Testing predictive performance of binary choice models
Binary choice models occur frequently in economic modeling. A measure of the predictive performance of binary choice models that is often reported is the hit rate of a model. This paper develops a test for the outperformance of a predictor for binary outcomes over a naive prediction method, which predicts the outcome that is most often observed. This is done for a general class of prediction models, including the well known Probit and Logit models. In many cases the test is easy to compute. The test is then applied and compared to a general test of Pesaran and Timmermann (1992) for dependence between predictors and realizations.
|Keywords||Binary choice, Marketing, Predictive performance, Testing|
Donkers, B., & Melenberg, B.. (2002). Testing predictive performance of binary choice models (No. EI 2002-01). Retrieved from http://hdl.handle.net/1765/586