Regression trees are evaluated with respect to mean square error (MSE), mean integrated square error (MISE), and integrated squared error (ISE), as the size of the training sample goes to infinity. The asymptotically MSE- and MISE minimizing (locally adaptive) regression trees are characterized....

This dissertation presents four independent papers that advance experimental methods and test theories on saving using experimentally elicited characteristics. The first two papers test two behavioral theories on precautionary saving based on the characteristics loss aversion and prudence by...