Labour market polarisation revisited : evidence from Austrian vacancy data

Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation...
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Autor*in:	Zilian, Laura S. [verfasserIn] Zilian, Stella [verfasserIn] Jäger, Georg [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	Skill demand Polarisation Network analysis Vacancies ESCO

Übergeordnetes Werk:	Enthalten in: Journal for labour market research - Berlin : Springer, 2004, 55(2021), 1 vom: Dez., Artikel-ID 7, Seite 1-17
Übergeordnetes Werk:	volume:55 ; year:2021 ; number:1 ; month:12 ; elocationid:7 ; pages:1-17

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1186/s12651-021-00290-4

Katalog-ID:	1756994676

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spelling	10.1186/s12651-021-00290-4 doi 10419/234250 hdl (DE-627)1756994676 (DE-599)KXP1756994676 (DE-He213)s12651-021-00290-4-e DE-627 ger DE-627 rda eng J24 J63 O15 O33 jelc Zilian, Laura S. verfasserin aut Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Skill demand (dpeaa)DE-206 Polarisation (dpeaa)DE-206 Network analysis (dpeaa)DE-206 Vacancies (dpeaa)DE-206 ESCO (dpeaa)DE-206 Zilian, Stella verfasserin (DE-588)1194205410 (DE-627)167602896X aut Jäger, Georg verfasserin (DE-588)1210209462 (DE-627)1698274513 aut Enthalten in Journal for labour market research Berlin : Springer, 2004 55(2021), 1 vom: Dez., Artikel-ID 7, Seite 1-17 Online-Ressource (DE-627)535186827 (DE-600)2375725-5 (DE-576)267378165 2510-5027 nnns volume:55 year:2021 number:1 month:12 elocationid:7 pages:1-17 https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf Verlag kostenfrei https://doi.org/10.1186/s12651-021-00290-4 Resolving-System kostenfrei http://hdl.handle.net/10419/234250 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_183 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2037 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2119 GBV_ILN_2153 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 55 2021 1 12 7 1-17 26 01 0206 3921736331 x1z 03-05-21 2403 01 DE-LFER 3935318456 00 --%%-- --%%-- n --%%-- l01 07-06-21 2403 01 DE-LFER https://doi.org/10.1186/s12651-021-00290-4 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf
allfields_unstemmed	10.1186/s12651-021-00290-4 doi 10419/234250 hdl (DE-627)1756994676 (DE-599)KXP1756994676 (DE-He213)s12651-021-00290-4-e DE-627 ger DE-627 rda eng J24 J63 O15 O33 jelc Zilian, Laura S. verfasserin aut Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Skill demand (dpeaa)DE-206 Polarisation (dpeaa)DE-206 Network analysis (dpeaa)DE-206 Vacancies (dpeaa)DE-206 ESCO (dpeaa)DE-206 Zilian, Stella verfasserin (DE-588)1194205410 (DE-627)167602896X aut Jäger, Georg verfasserin (DE-588)1210209462 (DE-627)1698274513 aut Enthalten in Journal for labour market research Berlin : Springer, 2004 55(2021), 1 vom: Dez., Artikel-ID 7, Seite 1-17 Online-Ressource (DE-627)535186827 (DE-600)2375725-5 (DE-576)267378165 2510-5027 nnns volume:55 year:2021 number:1 month:12 elocationid:7 pages:1-17 https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf Verlag kostenfrei https://doi.org/10.1186/s12651-021-00290-4 Resolving-System kostenfrei http://hdl.handle.net/10419/234250 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_183 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2037 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2119 GBV_ILN_2153 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 55 2021 1 12 7 1-17 26 01 0206 3921736331 x1z 03-05-21 2403 01 DE-LFER 3935318456 00 --%%-- --%%-- n --%%-- l01 07-06-21 2403 01 DE-LFER https://doi.org/10.1186/s12651-021-00290-4 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf
