For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design assumption we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the assumed linear regression model. It is...

Classical regression analysis is usually performed in two steps. In a first step an appropriate model is identified to describe the data generating process and in a second step statistical inference is performed in the identified model. An intuitively appealing approach to the design of...

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...