Noncomparable Poverty Comparisons
指出，基于单次访问的贫困估计在跨国比较中可能不可比，因为多次访问家庭会得到不同结果。以约旦为例，采用国际可比方法处理重复访问数据得到的贫困率比官方估计高26%。
Poverty estimates based on enumeration from a single point in time form the basis for most country-level analysis of poverty. Cross-country comparisons of poverty, and global counts of the poor, implicitly assume that country-level poverty headcounts are comparable. This paper illustrates that the assumption of comparability is potentially invalid when households are interviewed multiple times throughout the year, as opposed to a single-visit interview. An example from Jordan illustrates how the internationally comparable approach of handling data from repeat visits yields a poverty rate that is 26 per cent greater than the rate that is currently reported as the official estimate.