Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/58650 
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dc.contributor.authorWang, Leen
dc.date.accessioned2012-04-23-
dc.date.accessioned2012-06-15T07:49:56Z-
dc.date.available2012-06-15T07:49:56Z-
dc.date.issued2011-
dc.identifier.piurn:nbn:de:101:1-201201103042en
dc.identifier.urihttp://hdl.handle.net/10419/58650-
dc.description.abstractChina's phenomenal growth is accompanied by both relatively low level of standards of living and high inequality. It is widely believe that investing in education could be an effective strategy to promote higher standards of living as well as to reduce inequality. However, little is known about whether this belief is empirically supported. To this end, we employ a recently developed distributional approach to estimate returns to education across the whole earnings distribution in urban China during economic transition. We find that returns to education are generally more pronounced for individuals in the lower tail of the earnings distribution than for those in the upper tail, in stark contrast to the results found in developed countries. Our result implies that education indeed reduces earnings inequality while increasing individuals' earnings. We also find that the returns to education are uniformly larger for women than for men across the distribution. The results suggest the presence of added effects of education on earnings, as opposed to productivity-enhancing effects, for disadvantaged groups. Finally, we find that rates of educational return increased over time for all parts of the earnings distribution.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x6173en
dc.subject.jelJ24en
dc.subject.jelJ61en
dc.subject.jelJ31en
dc.subject.jelJ7en
dc.subject.jelJ15en
dc.subject.jelC31en
dc.subject.ddc330en
dc.subject.keywordreturns to educationen
dc.subject.keywordinequalityen
dc.subject.keywordgender gapen
dc.subject.keywordeconomic transitionen
dc.subject.keywordinstrumental variable quantile regressionen
dc.titleHow does education affect the earnings distribution in urban China?-
dc.typeWorking Paperen
dc.identifier.ppn696796732en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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