Yuanyuan Wan, Ph.D. - Publications

Affiliations: 
2011 Pennsylvania State University, State College, PA, United States 
Area:
Theory Economics

9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Mourifie I, Wan Y. Two-Way Exclusion Restrictions in Models with Heterogeneous Treatment Effects Econometrics Journal. DOI: 10.2139/Ssrn.2761986  0.368
2018 Luo Y, Wan Y. Integrated-Quantile-Based Estimation for First-Price Auction Models Journal of Business & Economic Statistics. 36: 173-180. DOI: 10.1080/07350015.2016.1166119  0.614
2017 Mourifie I, Wan Y. Testing Local Average Treatment Effect Assumptions The Review of Economics and Statistics. 99: 305-313. DOI: 10.2139/Ssrn.2429664  0.453
2017 Jun SJ, Pinkse J, Wan Y. Integrated Score Estimation Econometric Theory. 33: 1418-1456. DOI: 10.1017/S0266466616000463  0.706
2015 Jun SJ, Pinkse J, Wan Y. Classical Laplace estimation for n 3 -consistent estimators: Improved convergence rates and rate-adaptive inference Journal of Econometrics. 187: 201-216. DOI: 10.1016/J.Jeconom.2015.01.005  0.709
2015 Wan Y, Xu H. Inference in semiparametric binary response models with interval data Journal of Econometrics. 184: 347-360. DOI: 10.1016/J.Jeconom.2014.09.009  0.695
2014 Wan Y, Xu H. Semiparametric identification of binary decision games of incomplete information with correlated private signals Journal of Econometrics. 182: 235-246. DOI: 10.1016/J.Jeconom.2014.05.002  0.672
2011 Jun SJ, Pinkse J, Wan Y. N-Consistent robust integration-based estimation Journal of Multivariate Analysis. 102: 828-846. DOI: 10.1016/J.Jmva.2011.01.003  0.699
2010 Jun SJ, Pinkse J, Wan Y. A consistent nonparametric test of affiliation in auction models Journal of Econometrics. 159: 46-54. DOI: 10.1016/J.Jeconom.2010.04.006  0.616
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