Li Hao                              郝 丽

 
Home Research Teaching CV
 

Publications

  1. Li Hao and Daniel Houser. Belief Elicitation in the Presence of Novice Participants: An Experimental Study. Journal of Risk and Uncertainty, 44.2 (2012): 161-180
  2. Li Hao and Daniel Houser. Adaptive Procedures for Wilcoxon-Mann-Whitney Tests: Seven Decades of Advances”  Communications in Statistics: Theory and Methods, 44.9 (2015): 1939-1957
  3. Cary Deck, Li Hao and David Porter. Do Prediction Markets Aid Defenders in a Weak-Link Contest?Journal of Economic Behavior & Organization 117 (2015): 248-258
  4. John Aloysius, Cary Deck, Ryan French, and Li Hao. An Experimental Investigation of Procurement Auctions with Asymmetric BiddersProduction and Operations Management (2016)
  5. Li Hao, Daniel Houser, Lei Mao and Marie Claire Villeval.Migrations, Risks, and Uncertainty: A Field Experiment in China”  Journal of Economic Behavior & Organization. 131 (2016): 126-140.
  6. Li Hao and Daniel Houser, Perceptions, Intentions, and Cheating”  Forthcoming at Journal of Economic Behavior & Organization.

    Current  Research:

    1. Sasha Behnk, Li Hao and Ernesto Reuben, "Understanding Diffusion of Responsiblity in Anti-social Behavior"
    2. Li Hao Xiao Liu, Chao Tang, and Jiang Yang, "When Reputation Mechanism Fails: Detecting Strategic Fraudulent Sellers on Alibaba's Platform Market"
    3. Li Hao, Daniel Houser, and Aniket Panjwani: "Analysis of Dynamic Games with Biased Beliefs: An Experimental Study"

    Research in Early Stage:

    1. Does Unequa Wealth Distribution Increase Asset Market Bubbles? An Experimental Study, with Cary Deck, Weineng Xu, and Tim Yeager
    2. False Advertising and Buyers’ Beliefs, with Jason Aimone and Erik Kimbrough
    3. Singapore Certificate-Of-Entitlement Auctions: Field and Laboratory Analyses
    4. An Incentive-Compatible Mechanism for Eliciting Belief Intervals: Theory and Experiment, with Edi Karni
    5. A Powerful Adaptive Distribution-free Procedure for Matched Samples, with Daniel Houser
    6. Analyzing Binary Data: Power and Size of Commonly Used Tests, with Daniel Houser