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[Comments on specific article] No.68-Estimate the Income Inequality using Engel Curve Approach
Time: 2017/9/8 2:42:50
Abstract: Adopting a simple demand system, we aim to re-estimate China.s income inequality using the Urban Household Survey (UHS) data assuming the expenditure data is well measured. We find income inequality growth exceeds the growth rate of consumption inequality, although income inequality is still lower than consumption inequality over the period 2003-2009. We also .nd that the increase of income inequality is mainly due to the increase of inequality between the middle expenditure group and the high expenditure group, while the income inequality between the middle-expenditure group and the low-expenditure group slightly decreases. This not only confirms the presence of pervasive grey income, also implying that grey incomes mostly exist in the high-expenditure stratum. Following Aguiar and Bils (2015), we assume that the Engel coeffcient is log-linear and that the income elasticities are constant over time. In the robustness test, we relax the assumptions and find that the estimation results are still robust.
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© 版权所有:收入分配研究团队 2012-2024 京ICP备12037474号-1
地址:北京市海淀区新街口外大街19号 邮编:100875
Copyright © 2012-2024 Research Team of Income Distribution. All Rights Reserved
Address: 4th Floor of Jing-shi-xue-tang and Room 9504 of Jingshi Hotel, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing, 100875.
© 版权所有:收入分配研究团队 2012-2024 京ICP备12037474号-1
地址:北京市海淀区新街口外大街19号 邮编:100875
Copyright © 2012-2024 Research Team of Income Distribution. All Rights Reserved
Address: 4th Floor of Jing-shi-xue-tang and Room 9504 of Jingshi Hotel, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing, 100875.