劳动力调查中的非抽样误差问题分析  

Analysis of Non-sampling Errors in National Labor Force Survey

作　　者：王争 杜子芳[1] Wang Zheng;Du Zifang(School of Statistics,Renmin University of China)

机构地区：[1]中国人民大学统计学院

出　　处：《调研世界》2022年第1期83-88,共6页The World of Survey and Research

基　　金：国家统计局重大统计专项课题“劳动力调查抽样设计及数据推算方法研究”(2020ZX10)的资助。

摘　　要：劳动力调查能反映一个国家或地区的劳动力资源分布状况和劳动就业失业情况,我国于2016年开始正式实施全国月度劳动力调查。研究者对于劳动力调查的研究多集中在抽样方案、方差估计和样本轮换上,在非抽样误差方面的专题讨论并不多。本文结合我国劳动力调查的发展历程、抽样调查设计和实际调查情况,梳理了劳动力调查中的非抽样问题的几种类型,并给出了针对性的建议,有效降低非抽样误差对劳动力调查结果的影响,也为我国其他持续监测项目预防及控制非抽样误差提供参考。Labor force surveys reflect the distribution of labor resources and the employment and unemployment of labor force in a country or region.China formally implemented the national monthly labor force survey in 2016.Most of the research on labor force surveys focuses on sampling scheme,variance estimation and sample rotation,with few discussions on non-sampling errors.Based on the development history of labor force survey in China,sampling survey design and actual practice,this paper sorts out several types of non-sampling problems in labor force survey,and gives specific suggestions to effectively reduce the impact of non-sampling errors on the survey results.It also provides a reference for the prevention and control of non-sampling errors in other large-scale continuous monitoring projects in China.

关 键 词：劳动力调查 非抽样误差 抽样框维护 回答误差 无回答误差 

分 类 号：C811[社会学—统计学]