Nonresponse Bias of Japanese Wage Statistics

Author:

Kawaguchi Daiji1,Toriyabe Takahiro2

Affiliation:

1. The University of Tokyo, Bunkyo-ku, Tokyo, Japan

2. Hitotsubashi University, Kunitachi, Tokyo, Japan

Abstract

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.

Publisher

SAGE Publications

Reference47 articles.

1. Alvaredo F., Moriguchi C., Saez E. 2012. “Japan Estimates of Top Income Shares: Update Up to 2010.” WID.world Technical Note Series. Available at: https://EconPapers.repec.org/RePEc:wel:tenote:201207 (accessed September 2023).

2. Top incomes and the gender divide

3. Making sense of Labour Force Survey response rates

4. Survey response rate levels and trends in organizational research

5. Bee C. A., Gathright G. M., Meyer B. D. 2015. “Bias from Unit Non-Response in the Measurement of Income in Household Surveys.” Unpublished Paper. Available at: https://harris.uchicago.edu/files/jsm2015_bgm_unit_non-response_in_cps.pdf (accessed September 2023).

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