The distributive effects of education : an unconditional quantile regression approach

We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions t...
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Autor*in:	Alejo, Javier [verfasserIn] Sosa Escudero, Walter Gabrielli, María Florencia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Soziale Infrastruktur Bildungsniveau Wirkung Auswirkung Chancengleichheit Bildung Einkommen Einkommensverteilung Argentinien

Umfang:	Online Ressource ; graph.Darst., Tab., Anh., Lit. S. 73-74, Lit.Hinw.

Reproduktion:	Online-Ausg.
Übergeordnetes Werk:	In: Revista de análisis económico - Santiago, Chile : El Programa, 1986, 29(2014), 1, Seite 53-76
Übergeordnetes Werk:	volume:29 ; year:2014 ; number:1 ; pages:53-76

Links:	Volltext

Katalog-ID:	1514966069

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title_full	The distributive effects of education an unconditional quantile regression approach Javier Alejo; Maria Florencia Gabrielli; Walter Sosa-Escudero
author_sort	Alejo, Javier
journal	Revista de análisis económico
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author-letter	Alejo, Javier
title_sub	an unconditional quantile regression approach
title_sort	distributive effects of educationan unconditional quantile regression approach
title_auth	The distributive effects of education an unconditional quantile regression approach
abstract	We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings
abstractGer	We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings
abstract_unstemmed	We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings
url	http://www.rae-ear.org/index.php/rae/article/view/400/549
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spelling	(DE-627)1514966069 (DE-576)444966064 (DE-599)BSZ444966064 (DE-615)00928578 DE-627 ger DE-627 rakwb eng RD04.11 fivr SG02 fivs Alejo, Javier verfasserin (DE-588)142725447 (DE-627)638515378 (DE-576)33304312X aut The distributive effects of education an unconditional quantile regression approach Javier Alejo; Maria Florencia Gabrielli; Walter Sosa-Escudero 2014 Online Ressource graph.Darst., Tab., Anh., Lit. S. 73-74, Lit.Hinw. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings Online-Ausg. (DE-588)4137584-1 (DE-627)105648957 (DE-576)209678860 Soziale Infrastruktur gnd (DE-588)4145482-0 (DE-627)104317558 (DE-576)209741805 Bildungsniveau gnd (DE-588)4190021-2 (DE-627)104160543 (DE-576)210063904 Wirkung gnd (DE-588)4112646-4 (DE-627)105835684 (DE-576)209469684 Auswirkung gnd (DE-588)4009736-5 (DE-627)10444407X (DE-576)208884408 Chancengleichheit gnd (DE-588)4006650-2 (DE-627)106376810 (DE-576)208866450 Bildung gnd (DE-588)4013887-2 (DE-627)104467193 (DE-576)208905898 Einkommen gnd (DE-588)4013898-7 (DE-627)106341626 (DE-576)208905936 Einkommensverteilung gnd (DE-588)4002890-2 (DE-627)106391658 (DE-576)208849157 Argentinien gnd Sosa Escudero, Walter (DE-588)171187997 (DE-627)061363502 (DE-576)132001691 oth Gabrielli, María Florencia oth In Revista de análisis económico Santiago, Chile : El Programa, 1986 29(2014), 1, Seite 53-76 Online-Ressource (DE-627)365132837 (DE-600)2111073-6 (DE-576)277978378 0716-5927 nnns volume:29 year:2014 number:1 pages:53-76 http://www.rae-ear.org/index.php/rae/article/view/400/549 Aggregator Volltext GBV_USEFLAG_U GBV_ILN_2470 ISIL_DE-615 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 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_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 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 (DE-627)1756132747 RD04.11 Argentinien Lateinamerika Südamerika