Ryan Whetstine 501 Statistical Literature and Problems Project Presentation

Ryan Whetstine will give a talk on the following statistical literature and problems project
in partial fulfillment of requirements for the

Master of Science in Statistics 
    
Topic:

“A Simple Parametric Model Selection Test”

This project is based on a paper titled " A Simple Parametric Model Selection Test" by authors Susanne Schennach and Daniel Wilhelm. 

We examine a simple model selection test for choosing between two parametric likelihoods in the following scenarios: both models, one, or neither are allowed to be correctly specified or misspecified. They could be nested, non-nested, strictly nested, or overlapping. No pre-testing is required, since in each case the same test statistic along with a standard normal critical value can be used. This procedure controls for asymptotic size uniformly over a large class of data-generating processes. We demonstrate the test's finite sample properties in a Monte Carlo experiment and its practical relevance in an application comparing Keynesian vs new classical macroeconomic models

Under the direction of 
Dr. Nadee Jayasena