We examine the finite sample properties of the maximum likelihood estimator for the binary logit model with random covariates. Analytic expressions for the first-order bias and second-order mean squared error function for the maximum likelihood estimator in this model are derived, and we...

Econometrics is the area of statistics concerned in analyzing economic data, for both economic and business applications. This document, introduces the intermediate concepts of this area, for students already familiarized with basic econometric theory. In particular, topics concerning...

This research aims to present the results obtained from the analysis of neighborhoods ranking in the metropolitan areas with more than 100,000 inhabitants. Using data from the American Housing Survey for the year 2000, we estimate an ordered logit model to explain the neighborhood quality...

En los ultimos años se ha creado la necesidad de construir indicadores que midan la liquidez, rentabilidad y endeudamiento de las compañías ecuatorianas, con el objetivo de tener un marco de referencia respecto a la toma de decisiones de inversión y financiamiento. La presente investigación...

In many service industries the speed of service and support by experienced employees are two major drivers of service quality. When demand for a service is variable and the staffing requirements cannot be adjusted quickly, choosing capacity levels requires making a trade-off between service...

Consumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of waiting time (e.g., in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may...

Different objectives such as category demand expansion or market share stealing warrant the use of different marketing instruments. To help brand managers make informed decisions, it is essential that marketing mix models appropriately measure their effects. Random Utility Models (RUM) that have...

We examine the finite sample properties of the MLE for the Logit model with random covariates. We derive the second order bias and MSE function for the MLE in this model, and undertake some numerical evaluations to illustrate the analytic results. From these numerical results we find, for...

This paper suggests a method of decomposing differences in inter-group probabilities from a logit model and shows how it can be related to similar decompositions derived from a Oaxaca-Blinder framework. In so doing, it offers a solution to a problem, embedded within the Oaxaca-Blinder...

This pdf contains a do file that shows how to estimate a latent class discrete choice panel data model in Stata via Maximum Likelihood and an EM algorithm.