→yue­haob@umich.edu →CV

I am an Assis­tant Pro­fes­sor of Eco­nom­ics at the Uni­ver­sity of Michi­gan. My research inter­ests lie in econo­met­ric the­ory. I received my PhD from the Uni­ver­sity of Chicago in 2020.

Published or forthcoming papers

  1. (2023) “Why Ran­dom­ize? Min­i­max Opti­mal­ity under Per­mu­ta­tion Invari­ance,” Jour­nal of Econo­met­rics 232(2), 565–575. doi
  2. (2022) “Opti­mal­ity of Matched-Pair Designs in Ran­dom­ized Con­trolled Tri­als,” Amer­i­can Eco­nomic Review 112(12), 3911–3940. doi sup­ple­ment
  3. (2022) “Infer­ence in Exper­i­ments with Matched Pairs” (with J. P. Romano and A. M. Shaikh), Jour­nal of the Amer­i­can Sta­tis­ti­cal Asso­ci­a­tion 117(540), 1726–1737. doi sup­ple­ment code
  4. (2022) “A Two-Step Method for Test­ing Many Moment Inequal­i­ties” (with A. San­tos and A. M. Shaikh), Jour­nal of Busi­ness and Eco­nomic Sta­tis­tics 40(3), 1070–1080. doi code
  5. (2021) “Infer­ence for Sup­port Vec­tor Regres­sion under $\ell_1$ Reg­u­lar­iza­tion” (with H. Ho, G. A. Pouliot, and J. K. C. Shea), AEA Papers and Pro­ceed­ings 111, 611–615. doi

Working papers

  1. (2022) “Infer­ence in Clus­ter Ran­dom­ized Tri­als with Matched Pairs” (with J. Liu, A. M. Shaikh, and M. Tabord-Mee­han), work­ing paper. doi
  2. (2022) “Revis­it­ing the Analy­sis of Matched-Pair and Strat­i­fied Exper­i­ments in the Pres­ence of Attri­tion” (with M. H. Hsieh, J. Liu, and M. Tabord-Mee­han), work­ing paper. doi code
  3. (2022) “Infer­ence for Matched Tuples and Fully Blocked Fac­to­r­ial Designs” (with J. Liu and M. Tabord-Mee­han), work­ing paper. doi code
  4. (2022) “On Test­ing Sys­tems of Lin­ear Inequal­i­ties with Known Coef­fi­cients” (with A. San­tos and A. M. Shaikh), work­ing paper.

  5. (2022) “Par­tial Iden­ti­fi­ca­tion of Treat­ment Effect Rank­ings with Instru­men­tal Vari­ables” (with A. M. Shaikh and E. J. Vyt­lacil), work­ing paper (draft com­ing soon). abstract slides

    This paper devel­ops par­tial-iden­ti­fi­ca­tion and infer­ence for treat­ment effect para­me­ters and the rank­ings of treat­ments in an instru­men­tal vari­able frame­work while impos­ing alter­na­tive monot­o­nic­ity restric­tions. In par­tic­u­lar, we con­sider a dis­crete, multi-val­ued treat­ment, a binary out­come, and a dis­crete, pos­si­bly multi-val­ued instru­ment. We use a lin­ear pro­gram­ming for­mu­la­tion to present a flex­i­ble frame­work and to develop gen­eral results for char­ac­ter­iz­ing the testable restric­tions and the sharp iden­ti­fi­ca­tion of treat­ment effect para­me­ters and the rank­ings of treat­ments in terms of these para­me­ters that fol­low from impos­ing instru­ment exo­gene­ity while addi­tion­ally impos­ing alter­na­tive monot­o­nic­ity restric­tions on how the treat­ments depend on the instru­ments and how the out­comes depend on the treat­ments. Our results nest both ordered and unordered treat­ments. We fur­ther char­ac­ter­ize lead­ing spe­cial cases of our gen­eral analy­sis. We develop meth­ods for simul­ta­ne­ous infer­ence about the con­sis­tency of the observed data with our restric­tions and the treat­ment effect rank­ing when the dis­tri­bu­tion of the observed data is con­sis­tent with our restric­tions. We illus­trate our method­ol­ogy with empir­i­cal appli­ca­tions to the encour­age­ment design of Behaghel, Cre­pon and Gur­gand (2014) inves­ti­gat­ing the effects of pub­lic vs pri­vate job search assis­tance; the RCTs with one-sided non-com­pli­ance of Angrist, Lang and Ore­opou­los (2009) inves­ti­gat­ing the effects of alter­na­tive strate­gies on aca­d­e­mic per­for­mance of col­lege stu­dents and of Blattman, Jami­son, and Sheri­dan (2017) inves­ti­gat­ing the effects cash incen­tives and ther­apy on reduc­ing crime in Liberia; and the RCT with close sub­sti­tutes of Kline and Wal­ters (2016) inves­ti­gat­ing the effects of alter­na­tive early child­hood pro­grams.