| 研究課題/領域番号 |
21K01439
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分07040:経済政策関連
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| 研究機関 | 政策研究大学院大学 |
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研究代表者 |
Hsu Minchung 政策研究大学院大学, 政策研究科, 教授 (20467062)
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| 研究期間 (年度) |
2021-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2023年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2022年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2021年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
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| キーワード | gender wage gap / life-cycle earnings / informal employment / inequality / life cycle income profie / Lifecycle earnings / Informal employment / developing countries |
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| 研究開始時の研究の概要 |
This project aims to study life-cycle income profiles, uncertainties and inequalities in both formal and informal sectors in developing economies and in Japan, based on micro-level data. The impacts of COVID-19 on inequalities over the life cycle and between formal/informal sectors will be also discussed.
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| 研究実績の概要 |
In FY2023, We worked on the gender wage gap issue in Japan. Our study delves into the examination of the gender wage gap over age in Japan following Goldin et al. (2017). Using the Basic Survey on Wage Structure (BSWS) data, the study aims to understand how the gap evolves over time and provides insights into its sources in Japan. The findings indicate that the wage gap widens significantly with age and is most pronounced among highly educated individuals. Additionally, our study reveals that the gap for high-education workers lessens when controlling for manager-level positions, suggesting that a significant portion of the wage gap for the high-education can be ascribed to the under-representation of women in these roles.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
We have collected individual-level data from the Basic Survey of Wage Structure (BSWS), an annual survey conducted by Japan's Ministry of Health, Labor and Welfare (MHLW). The BSWS comprehensively surveys wages across all industries in Japan.
With permission from the MHLW, this study utilized BSWS data from 2005 to 2019. The BSWS data has several advantages, such as wage and working hour records based on payroll rather than self-reporting, providing accurate data on monthly wages, overtime pay, bonuses, benefits, hours worked, and overtime.
We have cleaned the data, implemented empirical analysis and had reasonable benchmark results.
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| 今後の研究の推進方策 |
Given the empirical framework, we plan to test 3 possible factors causing the patterns of the gender wage gap in Japan:
1) regular job position (women might tend to work in non-regular positions to have more flexibility);
2) long working hours for high-pay jobs (women might opt out from high-pay jobs requiring long hours);
3) managerial positions (women might have fewer chances to be appointed as managers)
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