Biography

Daniel Ho’s scholarship centers on quantitative empirical legal studies, with a substantive focus on administrative, antidiscrimination, and election law. He has written on media regulation and viewpoint diversity, the history of the standing doctrine and the New Deal, the impact of war on Supreme Court civil rights and liberties decisions, the effects of affirmative action, and the consequences of local electoral administration on voting behavior. Prior to joining Stanford Law School, he clerked for Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit, and he was a postdoctoral fellow at the Institute for Quantitative Social Science at Harvard University. His work has been supported by the National Science Foundation, and he was co-recipient of the Warren Miller Prize for the best paper published in Political Analysis (2008), the McGraw-Hill Award for the best paper published by political scientists on law and courts (2006), and the Pi Sigma Alpha award for the best paper delivered at the Midwest Political Science Association (2004).

Key Works

• Daniel E. Ho and Kevin M. Quinn, Viewpoint Diversity and Media Consolidation: An Empirical Study, 61 Stanford Law Review 781 (2009).
• Daniel E. Ho, Kosuke Imai, Gary King and Elizabeth A. Stuart, Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference, 15 Political Analysis 199 (2007).
• Daniel E. Ho, Affirmative Action's Affirmative Actions: a Reply to Sander, 114 Yale Law Journal 2011 (2005).
• Daniel E. Ho and Kosuke Imai, Randomization Inference with Natural Experiments: an Analysis of Ballot Effects in the 2003 California Recall Election, 101 Journal of the American Statistical Association 888 (2006).
• Lee Epstein, Daniel E. Ho, Gary King and Jeffrey A. Segal, The Supreme Court During Crisis: How War Affects Only Non-war Cases, 80 New York University Law Review 1 (2005).

In the News

• Independent Candidate Daggett Says Ballot Order Favors Major Parties
  The Star-Ledger, September 18, 2009

Courses & Programs

Courses

• Administrative Law
• Statistical Inference in Law

Publications & Cases

Recent Publications View All

• Daniel E. Ho and Kevin M. Quinn, Did a Switch in Time Save Nine? 1 Journal of Legal Analysis (forthcoming 2010).
• Daniel E. Ho and Erica L. Ross, Did Liberal Justices Invent the Standing Doctrine? An Empirical Study of the Evolution of Standing, 1921-2006, 62 Stanford Law Review (forthcoming 2010).
• Daniel E. Ho, Measuring Agency Preferences: Experts, Voting, and the Power of Chairs, DePaul Law Review (forthcoming 2010).
• Daniel E. Ho, Reconciling Punitive Damages Evidence, Journal of Institutional and theoretical Economics (forthcoming 2010).
• Daniel E. Ho and Kevin M. Quinn, The Role of Theory and Evidence in Media Regulation and Law: A Response to Baker and a Defense of Empirical Legal Studies, 61 Federal Communications Law Journal 673 (2009).
• Daniel E. Ho and Timothy H. Shapiro, Evaluating Course Evaluations: An Empirical Analysis of a Quasi-Experiment at Stanford Law School, 2000-2007, 58 Journal of Legal Education 388 (2009).
• Daniel E. Ho and Kevin M. Quinn, Viewpoint Diversity and Media Consolidation: An Empirical Study, 61 Stanford Law Review 781 (2009).
• Daniel E. Ho and Kevin M. Quinn, Measuring Explicit Political Positions of Media, 4 Quarterly Journal of Political Science 353 (2008).
• Daniel E. Ho and Kevin M. Quinn, Improving the Presentation and Interpretation of Online Ratings Data with Model-based Figures, 62 American Statistician 279 (2008).
• Daniel E. Ho, Kosuke Imai, Gary King and Elizabeth A. Stuart, MatchIt: Nonparametric Preprocessing for Parametric Causal Inference, Journal of Statistical Software (forthcoming 2008).