[article]
| Titre : |
Job Polarization, Structural Transformation and Biased Technological Change |
| Type de document : |
document électronique |
| Auteurs : |
Zsófia L. Bárány ; Christian Siegel |
| Année de publication : |
2019 |
| Article en page(s) : |
pp. 25-44 |
| Langues : |
Anglais (eng) |
| Catégories : |
C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Gestion du personnel:Gestion du personnel:Salaire Payment made for work performed. ; F POPULATIONS - ETUDES DE CAS:Modelling
|
| Mots-clés : |
BESCHAFTIGUNGSSTRUKTUR JOB STRUCTURE ESTRUCTURA DEL EMPLEO STRUCTURE D'EMPLOI LOHN WAGE SALARIO TECHNOLOGISCHER WANDEL TECHNOLOGICAL CHANGE MUTACION TECNOLOGICA MUTATION TECHNOLOGIQUE NTI - NEUE INFORMATIONSTECHNOLOGIE NTI - NEW INFORMATION TECHNOLOGY NTI - NUEVA TECNOLOGIA DE LA INFORMACION NTI - NOUVELLE TECHNOLOGIE DE L'INFORMATION MODELLBILDUNG MODELIZACION MODELISATION VEREINIGTE STAATEN UNITED STATES ESTADOS UNIDOS ETATS UNIS |
| Résumé : |
By reviewing our work in Bárány, Siegel (2018a, 2018b), this article emphasizes the link between job polarization and structural change. We summarize evidence that job polarization in the United States has started as early as the 1950s: middle-wage workers have been losing both in terms of employment and average wage growth compared to low- and high-wage workers. Furthermore, at least since the 1960s the same patterns for both employment and wages have been discernible in terms of three broad sectors: low-skilled services, manufacturing and high-skilled services, and these two phenomena are closely linked. Finally, we propose a model where technology evolves at the sector-occupation cell level that can capture the employment reallocation across sectors, occupations, and within sectors. We show that this framework can be used to assess what type of biased technological change is the driver of the observed reallocations. The data suggests that technological change has been biased not only across occupations or sectors, but also across sector-occupation cells. |
| En ligne : |
https://www.cairn.info/revue-travail-et-emploi-2019-1-page-25.htm |
| Permalink : |
https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=235736 |
in Travail et emploi / Cairn et journals.openedition.org > n° 157 (janvier-mars 2019) . - pp. 25-44
[article] Job Polarization, Structural Transformation and Biased Technological Change [document électronique] / Zsófia L. Bárány ; Christian Siegel . - 2019 . - pp. 25-44. Langues : Anglais ( eng) in Travail et emploi / Cairn et journals.openedition.org > n° 157 (janvier-mars 2019) . - pp. 25-44
| Catégories : |
C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Gestion du personnel:Gestion du personnel:Salaire Payment made for work performed. ; F POPULATIONS - ETUDES DE CAS:Modelling
|
| Mots-clés : |
BESCHAFTIGUNGSSTRUKTUR JOB STRUCTURE ESTRUCTURA DEL EMPLEO STRUCTURE D'EMPLOI LOHN WAGE SALARIO TECHNOLOGISCHER WANDEL TECHNOLOGICAL CHANGE MUTACION TECNOLOGICA MUTATION TECHNOLOGIQUE NTI - NEUE INFORMATIONSTECHNOLOGIE NTI - NEW INFORMATION TECHNOLOGY NTI - NUEVA TECNOLOGIA DE LA INFORMACION NTI - NOUVELLE TECHNOLOGIE DE L'INFORMATION MODELLBILDUNG MODELIZACION MODELISATION VEREINIGTE STAATEN UNITED STATES ESTADOS UNIDOS ETATS UNIS |
| Résumé : |
By reviewing our work in Bárány, Siegel (2018a, 2018b), this article emphasizes the link between job polarization and structural change. We summarize evidence that job polarization in the United States has started as early as the 1950s: middle-wage workers have been losing both in terms of employment and average wage growth compared to low- and high-wage workers. Furthermore, at least since the 1960s the same patterns for both employment and wages have been discernible in terms of three broad sectors: low-skilled services, manufacturing and high-skilled services, and these two phenomena are closely linked. Finally, we propose a model where technology evolves at the sector-occupation cell level that can capture the employment reallocation across sectors, occupations, and within sectors. We show that this framework can be used to assess what type of biased technological change is the driver of the observed reallocations. The data suggests that technological change has been biased not only across occupations or sectors, but also across sector-occupation cells. |
| En ligne : |
https://www.cairn.info/revue-travail-et-emploi-2019-1-page-25.htm |
| Permalink : |
https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=235736 |
|
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