Econometrics and empirical economics

Christian Bontemps, “Moment-based tests under parameter uncertainty”, The Review of Economics and Statistics, vol. 101, n. 1, March 2019, pp. 146–159.

Prosper Dovonon, Silvia Goncalves, Ulrich Hounyo, and Nour Meddahi, “Bootstrapping high-frequency jump tests”, Journal of the American Statistical Association, 2019, forthcoming.

Christian Gouriéroux, and Joann Jasiak, “Robust Analysis of the Martingale Hypothesis”, Econometrics and Statistics, vol. 9, January 2019, pp. 14–41.

Daniel L. Chen, “Law and Literature: Theory and Evidence on Empathy and Guile”, Review of Law and Economics, 2019.

Daniel L. Chen, Manoj Kumar, Vishal Motwani, and Philip Yeres, “Is Justice Really Blind? And Is It Also Deaf?”, Computational Analysis of Law, 2019, forthcoming.

José-Raimundo Carvalho, Thierry Magnac, and Qizhou Xiong, “College Entry and Allocation Mechanisms”, Quantitative Economics, 2019, forthcoming.

Andrea Enache, and Jean-Pierre Florens, “Identification and Estimation in a Third-Price Auction Model”, Econometric Theory, 2019, forthcoming.

Elliott Ash, and Daniel L. Chen, “Judge Embeddings: Vector Representations of Legal Belief”, Computational Analysis of Law, 2019, forthcoming.

Daniel L. Chen, Xing Cui, Lanyu Shang, and Junchao Zheng, “What Matters: Agreement Between U.S. Courts of Appeals Judges”, Journal of Machine Learning Research, 2019, forthcoming.

Jean-Pierre Florens, Léopold Simar, and Ingrid Van Keilegom, “Estimation of the Boundary of a Variable Observed with A Symmetric Error”, Journal of the American Statistical Association, 2019, forthcoming.