| Budget Amount *help |
¥45,890,000 (Direct Cost: ¥35,300,000、Indirect Cost: ¥10,590,000)
Fiscal Year 2022: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2021: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2020: ¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
Fiscal Year 2019: ¥20,020,000 (Direct Cost: ¥15,400,000、Indirect Cost: ¥4,620,000)
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| Outline of Final Research Achievements |
In this study, we constructed a new dataset using a "Finance Management App." The app utilizes account aggregation technology to access various financial accounts owned by households and automatically collect information on financial transactions. By augmenting the household income and expense information collected through the app with additional proprietary surveys on the demographic attributes of app users, we created a panel dataset that contains equal or greater information compared to existing public statistics. This unique dataset, which includes young individuals that were difficult to capture in conventional surveys, enables ongoing analysis of household behavior.
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