2021 Fiscal Year Final Research Report
Production Network and Business Cycle cost : Theory and Quantification
| Project/Area Number |
19K13645
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 07010:Economic theory-related
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| Research Institution | Hitotsubashi University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | クロスセクションデータ / ネットワーク / 成長理論 |
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| Outline of Final Research Achievements |
We attempted to analyze the impact of trading networks on workers using the Japanese earthquake, but found no impact on workers as we had in mind, suggesting rather that the Japanese labor market seems to be robust to such a large shock. We therefore changed our perspective and worked to build a macro model that included information on the network structure and cross-section. This model made it possible to analyze not only the allocation problem through time, but also the simultaneous allocation problem at the same time. Using this framework, we (1) analyzed whether the framework of applied microeconomics can be embedded in macroeconomics, and (2) constructed a growth theory model in which there are multiple goods and multiple capital, and attempted to apply it to the stagnation of the world economy.
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| Free Research Field |
マクロ経済学
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| Academic Significance and Societal Importance of the Research Achievements |
Evidence-Based Policy Making（EBPM）という言葉に代表されるように，よりデータに基づいた分析が望まれている．これはマクロ経済学にも当てはまることである．マクロ経済学は歴史的に時系列データを分析することが主流であったが，近年よりクロスセクションデータを用い，応用ミクロ経済学の手法を応用できる可能性が広がってきた．我々の分析の枠組みをより一般化，そして応用することで，マクロ経済における政策意思決定においても，より客観的な視点から政策当局者に有意義な分析を提供できるようになると考えている．
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