The scheduling problem faced by a firm (or by a government agency) that is responsible for providing transportation to tourists who would like to visit a particular location has received scant theoretical attention in the tourism literature. Therefore, we conduct a probabilistic analysis of the...

A firm providing transport to tourists can do so at fixed points in time (scheduling by time). Alternately, it can wait for a certain minimal number of tourists to arrive before it provides transport (scheduling by numbers). This “how to schedule” problem confronts all providers of transport...

A firm providing transport to tourists can do so at fixed points in time (scheduling by time). Alternately, it can wait for a certain minimal number of tourists to arrive before it provides transport (scheduling by numbers). This how to schedule problem confronts all providers of transport to...

This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be arbitrarily correlated with covariates. The model is of the exponential type. We derive moment conditions that enable us to eliminate the unobserved heterogeneity term and at the same...

Most dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy tailed distributions. We show that the recently proposed MAVE and OPG methods by Xia et al. (2002) allow us to make them robust in a relatively straightforward way...

Haavelmo's seminal 1943 paper is the first rigorous treatment of causality. In it, he distinguished the definition of causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that assign variation to some of the inputs determining...

This paper examines the correlated random coefficient model. It extends the analysis of Swamy (1971, 1974), who pioneered the uncorrelated random coefficient model in economics. We develop the properties of the correlated random coefficient model and derive a new representation of the variance...

This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization we mean that treatment status is reassigned after an initial randomization on the basis of...