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One of the most notable social phenomena in China is the large urban-rural disparity. There are many studies of it, but … and rural households in China from 1988 to 2002. Our results suggest that low quantiles are associated with large …
Persistent link: https://www.econbiz.de/10005822420
One of the most notable social phenomena in China is the large urban-rural disparity. There are many studies of it, but … and rural households in China from 1988 to 2002. Our results suggest that low quantiles are associated with large …
Persistent link: https://www.econbiz.de/10013325009
This paper investigates the evolution of earnings inequality in urban China from 1989 to 2006. After decomposing the …
Persistent link: https://www.econbiz.de/10010268752
This paper investigates the evolution of earnings inequality in urban China from 1989 to 2006. After decomposing the …
Persistent link: https://www.econbiz.de/10005703458
This paper investigates the evolution of earnings inequality in urban China from 1989 to 2006. After decomposing the … distribution of long-term earnings. -- Earnings inequality ; covariance structure of earnings ; China …
Persistent link: https://www.econbiz.de/10003656879
This paper investigates the evolution of earnings inequality in urban China from 1989 to 2006. After decomposing the …
Persistent link: https://www.econbiz.de/10013325187
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10010267689
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10005762292
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10003222502
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10012784056