All Publications


  • Improving Scientific Judgments in Law and Government: A Field Experiment of Patent Peer Review JOURNAL OF EMPIRICAL LEGAL STUDIES Ho, D. E., Ouellette, L. 2020; 17 (2): 190–223

    View details for DOI 10.1111/jels.12249

    View details for Web of Science ID 000534645700001

  • Due Process and Mass Adjudication: Crisis and Reform STANFORD LAW REVIEW Ames, D., Handan-Nader, C., Ho, D. E., Marcus, D. 2020; 72 (1): 1–78
  • Feasible Policy Evaluation by Design: A Randomized Synthetic Stepped-Wedge Trial of Mandated Disclosure in King County. Evaluation review Handan-Nader, C., Ho, D. E., Elias, B. 2020: 193841X20930852

    Abstract

    Evidence-based policy is limited by the perception that randomized controlled trials (RCTs) are expensive and infeasible. We argue that carefully tailored research design can overcome these challenges and enable more widespread randomized evaluations of policy implementation. We demonstrate how a stepped-wedge (randomized rollout) design that adapts synthetic control methods overcame substantial practical, administrative, political, and statistical constraints to evaluating King County's new food safety rating system. The core RCT component of the evaluation came at little financial cost to the government, allowed the entire county to be treated, and resulted in no functional implementation delay. The case of restaurant sanitation grading has played a critical role in the scholarship on information disclosure, and our study provides the first evidence from a randomized trial of the causal effects of grading on health outcomes. We find that the grading system had no appreciable effects on foodborne illness, hospitalization, or food handling practices but that the system may have marginally increased public engagement by encouraging higher reporting.

    View details for DOI 10.1177/0193841X20930852

    View details for PubMedID 32527152

  • Menu labeling, calories, and nutrient density: Evidence from chain restaurants. PloS one Ho, D. E., Mbonu, O., McDonough, A., Pottash, R. 2020; 15 (5): e0232656

    Abstract

    The Food and Drug Administration's menu labeling rule requires chain restaurants to prominently display calories, while leaving other nutritional information (e.g., fat, sodium, sugar) to the request of consumers. We use rich micronutrient data from 257 large chain brands and 24,076 menu items to examine whether calories are correlated with widely used "nutrient profile" scores that measure healthfulness based on nutrient density. We show that calories are indeed statistically significant predictors of nutrient density. However, as a substantive matter, the correlation is highly attenuated (partial R2 < 0.01). Our findings (a) suggest that the promise of calorie labeling to improve nutrient intake quality at restaurants is limited and (b) clarify the basis for transparency of nutrient composition beyond calories to promote healthy menu choices.

    View details for DOI 10.1371/journal.pone.0232656

    View details for PubMedID 32379786

  • New Evidence on Information Disclosure through Restaurant Hygiene Grading AMERICAN ECONOMIC JOURNAL-ECONOMIC POLICY Ho, D. E., Ashwood, Z. C., Handan-Nader, C. 2019; 11 (4): 404–28
  • Quality Review of Mass Adjudication: A Randomized Natural Experiment at the Board of Veterans Appeals, 2003-16 JOURNAL OF LAW ECONOMICS & ORGANIZATION Ho, D. E., Handan-Nader, C., Ames, D., Marcus, D. 2019; 35 (2): 239–88
  • Deep learning to map concentrated animal feeding operations NATURE SUSTAINABILITY Handan-Nader, C., Ho, D. E. 2019; 2 (4): 298–306
  • When Algorithms Import Private Bias into Public Enforcement: The Promise and Limitations of Statistical Debiasing Solutions Altenburger, K. M., Ho, D. E. J C B MOHR. 2019: 98–122
  • Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews Altenburger, K. M., Ho, D. E., Assoc Comp Machinery ASSOC COMPUTING MACHINERY. 2019: 2543–50
  • Do Checklists Make a Difference? A Natural Experiment from Food Safety Enforcement JOURNAL OF EMPIRICAL LEGAL STUDIES Ho, D. E., Sherman, S., Wyman, P. 2018; 15 (2): 242–77
  • Does Peer Review Work? An Experiment of Experimentalism STANFORD LAW REVIEW Ho, D. E. 2017; 69 (1): 1-119
  • TESTING THE MARKETPLACE OF IDEAS NEW YORK UNIVERSITY LAW REVIEW Ho, D. E., Schauer, F. 2015; 90 (4): 1160-1228
  • Randomizing ... What? A Field Experiment of Child Access Voting Laws JOURNAL OF INSTITUTIONAL AND THEORETICAL ECONOMICS-ZEITSCHRIFT FUR DIE GESAMTE STAATSWISSENSCHAFT Ho, D. E. 2015; 171 (1): 150-170
  • Does Class Size Affect the Gender Gap? A Natural Experiment in Law JOURNAL OF LEGAL STUDIES Ho, D. E., Kelman, M. G. 2014; 43 (2): 291-321

