G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w21111
来源IDWorking Paper 21111
Benefit Incidence with Incentive Effects, Measurement Errors and Latent Heterogeneity: A Case Study for China
Martin Ravallion; Shaohua Chen
发表日期2015-04-20
出版年2015
语种英语
摘要In what is probably the largest cash transfer program in the world today China’s Dibao program aims to fill all poverty gaps. In theory, the program creates a poverty trap, with 100% benefit withdrawal rate (BWR). But is that what we see in practice? The paper proposes an econometric method of estimating the mean BWR allowing for incentive effects, measurement errors and correlated latent heterogeneity. Under the method’s identifying assumptions, a feasible instrumental variables estimator corrects for incentive effects and measurement errors, and provides a bound for the true value when there is correlated incidence heterogeneity. The results suggest that past methods of assessing benefit incidence using either nominal official rates or raw tabulations from survey data are deceptive. The actual BWR appears to be much lower than the formal rate, and is also lower than the rate implied by optimal income tax models for poverty reduction. The paper discusses likely reasons based on qualitative observations from field work. The program’s local implementation appears to matter far more than incentives implied by its formal rules.
主题Public Economics ; Taxation ; Health, Education, and Welfare ; Poverty and Wellbeing ; Development and Growth ; Development
URLhttps://www.nber.org/papers/w21111
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/578786
推荐引用方式
GB/T 7714
Martin Ravallion,Shaohua Chen. Benefit Incidence with Incentive Effects, Measurement Errors and Latent Heterogeneity: A Case Study for China. 2015.
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