Modelling low income transitions
使用一阶马尔可夫模型分析低收入状态转换的决定因素，控制初始条件和样本流失偏差，基于1990年代英国家庭面板数据发现贫困存在显著的状态依赖性。
Abstract We examine the determinants of low income transitions using first‐order Markov models that control for initial conditions effects (those found to be poor in the base year may be a non‐random sample) and for attrition (panel retention may also be non‐random). The model estimates, derived from British panel data for the 1990s, indicate that there is substantial state dependence in poverty, separate from persistence induced by heterogeneity. We also provide estimates of low income transition rates and lengths of poverty and non‐poverty spells for persons of different types. Copyright © 2004 John Wiley & Sons, Ltd.