Argentinien fivr (DE-627)1756135916 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur Gesellschaft Gesellschaftsentwicklung/Gesellschaftsstruktur fivs (DE-627)1756218676 (DE-615)6600178 Argentinien fivt (DE-627)1756192057 (DE-615)6608169 Soziale Infrastruktur fivt (DE-627)1756228876 (DE-615)6609543 Bildungsniveau/Ausbildungsstand fivt (DE-627)1756241791 (DE-615)6607914 Wirkung/Auswirkung fivt (DE-627)1756228868 (DE-615)6608497 Bildungschancen fivt (DE-627)1756227810 (DE-615)6605938 Einkommen fivt (DE-627)1756186138 (DE-615)6610112 Soziale Ungleichheit fivt (DE-627)1756213801 (DE-615)6600230 Einkommensverteilung fivt AR 29 2014 1 53-76 2470 01 DE-615 2862255793 00 --%%-- --%%-- p --%%-- l01 27-05-15 2470 01 DE-615 http://www.rae-ear.org/index.php/rae/article/view/400/549 2470 01 DE-615 00 s Argentinien; Soziale Infrastruktur; Bildungsniveau/Ausbildungsstand; Wirkung/Auswirkung; Bildungschancen; Einkommen; Soziale Ungleichheit; Einkommensverteilung 2470 01 DE-615 01 s Argentina; Social infrastructures; Education level; Effects/consequences; Educational opportunities; Income; Social inequality; Income distribution 2470 01 DE-615 00 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur 2470 01 DE-615 01 RD04.11 Argentinien 2470 01 DE-615 02 SG02 Social process/Social structure
allfields_unstemmed	(DE-627)1514966069 (DE-576)444966064 (DE-599)BSZ444966064 (DE-615)00928578 DE-627 ger DE-627 rakwb eng RD04.11 fivr SG02 fivs Alejo, Javier verfasserin (DE-588)142725447 (DE-627)638515378 (DE-576)33304312X aut The distributive effects of education an unconditional quantile regression approach Javier Alejo; Maria Florencia Gabrielli; Walter Sosa-Escudero 2014 Online Ressource graph.Darst., Tab., Anh., Lit. S. 73-74, Lit.Hinw. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings Online-Ausg. (DE-588)4137584-1 (DE-627)105648957 (DE-576)209678860 Soziale Infrastruktur gnd (DE-588)4145482-0 (DE-627)104317558 (DE-576)209741805 Bildungsniveau gnd (DE-588)4190021-2 (DE-627)104160543 (DE-576)210063904 Wirkung gnd (DE-588)4112646-4 (DE-627)105835684 (DE-576)209469684 Auswirkung gnd (DE-588)4009736-5 (DE-627)10444407X (DE-576)208884408 Chancengleichheit gnd (DE-588)4006650-2 (DE-627)106376810 (DE-576)208866450 Bildung gnd (DE-588)4013887-2 (DE-627)104467193 (DE-576)208905898 Einkommen gnd (DE-588)4013898-7 (DE-627)106341626 (DE-576)208905936 Einkommensverteilung gnd (DE-588)4002890-2 (DE-627)106391658 (DE-576)208849157 Argentinien gnd Sosa Escudero, Walter (DE-588)171187997 (DE-627)061363502 (DE-576)132001691 oth Gabrielli, María Florencia oth In Revista de análisis económico Santiago, Chile : El Programa, 1986 29(2014), 1, Seite 53-76 Online-Ressource (DE-627)365132837 (DE-600)2111073-6 (DE-576)277978378 0716-5927 nnns volume:29 year:2014 number:1 pages:53-76 http://www.rae-ear.org/index.php/rae/article/view/400/549 Aggregator Volltext GBV_USEFLAG_U GBV_ILN_2470 ISIL_DE-615 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 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_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 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 (DE-627)1756132747 RD04.11 Argentinien Lateinamerika Südamerika Argentinien fivr (DE-627)1756135916 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur Gesellschaft Gesellschaftsentwicklung/Gesellschaftsstruktur fivs (DE-627)1756218676 (DE-615)6600178 Argentinien fivt (DE-627)1756192057 (DE-615)6608169 Soziale Infrastruktur fivt (DE-627)1756228876 (DE-615)6609543 Bildungsniveau/Ausbildungsstand fivt (DE-627)1756241791 (DE-615)6607914 Wirkung/Auswirkung fivt (DE-627)1756228868 (DE-615)6608497 