Concerns about incentives and targeting naturally arise when cash transfers are used to fight poverty. The authors address these concerns in the context of China's Di Bao program, which uses means-tested transfers to try to assure that no registered urban resident has an income below a...

Concerns about incentives and targeting naturally arise when cash transfers are used to fight poverty. The authors address these concerns in the context of China's Di Bao program, which uses means-tested transfers to try to assure that no registered urban resident has an income below a...

"Concerns about incentives and targeting naturally arise when cash transfers are used to fight poverty. The authors address these concerns in the context of China's Di Bao program, which uses means-tested transfers to try to assure that no registered urban resident has an income below a...

Relative deprivation, shame and social exclusion can matter to the welfare of people everywhere. The authors argue that such social effects on welfare call for a reconsideration of how we assess global poverty, but they do not support standard measures of relative poverty. The paper argues...

In 2005, China participated for the first time in the International Comparison Program (ICP), which collects primary data across countries on the prices for an internationally comparable list of goods and services. This paper examines the implications of the new Purchasing Power Parity (PPP)...

The paper revisits the site of a large, World Bank-financed, rural development program in China 10 years after it began and four years after disbursements ended. The program emphasized community participation in multi-sectoral interventions (including farming, animal husbandry, infrastructure...

Empirical studies of tax and benefit incidence routinely ignore behavioral responses and measurement errors. This paper offers an econometric method of estimating the mean benefit withdrawal rate (marginal tax rate) allowing for incentive effects, measurement errors, and correlated latent...