Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis.
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| Title: | Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis. |
|---|---|
| Authors: | Appleton, Simon1, Song, Lina1, Xia, Qingjie2 |
| Source: | World Development. Oct2014, Vol. 62, p1-13. 13p. |
| Subject Terms: | *Data analysis, Income gap, Urbanization, Quantile regression, Industrialization |
| Geographic Terms: | China |
| Abstract: | Summary: This paper examines change in wage gaps in urban China from 1988 to 2008 by estimating quantile regressions on CHIPS data. It applies the Machado and Mata (2005) decomposition, finding sharp increases in inequality largely due to changes in the wage structure. During 2002–08, changes in the returns to education and experience have been equalizing. However, changes in other categories of wage differential—by sex, occupation, ownership, industrial sector, and province—widened inequality. The gender gap continued to rise, as did the gap between white collar and blue collar workers, and between manufacturing and other sectors. [Copyright &y& Elsevier] |
| Copyright of World Development is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 96668188 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Appleton%2C+Simon%22">Appleton, Simon</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Song%2C+Lina%22">Song, Lina</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xia%2C+Qingjie%22">Xia, Qingjie</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22World+Development%22">World Development</searchLink>. Oct2014, Vol. 62, p1-13. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Income+gap%22">Income gap</searchLink><br /><searchLink fieldCode="DE" term="%22Urbanization%22">Urbanization</searchLink><br /><searchLink fieldCode="DE" term="%22Quantile+regression%22">Quantile regression</searchLink><br /><searchLink fieldCode="DE" term="%22Industrialization%22">Industrialization</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Summary: This paper examines change in wage gaps in urban China from 1988 to 2008 by estimating quantile regressions on CHIPS data. It applies the Machado and Mata (2005) decomposition, finding sharp increases in inequality largely due to changes in the wage structure. During 2002–08, changes in the returns to education and experience have been equalizing. However, changes in other categories of wage differential—by sex, occupation, ownership, industrial sector, and province—widened inequality. The gender gap continued to rise, as did the gap between white collar and blue collar workers, and between manufacturing and other sectors. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of World Development is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=96668188 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.worlddev.2014.04.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Data analysis Type: general – SubjectFull: Income gap Type: general – SubjectFull: Urbanization Type: general – SubjectFull: Quantile regression Type: general – SubjectFull: Industrialization Type: general – SubjectFull: China Type: general Titles: – TitleFull: Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Appleton, Simon – PersonEntity: Name: NameFull: Song, Lina – PersonEntity: Name: NameFull: Xia, Qingjie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 0305750X Numbering: – Type: volume Value: 62 Titles: – TitleFull: World Development Type: main |
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