In the social sciences, it is often useful to introduce latent variables and use structural equation modeling to quantify relations among observable and latent variables. This paper presents a manual, describing how to estimate structural equation models in a Bayesian approach with R. Parameter...

Distributional assumptions for random utility models play an important role in relating observed product attributes to choice probabilities. Choice probabilities derived with independent errors have the IIA property, which often does not match consumer behavior and leads to inaccurate source of...

The random coefficients logit model is a workhorse in marketing and empirical industrial organizations research. When only aggregate data are available, it is customary to calibrate the model based on market shares as data input, even if the data are available in the form of aggregate counts....