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 |
応募区分 | 一般 |
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 |
研究代表者 |
Hsu Minchung 政策研究大学院大学, 政策研究科, 准教授 (20467062)
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研究期間 (年度) |
2021-04-01 – 2024-03-31
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研究課題ステータス |
交付 (2022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 | life-cycle earnings / informal employment / inequality / life cycle income profie / Lifecycle earnings / Informal employment / developing countries |
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 |
I have worked on the research of life-cycle profiles of earnings using data from Indonesia, Vietnam and Chile and investigate the effects of formal and informal employment experiences during FY2022. With Indonesian and Vietnamese data, I aim to investigate the patterns of earnings for both formal and informal workers. In both countries, informal workers account for more than 70% of the total employment. Regarding Chile, I utilize rich information from the Chilean panel survey data, Social Protection Survey (EPS), and administrative data of pension contributions (HPA) that allows us to identify formal/informal employment histories. With this information, I focus on investigating the disparity in wage driven by sector-specific experiences with the Chilean data.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
The data management and empirical analysis took longer than expected.
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今後の研究の推進方策 |
In FY2023, I will continue the estimation of earnings profiles over the life cycle by education and by sectors. I will further take into account the selection issue. In addition, I will investigate earnings risk over the life cycle and develop a life-cycle model to perform policy experiments, and discuss implications for inequality, taxation, and social security.
Outlines of the work plan in FY2023: 1. Estimation of Earnings Profiles: Estimate earnings profiles using the method used in Kambourov and Manovskii (2009) to control for cohort and education effects in addition to the sector earnings differences over the life cycle. Take into account the selection issue mentioned by Heckman (1979, Econometrica). 2. Investigation of Earnings Risk: Investigate earnings risk over the life cycle using a method similar to that in Storesletten, Telmer and Yaron (2004) and Krueger, Mitman and Perri (2016). 3. Development of a Life-Cycle Model: Develop a life-cycle model incorporating the estimated earnings profiles and shocks. 4. Policy Experiments: Conduct policy experiments using the life-cycle model and discuss implications for inequality, taxation, and social security.
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