Bildungschancen fivt (DE-627)1756227810 (DE-615)6605938 Einkommen fivt (DE-627)1756186138 (DE-615)6610112 Soziale Ungleichheit fivt (DE-627)1756213801 (DE-615)6600230 Einkommensverteilung fivt AR 29 2014 1 53-76 2470 01 DE-615 2862255793 00 --%%-- --%%-- p --%%-- l01 27-05-15 2470 01 DE-615 http://www.rae-ear.org/index.php/rae/article/view/400/549 2470 01 DE-615 00 s Argentinien; Soziale Infrastruktur; Bildungsniveau/Ausbildungsstand; Wirkung/Auswirkung; Bildungschancen; Einkommen; Soziale Ungleichheit; Einkommensverteilung 2470 01 DE-615 01 s Argentina; Social infrastructures; Education level; Effects/consequences; Educational opportunities; Income; Social inequality; Income distribution 2470 01 DE-615 00 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur 2470 01 DE-615 01 RD04.11 Argentinien 2470 01 DE-615 02 SG02 Social process/Social structure
allfieldsGer	(DE-627)1514966069 (DE-576)444966064 (DE-599)BSZ444966064 (DE-615)00928578 DE-627 ger DE-627 rakwb eng RD04.11 fivr SG02 fivs Alejo, Javier verfasserin (DE-588)142725447 (DE-627)638515378 (DE-576)33304312X aut The distributive effects of education an unconditional quantile regression approach Javier Alejo; Maria Florencia Gabrielli; Walter Sosa-Escudero 2014 Online Ressource graph.Darst., Tab., Anh., Lit. S. 73-74, Lit.Hinw. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings Online-Ausg. (DE-588)4137584-1 (DE-627)105648957 (DE-576)209678860 Soziale Infrastruktur gnd (DE-588)4145482-0 (DE-627)104317558 (DE-576)209741805 Bildungsniveau gnd (DE-588)4190021-2 (DE-627)104160543 (DE-576)210063904 Wirkung gnd (DE-588)4112646-4 (DE-627)105835684 (DE-576)209469684 Auswirkung gnd (DE-588)4009736-5 (DE-627)10444407X (DE-576)208884408 Chancengleichheit gnd (DE-588)4006650-2 (DE-627)106376810 (DE-576)208866450 Bildung gnd (DE-588)4013887-2 (DE-627)104467193 (DE-576)208905898 Einkommen gnd (DE-588)4013898-7 (DE-627)106341626 (DE-576)208905936 Einkommensverteilung gnd (DE-588)4002890-2 (DE-627)106391658 (DE-576)208849157 Argentinien gnd Sosa Escudero, Walter (DE-588)171187997 (DE-627)061363502 (DE-576)132001691 oth Gabrielli, María Florencia oth In Revista de análisis económico Santiago, Chile : El Programa, 1986 29(2014), 1, Seite 53-76 Online-Ressource (DE-627)365132837 (DE-600)2111073-6 (DE-576)277978378 0716-5927 nnns volume:29 year:2014 number:1 pages:53-76 http://www.rae-ear.org/index.php/rae/article/view/400/549 Aggregator Volltext GBV_USEFLAG_U GBV_ILN_2470 ISIL_DE-615 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 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_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 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 (DE-627)1756132747 RD04.11 Argentinien Lateinamerika Südamerika Argentinien fivr (DE-627)1756135916 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur Gesellschaft Gesellschaftsentwicklung/Gesellschaftsstruktur fivs (DE-627)1756218676 (DE-615)6600178 Argentinien fivt (DE-627)1756192057 (DE-615)6608169 Soziale Infrastruktur fivt (DE-627)1756228876 (DE-615)6609543 Bildungsniveau/Ausbildungsstand fivt (DE-627)1756241791 (DE-615)6607914 Wirkung/Auswirkung fivt (DE-627)1756228868 (DE-615)6608497 Bildungschancen fivt (DE-627)1756227810 (DE-615)6605938 Einkommen fivt (DE-627)1756186138 (DE-615)6610112 Soziale Ungleichheit fivt (DE-627)1756213801 (DE-615)6600230 Einkommensverteilung fivt AR 29 2014 1 53-76 2470 01 DE-615 2862255793 00 --%%-- --%%-- p --%%-- l01 27-05-15 2470 01 DE-615 http://www.rae-ear.org/index.php/rae/article/view/400/549 2470 01 DE-615 00 s Argentinien; Soziale Infrastruktur; Bildungsniveau/Ausbildungsstand; Wirkung/Auswirkung; Bildungschancen; Einkommen; Soziale Ungleichheit; Einkommensverteilung 2470 01 DE-615 01 s Argentina; Social infrastructures; Education level; Effects/consequences; Educational opportunities; Income; Social inequality; Income distribution 2470 01 DE-615 00 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur 2470 01 DE-615 01 RD04.11 Argentinien 2470 01 DE-615 02 SG02 Social process/Social structure
