We study two random choice models that explain behavioural patterns suggesting that the outside option is often chosen by decision makers who find it hard to decide between the otherwise desirable market alternatives available to them. The decision-conflict logit extends the logit model with an...

This study seeks to answer whether it is possible to design an early warning system framework that can signal the risk of fiscal stress in the near future, and what shape such a system should take. To do so, multiple models based on econometric logit and the random forest models are designed and...

We provide two characterizations, one axiomatic and the other neuro-computational, of the dependence of choice probabilities on deadlines in the softmax form, with time independent utility function, time dependent noise parameter, that measures the unit cost of information, and...

This note discusses the application of segmented multinomial logit models (MNL) for the analysis of discrete choice experiments. It is shown how the segmentation can be achieved by relying on the model-based recursive partitioning framework and how it can be carried out in R. The approach is...

The paper investigates the effects of nursing overtime on nosocomial infections and medical accidents in a neonatal intensive care unit (NICU). The literature lacks clear evidence on this issue and we conjecture that this may be due to empirical and methodological factors. We thus focus on a...

The main contribution of this paper resides in proposing a novel approximate dynamic programming approach for capacitated assortment optimization under the Nested Logit model in its utmost generality. Specifically, we show that the optimal revenue can be efficiently approached within any degree...

Although typically overlooked, many purchase datasets exhibit a high incidence of products with zero sales. We propose a new estimator for the Random-Coefficients Logit demand system for purchase datasets with zero-valued market shares. The identification of the demand parameters is based on a...

This paper builds on Bonhomme (2012) to develop a method to systematically construct moment conditions for dynamic panel data logit models with fixed effects. After introducing the moment conditions obtained in this way, we explore their implications for identification and estimation of the...