In this paper we analyze the decision of "working" versus "not working" within a discrete choice framework, where number of available jobs is confined and related to individual characteristics. In this way the market constraint from the demand side is taken into account. We also accommodate the...

We use household-level data from the Household Budgetary Survey to study the saving patterns of Maltese households. We first establish a set of key observations from the data, showing that the likelihood of saving rises with income, age and education. We then estimate a Logit model of the...

It is well understood that the two most popular empirical models of location choice - conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The...

In this paper, distinguishing between the choice of the worker and the choice of the firm, we provide a probabilistic evaluation of the transition from temporary to permanent employment in a regional context. Estimating a Multinomial Nested Logit Model, we found that the transition to a...

This paper extends existing work on labor force participation dynamics by distinguishing between full-time and part-time employment and allowing unobserved heterogeneity in the effects of previous employment outcomes, children and education on employment dynamics. The results reveal significant...

The paper compares different estimation strategies of ordered response models in the presence of non-random unobserved heterogeneity. By running Monte Carlo simulations with a range of randomly generated panel data of differing crosssectional and longitudinal dimension sizes we assess the...

We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discretechoice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...

The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin tails or no tails. Thus the model is much richer than the traditional models that are typically used to study behavior that generates discrete choice outcomes. Pregibit nests...

It is a common finding in empirical discrete choice studies that the estimated mean relative values of the coefficients (i.e. WTP's) from multinomial logit (MNL) estimations differ from those calculated using mixed logit estimations, where the mixed logit has the better statistical fit. However,...

Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have no closed-form expression. They include...