2014
DOI: 10.1016/j.worlddev.2014.04.005
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Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis

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Cited by 64 publications
(27 citation statements)
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References 24 publications
(23 reference statements)
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“…Instead of restricting covariate effects on conditional means, these regressions allow analyzing whether the effect of a given covariate changes over the conditional distribution of the dependent variable (Koenker and Hallock, 2001). Recent applications have used quantile regressions to model a range of heterogeneous effects from determinants of wages (Appleton et al, 2014), technology adoption (Sanglestsawai et al, 2014), social capital (Grootaert and Narayan, 2004) and CO 2 emissions (You et al, 2015) to impacts of economic inequality (Hassine, 2015;Nguyen et al, 2007). The conditional quantile function of given can be expressed as…”
Section: Quantile Regressions Model Specificationmentioning
confidence: 99%
“…Instead of restricting covariate effects on conditional means, these regressions allow analyzing whether the effect of a given covariate changes over the conditional distribution of the dependent variable (Koenker and Hallock, 2001). Recent applications have used quantile regressions to model a range of heterogeneous effects from determinants of wages (Appleton et al, 2014), technology adoption (Sanglestsawai et al, 2014), social capital (Grootaert and Narayan, 2004) and CO 2 emissions (You et al, 2015) to impacts of economic inequality (Hassine, 2015;Nguyen et al, 2007). The conditional quantile function of given can be expressed as…”
Section: Quantile Regressions Model Specificationmentioning
confidence: 99%
“…Appleton et al [23]. Many researchers also pay attention to regional disparity and its influencing factors.…”
Section: Introductionmentioning
confidence: 99%
“…Since the early 1990s, Chinese cities have experienced rapid growth not only in income and population size but also in income inequality. The income Gini coefficient for the nation rose from 0.38 in 1988, to 0.45 in 1999, and to 0.49 in 2007 (Knight, ), reflecting increasing reward to skills and disparity in opportunities associated with different social and occupational background (Appleton et al., ). The Gini coefficient varies considerably across Chinese cities, ranging from 0.246 to 0.483 according to 2007 Urban Household Survey (UHS) data (Zheng et al.…”
Section: Introductionmentioning
confidence: 99%