allfieldsGer	10.1186/s12651-021-00290-4 doi 10419/234250 hdl (DE-627)1756994676 (DE-599)KXP1756994676 (DE-He213)s12651-021-00290-4-e DE-627 ger DE-627 rda eng J24 J63 O15 O33 jelc Zilian, Laura S. verfasserin aut Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Skill demand (dpeaa)DE-206 Polarisation (dpeaa)DE-206 Network analysis (dpeaa)DE-206 Vacancies (dpeaa)DE-206 ESCO (dpeaa)DE-206 Zilian, Stella verfasserin (DE-588)1194205410 (DE-627)167602896X aut Jäger, Georg verfasserin (DE-588)1210209462 (DE-627)1698274513 aut Enthalten in Journal for labour market research Berlin : Springer, 2004 55(2021), 1 vom: Dez., Artikel-ID 7, Seite 1-17 Online-Ressource (DE-627)535186827 (DE-600)2375725-5 (DE-576)267378165 2510-5027 nnns volume:55 year:2021 number:1 month:12 elocationid:7 pages:1-17 https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf Verlag kostenfrei https://doi.org/10.1186/s12651-021-00290-4 Resolving-System kostenfrei http://hdl.handle.net/10419/234250 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_183 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2037 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2119 GBV_ILN_2153 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 55 2021 1 12 7 1-17 26 01 0206 3921736331 x1z 03-05-21 2403 01 DE-LFER 3935318456 00 --%%-- --%%-- n --%%-- l01 07-06-21 2403 01 DE-LFER https://doi.org/10.1186/s12651-021-00290-4 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf
allfieldsSound	10.1186/s12651-021-00290-4 doi 10419/234250 hdl (DE-627)1756994676 (DE-599)KXP1756994676 (DE-He213)s12651-021-00290-4-e DE-627 ger DE-627 rda eng J24 J63 O15 O33 jelc Zilian, Laura S. verfasserin aut Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Skill demand (dpeaa)DE-206 Polarisation (dpeaa)DE-206 Network analysis (dpeaa)DE-206 Vacancies (dpeaa)DE-206 ESCO (dpeaa)DE-206 Zilian, Stella verfasserin (DE-588)1194205410 (DE-627)167602896X aut Jäger, Georg verfasserin (DE-588)1210209462 (DE-627)1698274513 aut Enthalten in Journal for labour market research Berlin : Springer, 2004 55(2021), 1 vom: Dez., Artikel-ID 7, Seite 1-17 Online-Ressource (DE-627)535186827 (DE-600)2375725-5 (DE-576)267378165 2510-5027 nnns volume:55 year:2021 number:1 month:12 elocationid:7 pages:1-17 https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf Verlag kostenfrei https://doi.org/10.1186/s12651-021-00290-4 Resolving-System kostenfrei http://hdl.handle.net/10419/234250 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_183 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2037 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2119 GBV_ILN_2153 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 55 2021 1 12 7 1-17 26 01 0206 3921736331 x1z 03-05-21 2403 01 DE-LFER 3935318456 00 --%%-- --%%-- n --%%-- l01 07-06-21 2403 01 DE-LFER https://doi.org/10.1186/s12651-021-00290-4 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf
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topic_title	J24 J63 O15 O33 jelc Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger Skill demand (dpeaa)DE-206 Polarisation (dpeaa)DE-206 Network analysis (dpeaa)DE-206 Vacancies (dpeaa)DE-206 ESCO (dpeaa)DE-206
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title_full	Labour market polarisation revisited evidence from Austrian vacancy data Laura S. Zilian, Stella S. Zilian and Georg Jäger
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title_auth	Labour market polarisation revisited evidence from Austrian vacancy data
abstract	Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.
abstractGer	Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.
abstract_unstemmed	Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.
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title_short	Labour market polarisation revisited
url	https://link.springer.com/content/pdf/10.1186/s12651-021-00290-4.pdf https://doi.org/10.1186/s12651-021-00290-4 http://hdl.handle.net/10419/234250
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Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. 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Labour market polarisation revisited : evidence from Austrian vacancy data

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