| 研究課題/領域番号 |
20K01560
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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07010:理論経済学関連
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| 研究機関 | 京都大学 |
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研究代表者 |
陳 珈惠 京都大学, 経済研究所, 准教授 (20768238)
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| 研究期間 (年度) |
2020-04-01 – 2023-03-31
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| 研究課題ステータス |
完了 (2022年度)
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| 配分額 *注記 |
3,640千円 (直接経費: 2,800千円、間接経費: 840千円)
2022年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
2021年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
2020年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
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| キーワード | rating system / online platform / adverse selection / dynamic game / social learning / experimentation / online reviews |
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| 研究開始時の研究の概要 |
We first emphasize frictions on platforms. With buyers of different traits and sellers' manipulations, we show that without a good design, online reviews may slow down the learning process. We will further consider more complicated purchase environment, such as selection among several alternatives.
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| 研究成果の概要 |
This project provides an analytical framework to understand how the information access brought by the internet influences consumers' behavior, sellers' business strategy, and the speed of truth discovery, and further sheds light on how platforms design their review systems to improve efficiency.
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| 研究成果の学術的意義や社会的意義 |
Papers studying social learning with online reviews indicate that online reviews help improve efficiency in social learning. However, the ease of information access also creates manipulations and generate additional costs. This project fills this gap between the existing literature and the reality.
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