Poverty comparisons with dependent samples
针对常用收入样本因轮换而不独立的问题，提出一种简便的样本依赖校正方法，并应用于检验1990年代美国贫困变化及福利改革前后公共援助对贫困的边际效应。
Abstract Standard inference procedures for poverty comparisons require samples to be independent. For many commonly used income samples, however, this requirement is not fulfilled since samples are rotated. This article introduces an easy‐to‐use method of correction for sample dependency. We also apply the method to test changes in US poverty in the 1990s and to evaluate the marginal effects of public assistance on poverty before and after the recent welfare reform. Copyright © 2004 John Wiley & Sons, Ltd.