【Empirical seminar】Machine Learning and Comparative Law

  • 研討會日期 : 2022-12-02
  • 時間 : 14:30
  • 主講人 : Professor Yun-Chien Chang (張永健)
  • 地點 : Conference room B110
  • 主持人 : Professor Jiun-Hua Su
  • 演講者簡介 : Professor Yun-Chien Chang (張永健) received his J.S.D. from the New York University in 2009. He is currently a Research Professor at the Institutum Iurisprudentiae, Academia Sinica. His research interests are Private Law, Land Use Regulation, Economic Analysis of Law and Empirical Legal Studies.
  • 演講摘要 : This talk summarizes several published and forthcoming articles in which I use machine-learning algorithms and a few unique data sets on legal rules around the world. The machine-learning algorithms used include those regarding classifications, dimension reductions, and clustering. The legal fields include property, antitrust, and constitutional law. These exercises have implications for economists in multiple ways: First, it shows why the legal origin as an instrumental variable in various "law and finance" (started by LLSV) and "economic development" studies is problematic. Second, GDP growth rates do not have a clear relationship with the substance of law. Third, standard microeconomic theories go along way toward explaining the convergence and divergence of legal rules around the world.