摘要
抽样难是对农民工主流群体研究稀少的原因之一,农民工具有聚集性和流动性,总体不明使得常规抽样方法的抽样成本高、效率低,适应性区群抽样能更经济高效地获得可进行统计推断的样本。本文以北京市城八区的农民工抽样为例,介绍了适应性区群抽样方法的基本原理、主要操作步骤、权重计算、统计推断,以及在实际操作中应注意的若干问题。
The migrant workers are characterized by their cluster distribution and highly floating,it is very difficult to study them by the regular sampling methods for lack of populations.An adaptive cluster sampling method has emerged to more efficient and less costly obtain the sample for statistic inference.This paper describes the theoretical and methodological backgrounds,basic ideas,major principles,and operational procedures of ACS based on the Beijing migrant workers sampling in 2007.It also discusses the problem when ACS is actually practiced.
出处
《统计研究》
CSSCI
北大核心
2012年第5期100-104,共5页
Statistical Research
基金
国家社会科学基金重大项目中标课题"城市化进程中的农民工问题研究"(05&ZD041)的成果之一
国家自然科学基金"从‘流而不迁’到进城落户--基于农民工理性算计的抉择及其制度约束"(71073164)的资助
关键词
适应性区群抽样
农民工
研究方法
Adaptive Cluster Sampling
Migrant Population
Research Methodology