allfieldsSound	(DE-627)1514966069 (DE-576)444966064 (DE-599)BSZ444966064 (DE-615)00928578 DE-627 ger DE-627 rakwb eng RD04.11 fivr SG02 fivs Alejo, Javier verfasserin (DE-588)142725447 (DE-627)638515378 (DE-576)33304312X aut The distributive effects of education an unconditional quantile regression approach Javier Alejo; Maria Florencia Gabrielli; Walter Sosa-Escudero 2014 Online Ressource graph.Darst., Tab., Anh., Lit. S. 73-74, Lit.Hinw. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter- factual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings Online-Ausg. (DE-588)4137584-1 (DE-627)105648957 (DE-576)209678860 Soziale Infrastruktur gnd (DE-588)4145482-0 (DE-627)104317558 (DE-576)209741805 Bildungsniveau gnd (DE-588)4190021-2 (DE-627)104160543 (DE-576)210063904 Wirkung gnd (DE-588)4112646-4 (DE-627)105835684 (DE-576)209469684 Auswirkung gnd (DE-588)4009736-5 (DE-627)10444407X (DE-576)208884408 Chancengleichheit gnd (DE-588)4006650-2 (DE-627)106376810 (DE-576)208866450 Bildung gnd (DE-588)4013887-2 (DE-627)104467193 (DE-576)208905898 Einkommen gnd (DE-588)4013898-7 (DE-627)106341626 (DE-576)208905936 Einkommensverteilung gnd (DE-588)4002890-2 (DE-627)106391658 (DE-576)208849157 Argentinien gnd Sosa Escudero, Walter (DE-588)171187997 (DE-627)061363502 (DE-576)132001691 oth Gabrielli, María Florencia oth In Revista de análisis económico Santiago, Chile : El Programa, 1986 29(2014), 1, Seite 53-76 Online-Ressource (DE-627)365132837 (DE-600)2111073-6 (DE-576)277978378 0716-5927 nnns volume:29 year:2014 number:1 pages:53-76 http://www.rae-ear.org/index.php/rae/article/view/400/549 Aggregator Volltext GBV_USEFLAG_U GBV_ILN_2470 ISIL_DE-615 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 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_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 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 (DE-627)1756132747 RD04.11 Argentinien Lateinamerika Südamerika Argentinien fivr (DE-627)1756135916 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur Gesellschaft Gesellschaftsentwicklung/Gesellschaftsstruktur fivs (DE-627)1756218676 (DE-615)6600178 Argentinien fivt (DE-627)1756192057 (DE-615)6608169 Soziale Infrastruktur fivt (DE-627)1756228876 (DE-615)6609543 Bildungsniveau/Ausbildungsstand fivt (DE-627)1756241791 (DE-615)6607914 Wirkung/Auswirkung fivt (DE-627)1756228868 (DE-615)6608497 Bildungschancen fivt (DE-627)1756227810 (DE-615)6605938 Einkommen fivt (DE-627)1756186138 (DE-615)6610112 Soziale Ungleichheit fivt (DE-627)1756213801 (DE-615)6600230 Einkommensverteilung fivt AR 29 2014 1 53-76 2470 01 DE-615 2862255793 00 --%%-- --%%-- p --%%-- l01 27-05-15 2470 01 DE-615 http://www.rae-ear.org/index.php/rae/article/view/400/549 2470 01 DE-615 00 s Argentinien; Soziale Infrastruktur; Bildungsniveau/Ausbildungsstand; Wirkung/Auswirkung; Bildungschancen; Einkommen; Soziale Ungleichheit; Einkommensverteilung 2470 01 DE-615 01 s Argentina; Social infrastructures; Education level; Effects/consequences; Educational opportunities; Income; Social inequality; Income distribution 2470 01 DE-615 00 SG02 Gesellschaftsentwicklung/Gesellschaftsstruktur 2470 01 DE-615 01 RD04.11 Argentinien 2470 01 DE-615 02 SG02 Social process/Social structure
