This paper conducts a Monte Carlo analysis of the size and power properties of combining choice set partition tests of the IIA property of the Logit model. On the basis of this comparison we recommend that applied researchers testing for IIA calculate all versions of the McFadden, Train and Tye...

This paper conducts a Monte Carlo analysis of the size properties of combining choice set partition tests of the independence of irrelevant alternatives property in the Logit model in the four alternatives setting. Most of the tests have poor size properties. The exception is a version of the...

Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of bandwidth rather than the kernel function....

Several studies advocating safety first as a major concern to investors propose downside beta risk as an alternative to the traditional systematic risk-beta. Downside measures are concerned with a subset of the data and therefore the results in the studies that consider the downside beta only...