We use 1995, 2002 and 2013 CHIP data to investigate the urban household consumption expenditure inequality. The overall inequality of urban household consumption expenditure measured by Gini coefficient slightly decreases from 0.33 in 1995 to 0.32 in 2002, but increases to 0.36 in 2013, which...

We use CHIP data from 1995, 2002, and 2013 to investigate inequality in urban household consumption expenditures. Overall inequality in urban household consumption expenditures measured by the Gini coefficient decreased slightly from 0.33 in 1995 to 0.32 in 2002, but it increased to 0.36 in...

This paper examines the effects of state sector domination on wage inequality in urban China. Using Chinese Household Income Project surveys, we conduct two exercises: with quantile regression analysis, we identify wage gaps across the distribution and over time; and we employ the Machado and...

This paper examines the effect of the public sector and state-owned enterprises (SOEs) on wage inequality in urban China using China Household Income Project data. It applies quantile regression analysis, the Machado and Mata decomposition to investigate how urban wage inequality was affected by...

This paper examines the effects of state sector domination on wage inequality in urban China. Using Chinese Household Income Project surveys, we conduct two exercises: with quantile regression analysis, we identify wage gaps across the distribution and over time; and we employ the Machado and...

This paper examines the effects of state sector domination on wage inequality in urban China. Using Chinese Household Income Project surveys, we conduct two exercises: with quantile regression analysis, we identify wage gaps across the distribution and over time; and we employ the Machado and...

We use 1995, 2002 and 2013 CHIP data to investigate the urban household consumption expenditure inequality. The overall inequality of urban household consumption expenditure measured by Gini coefficient slightly decreases from 0.33 in 1995 to 0.32 in 2002, but increases to 0.36 in 2013, which...

We use CHIP data from 1995, 2002, and 2013 to investigate inequality in urban household consumption expenditures. Overall inequality in urban household consumption expenditures measured by the Gini coefficient decreased slightly from 0.33 in 1995 to 0.32 in 2002, but it increased to 0.36 in...