日本工资统计数据的非响应偏差

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Official Statistics Pub Date : 2024-03-01 DOI:10.1177/0282423x241235256
Daiji Kawaguchi, Takahiro Toriyabe
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引用次数: 0

摘要

本文以日本政府的两项主要工资调查为基础,分析了单位无应答调查的偏差。我们发现,在雇员人数较少、位于都道府县且从事服务业的单位中,单位无回复现象十分普遍。此外,虽然低工资单位较少回复,但由此产生的偏差在数量上可以忽略不计。在企业雇员抽样方面,我们发现被抽样企业以适当的方式随机选择了工人。总体而言,在适当加权的情况下,日本工资统计中的非响应偏差在平均估计值的范围内可以忽略不计。除了非响应偏差外,我们还评估了因抽样人口覆盖范围有限而导致的潜在偏差,发现在工资分布的尾部存在很大偏差。特别是,剔除企业高管和雇员较少的单位会导致工资不平等被低估。
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Nonresponse Bias of Japanese Wage Statistics
This article analyzes unit nonresponse bias of establishment surveys, drawing on two major government wage surveys in Japan. We find that unit nonresponse is prevalent among establishments with fewer employees, in urban prefectures, and operating in the service industry. Further, while low-wage establishments are less likely to respond, the resulting bias is quantitatively negligible. Regarding establishment sampling of employees, we find that the sampled establishments randomly choose workers in an appropriate manner. Overall, with proper weighting, nonresponse bias is negligible in Japanese wage statistics to the extent that the mean estimate is concerned. In addition to nonresponse bias, we also assess potential bias due to limited coverage of the sampling population and find substantial bias at the tails of the wage distribution. In particular, excluding corporate executives and establishments with few employees results in an underestimation of wage inequality.
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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