorrelated with the error term in the wage equation, conditional on a detailed set of individual, job, firm, industry and occupation-specific variables. Although the exogeneity of the instruments cannot be tested formally, the paper provides an extensive discussion of the instruments' validity and shows that the estimated negative effect is not sensitive to different model specifications, different definitions of the endogenous and instrumental variables, and different sample selection rules.

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“…Atalay et al (2021) show that this variation is correlated with city size such that larger cities have higher intensity of analytical and interactive tasks, more technological requirements, and increased task specialization. A number of papers also document that reported occupational task contents vary across countries (Dicarlo et al, 2016;Lewandowski et al, 2019;De La Rica et al, 2020;Caunedo et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Firm Size and the Task Content of Jobs: Evidence from 47 Countries

Vera

Garcia-Brazales

2021

SSRN Journal

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Using a mix of household-and employer-based survey data from 47 countries, we provide novel evidence that workers in larger firms perform more non-routine analytical and interpersonal tasks, even within narrowly defined occupations. Moreover, workers in larger firms rely more on the use of information and communications technologies (ICT) to perform these tasks. We also document a 17% wage premium that workers in larger firms enjoy relative to their counterparts in smaller firms. We find evidence that the firm size gradient in the task content of jobs accounts for around 10% of the large firm wage premium.

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Job Tasks and Wages in Developed Countries: Evidence from PIAAC

Cited by 32 publications

References 10 publications

ICT Use and Successful Learning: The Role of the Stock of Human Capital

ICT Use and Successful Learning: The Role of the Stock of Human Capital

Returns to Routine Job Tasks in the German Labour Market: An Instrumental Variables Approach

Firm Size and the Task Content of Jobs: Evidence from 47 Countries

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