Comstock Hall
Ithaca, NY 14853
United States
Cornell University - Law School
SSRN RANKINGS
in Total Papers Downloads
in Total Papers Citations
death penalty, capital punishment, race, juries, judges
punitive damages, juries, judges
punitive damages, litigation, juries, tort
law reviews, law journals, ranking, ranking methodology, factor analysis, journal citation reports, jcr
merger, bankruptcy, accounting
Punitive Damages, Tort, Empirical Studies
Pain and suffering damages, medical expenses, anchoring effect, lost earning capacity, fault, age, pecuniary damages, non-medical expenses, judges, juries, Taiwan
Asset pricing models, AMF model, GIBS algorithm, high-dimensional statistics, machine learning
Low-volatility anomaly, AMF model, GIBS algorithm, high-dimensional statistics, machine learning, False Discovery Rate.
punitive damages, juries, trials, litigation
preemption, statins, FDA
juries, census, trials, damages
market microstructure, interpretable machine learning, artificial intelligence in finance, prototype clustering, high-dimensional statistics, dimension reduction
Jurors, death penalty, Jury Pool, Supreme Court, Equal Protection Clause, Fourteenth Amendment, Disparate Questioning, Discrimination
Mathematical Methods, Convolutional Neural Networks, Financial Markets and the Macroeconomy, Price Impact, Information Content of Trades, Transaction Cost Analysis, Information and Market Efficiency, Event Studies, Insider Trading
algorithmic bias, bias correction, EM algorithm, identification, label switching, MCMC, noisy labels, sensitivity, specificity, racial disparities, risk assessment
Court, litigation, empirical, docket
Clustering Algorithms, time series, ARMA Models, Ljung Box Test
Criminal Cases, judge-jury agreement, juries, judges, adjucator
Asset pricing, Adaptive Multi-Factor model, GIBS algorithm, high-dimensional statistics, machine learning.
G12, C11, C15, C32
punitive damages, regression
Legal substance, common law, civil law, legal origin, average-linkage clustering, sparse linear discriminant analysis (LDA)
