OSIPP\u57fa\u5e79\u8b1b\u5ea7\u6559\u54e1\u306e9\u6708\u306e\u7814\u7a76\u696d\u7e3e\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n
\u30fb\u751f\u85e4\u660c\u5b50 \u5148\u751f\u3000\u3000\u30fb\u677e\u5cf6\u6cd5\u660e \u5148\u751f\u3000 <\/strong><\/p>\n <\/p>\n <\/p>\n <\/p>\n Masako Ikefuji<\/strong>\uff08\u8ad6\u6587\uff09<\/p>\n Masako Ikefuji, Jan R. Magnus, Andrey L. Vasnev, \u201cThe role of data and priors in estimating climate sensitivity,\u201d Journal of the Royal Statistical Society Series C: Applied Statistics<\/em>, qlaf047, 12 September 2025\uff08\u67fb\u8aad\u3042\u308a\uff09 Abstract: In Bayesian theory, the data together with the prior produce a posterior. We show that it is also possible to follow the opposite route, that is, to use data and posterior information (both of which are observable) to reveal the prior (which is not observable). We then apply the theory to equilibrium climate sensitivity as reported by the Intergovernmental Panel on Climate Change (IPCC) in an attempt to get some insights into the prior beliefs of the IPCC scientists.<\/p>\n <\/p>\n Noriaki Matsushima <\/strong>\uff08\u8ad6\u6587\uff09<\/p>\n Qiuyu Lu, Noriaki Matsushima, Shiva Shekhar, “Welfare implications of personalized pricing in competitive platform markets: The role of network effects,” International Journal of Industrial Organization<\/em>, Volume 103, Part B, 2025, 103200\uff08\u67fb\u8aad\u3042\u308a\uff09 Abstract: This study explores the welfare impact of personalized pricing for consumers in a duopolistic two-sided market, with consumers single-homing and developers affiliating with a platform according to their outside option. Personalized pricing, which is private in nature, cannot influence expectations regarding the network sizes, inducing the platforms to offer lower participation fees for developers. Those lower fees increase network benefits for consumers, allowing the platforms to exploit these benefits through personalized pricing. Personalized prices are higher when the network value for developers is high, benefiting competing platforms at the expense of consumers. These findings offer policy insights on personalized pricing.<\/p>\n <\/p>\n Sayumi Miyano<\/strong>\uff08\u8ad6\u6587\uff09<\/p>\n Kim, In Song, Steven Liao, and Sayumi Miyano (2025) “How FDI reshapes host markets\u2019 trade profile and politics.” American Journal of Political Science<\/em>. Published online: 12 September 2025. \uff08\u67fb\u8aad\u3042\u308a\uff09 Abstract: A fast-growing literature indicates that firms\u2019 engagement in foreign direct investment (FDI) and trade is key to understanding deepening global value chains and their political implications. However, existing studies have mainly focused on the ramifications for FDI home countries while often overlooking the firm-product level interactions between FDI and trade, where their interdependencies manifest. This study examines how firms\u2019 FDI reshapes host countries\u2019 trade profiles at this level, empowering new political coalitions for trade liberalization. Analyzing greenfield FDI projects globally since 2003, we find that hosts experienced an average increase of over 45 export products in the following year. To overcome the challenges of connecting firms to products, we link FDI data with Vietnamese customs records. We find that Vietnamese export (import) volumes of FDI-related products increased by 90% (30%) within 4 years of initial investments. Importantly, these products also benefited from more substantial tariff cuts in bilateral Free Trade Agreements.