Discrete choice models are used to investigate the individual’s choice among a discrete number of alternatives. The characteristics of each alternative, by means of a multinomial and nested multinomial models have been taken into account. Specifically, this study analyses the impact of choice...

Discrete choice models are used to investigate the individual's choice among a discrete number of alternatives. The characteristics of each alternative, by means of a multinomial and nested multinomial models have been taken into account. Specifically, this study analyses the impact of choice...

This paper proposes a nested model, based on an additive random utility model, to analyze whether pension wealth and pension cost affect the probability that a worker affiliates to a pension program, and to observe differentiated effects regarding the nature of the pension system (pay-as-you-go...

Discrete choice models are used to investigate the individual’s choice among a discrete number of alternatives. The characteristics of each alternative, by means of a multinomial and nested multinomial models have been taken into account. Specifically, this study analyses the impact of choice...

The specification of prior parameters is a common practical problem when implementing Bayesian approaches to portfolio optimization. The precision parameter of the prior on the expected asset returns reflects the confidence of the investor in the prior knowledge. Within the framework of the...