Technologies and “Routinization”

  1. Biagi, Federico 1
  2. Sebastian, Raquel 2
  1. 1 University of Padova
  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Libro:
Handbook of Labor, Human Resources and Population Economics

ISBN: 9783319573656,  9783319573656

Año de publicación: 2020

Páginas: 1-17

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-319-57365-6_8-2 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

This chapter presents and compares different approaches to the measurement oftasks, discussing their pros and cons and the problems that researchers encounterwhen testing theoretical constructs with available data. As an empirical application, the most representative framework is adopted and items across multiple datasources (EWCS, PIAAC, PDII, and ONET) are used to generate different andcomparable measures of an index of relative routine intensity (RTI) across theEU. The chapter also assesses the extent to which these data sources providecoherent pictures of the degree of routinization in 26 EU countries. Resultsconsistently indicate that northern countries (plus Luxembourg, and the Netherlands) show the lowest values of the routinization (RTI) index, whileeastern (Bulgaria, Hungary, and Slovakia, in particular) and some Mediterraneancountries (Greece, Cyprus, Spain, Portugal) show the highest RTI values. Oneimportant and controversial result emerges: while PIAAC, PDII, and ONETprovide overall similar pictures (especially for abstract and manual tasks), EWCSresults differ substantially from those of the other databases, especially for routineand manual tasks. Future research could explore in depth the reasons for thesedifferent patterns of consistency.

Referencias bibliográficas

  • Acemoglu D, Autor DH (2011) Skills, tasks and technologies: implications for employment and earnings. In: Ashenfelter O, Card DE (eds) Handbook of labor economics, vol 4B. Elsevier, Amsterdam, pp 1043–1171
  • Adermon A, Gustavson M (2015) Job polarisation and task-biased technological change: evidence from Sweden, 1975–20. Scand J Econ 117(3):878–917
  • Akcomak S, Kok S, Rojas-Romagosa H (2013) The effects of technology and offshoring on changes in employment and task-content of occupations. CPB discussion paper 233, CPB Netherlands. Bureau for Economic Policy Analysis
  • Autor DH, Dorn D (2013) The growth of low-skill service jobs and the polarization of the US labor market. Am Econ Rev 103(5):1553–1597
  • Autor D, Handel M (2013) Putting tasks to the test: human capital, job tasks, and wages. J Labor Econ 31(2):59–96
  • Autor DH, Levy F, Murnane RJ (2003) The skill content of recent technological change: an empirical exploration. Q J Econ 118(4):1279–1334
  • Autor DH, Katz LF, Kearney MS (2006) The polarization of the U.S. labor market. Am Econ Rev Pap Proc 96(2):189–194
  • Bekman E, Bound J, Machin S (1998) Implications of skill-biased technological change: international evidence. Q J Econ 113(4):1245–1279
  • Bound J, Johnson G (1992) Changes in the structure of wages in the 1980s: an evaluation of alternative explanations. Am Econ Rev 82(3):371–392
  • Eurofound (2016) What do Europeans do at work? A task-based analysis: European jobs monitor 2016. Publications Office of the European Union, Luxembourg
  • Goos M, Manning A (2007) Lousy and lovely jobs: the rising polarization of work in Britain. Rev Econ Stat 89(1):118–133
  • Goos M, Manning A, Salomons A (2014) Explaining job polarisation in Europe: routine-biased technological change and offshoring. Am Econ Rev 104(8):2509–2526
  • Green F (2012) Employee involvement, technology and evolution in job skills: a task- based analysis. Ind Labor Relat Rev 65(1):35–66
  • Katz LF, Murphy KM (1992) Changes in relative wages, 1963–1987: supply and demand factors. Q J Econ 107(1):35–78
  • Machin S, Van Reenen J (1998) Technology and changes in skill structure: evidence from seven OECD countries. Q J Econ 113(4):1215–1244
  • Marcolin L, Miroudot S, Squicciarini M (2016) The routine content of occupations: new cross-country measures based on PIAAC. OECD science, technology and industry working papers. OECD
  • Matthes B, Christoph B, Janik F, Ruland M (2014) Collecting information on job tasks – an instrument to measure tasks required at the workplace in a multi-topic survey. J Labor Market Res 47(4):273–297
  • Sebastian R (2018) Explaining job polarisation in Spain from a task perspective. Series 9(2):215–248
  • Spitz-Oener A (2006) Technical change, job tasks, and rising educational demands: looking outside the wage structure. J Labor Econ 24(2):235–270