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J-GLOBAL ID：201401029392762341   Update date: May. 01, 2024

Sueishi Naoya

スエイシ ナオヤ | Sueishi Naoya
Affiliation and department：
神戸大学 大学院経済学研究科 経済学専攻

About 神戸大学 大学院経済学研究科 経済学専攻


Job title： 教授
Homepage URL  (1)： http://kaken.nii.ac.jp/d/r/40596251.ja.html
Research field  (1)： Economic statistics
Research keywords  (3)： Econometrics ,  経験尤度法 ,  モデル選択
Research theme for competitive and other funds  (9)：
  • 2024 - 2027 意思決定のための因果推論の理論
  • 2022 - 2025 Machine Learning methods for Econometric analysis
  • 2021 - 2024 Efficiency bound for moment restriction models with time series observations
  • 2019 - 2023 Microeconometric analysis for causal inference and its applications to EBPM
  • 2018 - 2021 Large Sample Theory for Bayesian Estimation of Moment Restriction Models
Show all
Papers (18)：
  • 末石直也. 変数選択後の統計的推測. 国民経済雑誌. 2023. 227. 2. 15-27
  • Naoya Sueishi. Large Sample Justifications for the Bayesian Empirical Likelihood. Econometric Theory. 2022
  • Yoshiki Nakajima, Naoya Sueishi. Forecasting the Japanese macroeconomy using high-dimensional data. The Japanese Economic Review. 2022. 73. 2. 299-324
  • 末石直也. 条件付きモーメント制約モデルの効率性限界. 国民経済雑誌. 2021. 223. 6. 73-88
  • SUEISHI Naoya. Regularization Parameter Selection Methods for Lasso. Kokumin-Keizai Zasshi. 2019. 220. 4
ｍore...
MISC (9)：
  • Naoya Sueishi. A Misuse of Specification Tests. arXiv. 2022
  • Muneya Matsui, Naoya Sueishi. Trigonometrically approximated maximum likelihood estimation for stable law. arXiv. 2022
  • Akira Shinkyu, Naoya Sueishi. Small Tuning Parameter Selection for the Debiased Lasso. arXiv. 2022
  • SUEISHI NAOYA, Tomohiro Ando. On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator. SSRN. 2017
  • SUEISHI NAOYA. サンプルセレクションとセルフセレクション. 日本労働研究雑誌. 2015
ｍore...
Books (2)：
  • データ駆動型回帰分析 : 計量経済学と機械学習の融合
    日本評論社 2024 ISBN:9784535540484
  • 計量経済学 ミクロデータ分析へのいざない
    日本評論社 2015
Lectures and oral presentations  (4)：
  • A Misuse of Specification Tests
    (2023)
  • Large Sample Justifications for the Bayesian Empirical Likelihood
    (2020)
  • Large Sample Justifications for the Bayesian Empirical Likelihood
    (2020)
  • Penalized empirical likelihood estimation and model selection for high-dimensional misspecified moment restriction models
    (The 2nd Annual International Conference on Applied Econometrics in Hawaii 2016)
Education (2)：
  • 2006 - 2010 University of Wisconsin-Madison Department of Economics
  • 2002 - 2004 Kyoto University
Professional career (3)：
  • 修士(経済学) (京都大学)
  • M.S.(Economics) (University of Wisconsin-Madison)
  • Ph.D(Economics) (University of Wisconsin-Madison)
Work history (3)：
  • 2019/04 - 現在 Kobe University
  • 2015/04 - 2019/03 Kobe University Graduate School of Economics
  • 2010/09 - 2015/03 Kyoto University
Awards (1)：
  • 2020/03 - 村尾育英会 学術奨励賞 モーメント制約モデルの効率性限界の分析
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