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オガワ タカユキ
OGAWA Takayuki
小川 貴之 所属 大阪経済大学 経済学部 経済学科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2023/12/08 |
形態種別 | その他 |
標題 | Migration under Knightian Uncertainty |
執筆形態 | 共著 |
掲載誌名 | SSRN Working Paper |
掲載区分 | 国外 |
出版社・発行元 | SSRN (Social Science Research Network) |
総ページ数 | 34 |
著者・共著者 | Takayuki Ogawa and Jun Sakamoto |
概要 | This study develops a differentiated-good, two-factor, two-region model wherein households face Knightian uncertainty over wage income when deciding to migrate. Uncertainty over wage income at the destination makes emigration less attractive; consequently, interregional labor allocation becomes inefficient, causing wage differentials across regions. In this context, the provision of accurate information to reduce uncertainty helps increase world production by correcting the distorted labor allocation. However, this does not necessarily imply Pareto gains, because the host region suffers from a deterioration in its terms of trade. Additionally, we show that in the presence of uncertainty, an interregional income transfer compensates for the host region's welfare loss, leading to a Pareto improvement. |
DOI | http://dx.doi.org/10.2139/ssrn.4652359 |