台灣法律經濟學實證的判決資料－介紹與應用

THE INTRODUCTION AND APPLICATIONS OF THE LEGAL DATA SETS COMMONLY USED IN TAIWAN FOR EMPIRICAL STUDIES IN LAW AND ECONOMICS

林常青(Chang-Ching Lin)

《經濟論文》 47卷4期 (2019/12) Pp. 533-546

摘要

法律經濟學的許多實證需要用到裁判書，這些資料不只外國才有，事實上台灣也有相對完整的各級法院判決。本文將介紹司法院的「裁判書」與「司法院及所屬各級法院之終結案件資料」。後者為已整理好且有結構的摘要資訊，而前者則是較無結構的文件，但都可免費下載且可提供豐富資訊。近年大數據與人工智慧為各學科領域帶來許多震撼，如何善用前述裁判大數據也成為本研究領域的重要議題。本文也將分享一些前處理經驗供讀者參考，期能協助研究者跨越進入法律經濟學實證門檻。

關鍵字

法官行為 ； 量刑決定 ； 法律程序與系統 ； 法院裁判書 ； 終結案件資料 ； 大數據

並列摘要

Many empirical studies in law and economics require the use of the court written judgements. These materials are not only available in foreign countries. In fact, Taiwan also has relatively complete court decisions at all court-levels. This article will introduce the common used two data sets provided by the Judicial Yuan: one is a well-organized and structured summary information and the other is a less structured documents. They both can be downloaded for free and can provide useful information. In recent years, big data and artificial intelligence have brought great impacts in various subject areas. How to make full use of the above data sets has become an important topic in this research field. This article will also share some text pre-processing experience for readers' reference, which may help researchers to overcome the data barriers of empirical research in law and economics.

並列關鍵字

Judge behaviors ； Sentencing decisions ； Legal procedure and system ； Court written judgement ； Closed case summaries ； Big data

參考文獻

段品任 ( 2019 ) , 《 人工智慧於法律的應用一死刑與無期徒刑的案件分類 》 , 國立成功大學經濟學系碩士論文 [Duan, P.-R. (2019), The Application of Artificial Intelligence to the Law: The Classification of Capital Punishment and Life Imprisonment, Master Thesis, Department of Economics, National Cheng Kung University.]

張永健 ( 2019 ) , 《 法實證研究一原理 、 方法與應用 》 , 台北 : 新學林 。 [ Chang , Y.-c. ( 2019 ) , Empirical Legal Studies: Principles, Methods, and Applications, Taipei: New Sharing.]

張芝嘉 ( 2019 ) , 《 侵害商標權損害賠償數額實證研究 -Python 語言輔助處理大量判決 》 , 國立成功大學經濟學系碩士論文. [Chang, C.-C. (2019), Empirical Study on Compen- sation for Damage of Trademark Infringement: Extracting Data from Court Verdicts with Python, Master Thesis, Department of Economics, National Cheng Kung University.]

Chang, Y.-c., K.-P. Chen, and C.-C. Lin (2018), “Anchoring Effect in Real Litigation: An Empirical Study," University of Chicago Coase-Sandor Institute for Law & Economics Research Paper, No. 744.

Chang, Y.-c., K.-P. Chen, and C.-C. Lin (2019), “Knowledge in Youth Is Wisdom in Age: An Empirical Study of Attorney Experience in Torts Litigation," NYU Law and Economics Research Paper, No. 19-26.