When one estimates discrete choice models, the mixed logit approach is commonly superior to simple conditional logit setups. Mixed logit models not only allow the researcher to implement difficult random components but also overcome the restrictive IIA assumption. Despite these theoretical...

When estimating discrete choice models, the mixed logit approach is commonly superior to simple conditional logit setups. Mixed logit models not only allow the researcher to implement difficult random components but also overcome the restrictive IIA assumption. Despite these theoretical...

In this paper, we describe richness, a Stata program for the calculation of richness indices. Peichl, Schaefer, and Scheicher (2007) propose a new class of richness measures to contribute to the debate how to deal with the financing problems that European welfare states face as a result of...