language	English
source	In Revista de análisis económico 29(2014), 1, Seite 53-76 volume:29 year:2014 number:1 pages:53-76
sourceStr	In Revista de análisis económico 29(2014), 1, Seite 53-76 volume:29 year:2014 number:1 pages:53-76
format_phy_str_mv	Article
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selectbib_iln_str_mv	2470@01
geographic	(DE-588)4002890-2 (DE-627)106391658 (DE-576)208849157 Argentinien gnd
authorswithroles_txt_mv	Alejo, Javier @@aut@@ Sosa Escudero, Walter @@oth@@ Gabrielli, María Florencia @@oth@@
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author	Alejo, Javier
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topic	fivr RD04.11 fivs SG02 gnd Soziale Infrastruktur gnd Bildungsniveau gnd Wirkung gnd Auswirkung gnd Chancengleichheit gnd Bildung gnd Einkommen gnd Einkommensverteilung fivt Argentinien fivt Soziale Infrastruktur fivt Bildungsniveau/Ausbildungsstand fivt Wirkung/Auswirkung fivt Bildungschancen fivt Einkommen fivt Soziale Ungleichheit fivt Einkommensverteilung 2470 Argentinien; Soziale Infrastruktur; Bildungsniveau/Ausbildungsstand; Wirkung/Auswirkung; Bildungschancen; Einkommen; Soziale Ungleichheit; Einkommensverteilung 2470 Argentina; Social infrastructures; Education level; Effects/consequences; Educational opportunities; Income; Social inequality; Income distribution
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title	The distributive effects of education an unconditional quantile regression approach
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title_short	The distributive effects of education
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GND_str_mv	Alejo, Javier Soziale Infrastruktur Bildungsstand Bildungsgrad Bildungsniveau Wirkungen Effekt Effekte Wirkung Fortwirken Folge Nachwirkung <Auswirkung> Auswirkung Chancenungleichheit Chancengleichheit Bildung Geldeinkommen Einkommen Einkommen / Verteilung Distribution <Einkommensverteilung> Verteilung / Volkseinkommen Einkommensverteilung Argentine Argentinah Argentine Republic Argentina República Argentina République Argentine Confederación Argentina Argentinien Sosa-Escudero, Walter Escudero, Walter Sosa Sosa Escudero, Walter
GND_txt_mv	Alejo, Javier Soziale Infrastruktur Bildungsstand Bildungsgrad Bildungsniveau Wirkungen Effekt Effekte Wirkung Fortwirken Folge Nachwirkung <Auswirkung> Auswirkung Chancenungleichheit Chancengleichheit Bildung Geldeinkommen Einkommen Einkommen / Verteilung Distribution <Einkommensverteilung> Verteilung / Volkseinkommen Einkommensverteilung Argentine Argentinah Argentine Republic Argentina República Argentina République Argentine Confederación Argentina Argentinien Sosa-Escudero, Walter Escudero, Walter Sosa Sosa Escudero, Walter
GND_txtF_mv	Alejo, Javier Soziale Infrastruktur Bildungsstand Bildungsgrad Bildungsniveau Wirkungen Effekt Effekte Wirkung Fortwirken Folge Nachwirkung <Auswirkung> Auswirkung Chancenungleichheit Chancengleichheit Bildung Geldeinkommen Einkommen Einkommen / Verteilung Distribution <Einkommensverteilung> Verteilung / Volkseinkommen Einkommensverteilung Argentine Argentinah Argentine Republic Argentina República Argentina République Argentine Confederación Argentina Argentinien Sosa-Escudero, Walter Escudero, Walter Sosa Sosa Escudero, Walter
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up_date	2024-07-04T18:28:07.419Z
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The distributive effects of education : an unconditional quantile regression approach

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