![[UTMD-084] Using Big Data and Machine Learning to Uncover How Players Choose Mixed Strategies (by Toshihiko Hirasawa, Michihiro Kandori, Akira Matsushita) (Revised version of UTMD-033)](/wp/wp-content/uploads/2024/09/thumb-WP.jpg)
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[UTMD-083] A Note on Identification of Match Fixed Effects as Interpretable Unobserved Match Affinity (by Suguru Otani, Tohya Sugano)
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[UTMD-082] Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings (by Masaya Nishihata, Suguru Otani)
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[UTMD-081] Endowments-swapping-proofness in house allocation problems with private and social endowments (by Yuji Fujinaka, Takuma Wakayama)
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[UTMD-080] Nonparametric Estimation of Matching Efficiency and Elasticity on a Private On-the-Job Search Platform: Evidence from Japan, 2014-2024 (by Suguru Otani)
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[UTMD-079] Nonparametric Estimation of Matching Efficiency and Elasticity in a Spot Gig Work Platform: 2019–2023(by Hayato Kanayama, Suguru Otani)
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[UTMD-078] Nonparametric Estimation of Matching Efficiency and Mismatch in Labor Markets via Public Employment Security Offices in Japan, 1972-2024 (by Suguru Otani)
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[UTMD-077] Local Support or Structural Barriers? Unpacking Local Bias in Equity-Based Crowdfunding (by Keiichi Kawai, Akira Matsushita)
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[UTMD-76] Properties of Path-Independent Choice Correspondences and Their Applications to Efficient and Stable Matchings (by Keisuke Bando, Kenzo Imamura, Yasushi Kawase)
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