<\/p>\n <\/p>\n Takuro Yamashita <\/strong>\uff08\u8ad6\u6587\uff09<\/p>\n Yusuke Yamaguchi, Takuro Yamashita (2025) “Robust predictions and hard information in the market for lemons,” Economics Letters<\/em>, Volume 256, October 2025\uff08\u67fb\u8aad\u3042\u308a\uff09 Abstract: The literature on informationally robust predictions has focused mostly on soft information. In a stylized adverse selection model, we show that hard information enables trade, even when the unique equilibrium outcome without it is no-trade.<\/p>\n <\/p>\n Takuro Yamashita <\/strong>\uff08\u8ad6\u6587\uff09<\/p>\n Takeshi Murooka, Takuro Yamashita (2025) “Optimal Trade Mechanisms with Adverse Selection and Inferential Naivety,” American Economic Journal: Microeconomics<\/em>, \uff08\u67fb\u8aad\u3042\u308a\uff09Forthcoming Abstract: We study an adverse selection environment in which a buyer\u2019s inferential ability is heterogeneous: A rational type correctly infers the value of the good from a seller\u2019s offer, whereas a naive type is inattentive to the correlation between the seller\u2019s private information and the offer. We characterize the optimal menu mechanism that maximizes the seller\u2019s profits or trade surplus. Notably, no matter how severe the adverse selection is, all types of buyers trade. We then provide conditions under which the menu mechanism is optimal among all general mechanisms. A consumer-protection policy that limits the naive buyer\u2019s loss is also investigated.<\/p>\n <\/p>\n \u9ad9\u7530\u967d\u5948\u5b50 <\/strong>\uff08\u8457\u66f8\uff09<\/p>\n \u300c\u56fd\u5185\u4eba\u6a29\u6a5f\u95a2\u300dpp.13-14\u3001\u5c0f\u5742\u7530\u88d5\u5b50\u4ed6\u7de8\u300e\u30a2\u30af\u30c6\u30a3\u30d6\u30e9\u30fc\u30cb\u30f3\u30b0\u56fd\u969b\u4eba\u6a29\u6cd5\u300f\uff08\u6cd5\u5f8b\u6587\u5316\u793e\u30012025\u5e74\uff09 \u6982\u8981\uff1a\u672c\u66f8\u306f\u3001\u5b66\u90e8\u751f\u3084\u5927\u5b66\u9662\u751f\u3092\u4e3b\u306a\u5bfe\u8c61\u3068\u3057\u305f\u56fd\u969b\u4eba\u6a29\u6cd5\u306e\u6559\u79d1\u66f8\u3067\u3042\u308b\u3002\u3053\u306e\u6559\u79d1\u66f8\u306b\u304a\u3051\u308b\u300c\u56fd\u5185\u4eba\u6a29\u6a5f\u95a2\u300d\u306e\u9805\u76ee\u3092\u57f7\u7b46\u3057\u3001\u30d1\u30ea\u539f\u5247\u3084\u56fd\u5185\u4eba\u6a29\u6a5f\u95a2\u30b0\u30ed\u30fc\u30d0\u30eb\u9023\u76df\u306a\u3069\u306e\u56fd\u5185\u4eba\u6a29\u6a5f\u95a2\u306b\u304b\u304b\u308f\u308b\u57fa\u672c\u4e8b\u9805\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u3001\u56fd\u9023\u306e\u4eba\u6a29\u6761\u7d04\u6a5f\u95a2\u306e\u95a2\u9023\u3059\u308b\u5b9f\u8df5\u3084\u3001\u65e5\u672c\u306b\u304a\u3051\u308b\u56fd\u5185\u4eba\u6a29\u6a5f\u95a2\u306e\u8a2d\u7f6e\u306b\u95a2\u3059\u308b\u52d5\u5411\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u305f\u3002<\/p>\n <\/p>\n
\n\u30fb\u5bae\u91ce\u7d17\u7531\u7f8e \u5148\u751f\u3000\u30fb\u5c71\u4e0b\u62d3\u6717 \u5148\u751f\u3000
\n\u30fb\u9ad9\u7530\u967d\u5948\u5b50 \u5148\u751f\u3000\u30fb\u5ddd\u7aaa\u60a6\u7ae0 \u5148\u751f<\/p>\n\n
\nhttps:\/\/doi.org\/10.1093\/jrsssc\/qlaf047<\/a><\/p>\n<\/blockquote>\n\n
\nhttps:\/\/doi.org\/10.1016\/j.ijindorg.2025.103200<\/a><\/p>\n<\/blockquote>\n\n
\nhttps:\/\/doi.org\/10.1111\/ajps.70010<\/a><\/p>\n<\/blockquote>\n\n
\nhttps:\/\/doi.org\/10.1016\/j.econlet.2025.112568<\/a><\/p>\n<\/blockquote>\n\n
\n https:\/\/www.aeaweb.org\/articles?id=10.1257\/mic.20230019&&from=f<\/a><\/p>\n<\/blockquote>\n\n
\n https:\/\/www.hou-bun.com\/cgi-bin\/search\/detail.cgi?c=ISBN978-4-589-04434-1<\/a><\/p>\n<\/blockquote>\n\n