    View details for DOI 10.1086/676953

    View details for Web of Science ID 000344362400003

  • Fudging the Nudge: Information Disclosure and Restaurant Grading YALE LAW JOURNAL Ho, D. E. 2012; 122 (3): 574-688
  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference JOURNAL OF STATISTICAL SOFTWARE Ho, D. E., Imai, K., King, G., Stuart, E. A. 2011; 42 (8)
  • Credible Causal Inference for Empirical Legal Studies ANNUAL REVIEW OF LAW AND SOCIAL SCIENCE, VOL 7 Ho, D. E., Rubin, D. B. 2011; 7: 17-40
  • How Not to Lie with Judicial Votes: Misconceptions, Measurement, and Models CALIFORNIA LAW REVIEW Ho, D. E., Quinn, K. M. 2010; 98 (3): 813-876
  • Reconciling Punitive Damages Evidence JOURNAL OF INSTITUTIONAL AND THEORETICAL ECONOMICS-ZEITSCHRIFT FUR DIE GESAMTE STAATSWISSENSCHAFT Ho, D. E. 2010; 166 (1): 27-32
  • DID LIBERAL JUSTICES INVENT THE STANDING DOCTRINE? AN EMPIRICAL STUDY OF THE EVOLUTION OF STANDING, 1921-2006 STANFORD LAW REVIEW Ho, D. E., Ross, E. L. 2010; 62 (3): 591-667
  • VIEWPOINT DIVERSITY AND MEDIA CONSOLIDATION: AN EMPIRICAL STUDY STANFORD LAW REVIEW Ho, D. E., Quinn, K. M. 2009; 61 (4): 781-868
  • Improving the Presentation and Interpretation of Online Ratings Data with Model-Based Figures AMERICAN STATISTICIAN Ho, D. E., Quinn, K. M. 2008; 62 (4): 279-288
  • Evaluating Course Evaluations: An Empirical Analysis of a Quasi-Experiment at the Stanford Law School, 2000-2007 JOURNAL OF LEGAL EDUCATION Ho, D. E., Shapiro, T. H. 2008; 58 (3): 388-412
  • Estimating causal effects of ballot order from a randomized natural experiment - The California alphabet lottery, 1978-2002 PUBLIC OPINION QUARTERLY Ho, D. E., Imai, K. 2008; 72 (2): 216-240

    View details for DOI 10.1093/poq/nfn018

    View details for Web of Science ID 000256523900003

  • Measuring Explicit Political Positions of Media QUARTERLY JOURNAL OF POLITICAL SCIENCE Ho, D. E., Quinn, K. M. 2008; 3 (4): 353-377
  • Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference POLITICAL ANALYSIS Ho, D. E., Imai, K., King, G., Stuart, E. A. 2007; 15 (3): 199-236

    View details for DOI 10.1093/pan/mpl013

    View details for Web of Science ID 000248544000002

  • Randomization inference with natural experiments: An analysis of ballot effects in the 2003 California recall election 63rd Annual Meeting of the Midwest-Political-Science-Association Ho, D. E., Imai, K. AMER STATISTICAL ASSOC. 2006: 888–900