Daniel L. Chen, Vardges Levonyan, S.Eric Reinhart, and Glen Taksler, “Mandatory Disclosure: Theory and Evidence from Industry-Physician Relationships”, Journal of Legal Studies, vol. 48, n. 2, June 2019, pp. 409–440.
Daniel L. Chen, “Judicial Analytics and the Great Transformation of American Law”, Artificial Intelligence and the Law, vol. 27, n. 1, March 2019, pp. 15–42.
Daniel L. Chen, “Law and Literature: Theory and Evidence on Empathy and Guile”, Review of Law and Economics, vol. 15, n. 1, March 2019.
Daniel L. Chen, “Intermediated Social Preferences: Altruism in an Algorithmic Era”, in Advances in Economics of Religion, Jean-Paul Carvalho, Sriya Iyer, and Jared Rubin (eds.), Palgrave Macmillan, series “International Economic Association Series”, vol. 158, 2019, pp. 119–138.
Daniel L. Chen, “Machine Learning and the Rule of Law”, 2019in Law as Data: Computation, Text, and the Future of Legal Analysis, Michael Livermore, and Daniel Rockmore (eds.), Santa Fe Institute Press, 2019.
Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan Yu, “Attorney Voice and the U.S. Supreme Court”, 2019in Law as Data: Computation, Text, and the Future of Legal Analysis, Michael Livermore, and Daniel Rockmore (eds.), Santa Fe Institute Press, 2019.
Daniel L. Chen, and Elliott Ash, “Case Vectors: Spatial Representations of the Law Using Document Embeddings”, Law as Data, vol. 11, 2019.
Aurélie Ouss, and Arnaud Philippe, “No Hatred or Malice, Fear or Affection": Media and Sentencing”, Journal of Political Economy, vol. 126, n. 5, October 2018, pp. 2134–2178.
Thomas Christiano, “Fairness in Voluntary Transactions and the All Affected Principle”, in All Affected Principle, Dannielle Allen, Archon Fung, and Tomer Perry (eds.), Cambridge University Press, March 2018.