May Reading List

Dave Giles (noreply@blogger.com)
Here's a selection of suggested reading for this month: Athey, S. & G. W. Imbens , 2019. Machine learning methods economists should know about. Mimeo. Bhagwat, P. & E. Marchand, 2019. On a proper Bayes but inadmissible estimator. American Statistician , online. Canals, C. & A. Canals , 2019. When is n large enough? Looking for the right sample size to estimate proportions. Journal of Statistical Computation and Simulation , 89, 1887-1898. Cavaliere, G. & A. Rahbek , 2019. A primer on bootstrap t