2023 Fiscal Year Final Research Report
The estimation of supervisor effects, and the structural estimation of the learning model of supervisor assignment
| Project/Area Number |
19K01718
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 07050:Public economics and labor economics-related
|
|---|
| Research Institution | Kobe University (2023)
University of Hyogo (2022)
Hiroshima University (2019-2021) |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
都留 康 一橋大学, 経済研究所, 特任教授 (00155441)
|
|---|
| Project Period (FY) |
2019-04-01 – 2024-03-31
|
| Keywords | 上司効果 / 昇任 / インセンティブ / ラーニングモデル |
|---|
| Outline of Final Research Achievements |
Using branch-manager linked data from a cooperative bank and a car sales bank, we investigate the source of branch performance differences. Despite the significant variation in the local conditions of branches, we found that managerial talent matters significantly. Manager effects explain about 30% of the raw variation in the branch profit per. Branch effects explain a larger share of the variations in branch profit per worker (about 60%). We did not find evidence that branch managers are rewarded for their real contributions, measured by the estimated manager effects, via salary increase. Rather, they are rewarded merely for the raw performance of their branches. Managers are rewarded, however, with improved branch assignments when they increase profit-per-worker. A one standard deviation improvement in manager effects would increase the probability of being assigned to the top quartile branches by 8.7%.
|
| Free Research Field |
労働経済学
|
| Academic Significance and Societal Importance of the Research Achievements |
上司と部下の関係は、会社組織の中で最も重要な関係である。上司は従業員のトレーニングを行い、従業員のモチベーションを高めることなどで、従業員の生産性に影響を及ぼす。しかし、労働経済学の実証分析は、もっぱら従業員の能力分布に焦点を当てており、上司生産性の推定に正面から取り組んでこなかった。もちろんCEOの生産性に関する文献は多いが、人事制度理論は、会社組織の各層における中間管理職が直属部下の生産性に影響を与えるという前提で組み立てられており、中間管理職（上司）が部下に与える影響の実証分析は喫緊の課題である。本研究は稀に見る詳細な上司部下マッチデータを用い、上司効果を詳細に検証することが出来た。
|
