We consider an extension of the classical secretary problem where a decision maker observes only the relative ranks of a sequence of up to N applicants, whose true values are i.i.d. U[0,1] random variables. Applicants arrive according to a homogeneous Poisson Process, and the decision maker...

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward) stochastic calculus, we characterize the value function as the smallest (nonlinear) supermartingale dominating the payoff process. For Markovian models, we derive an adjusted...

We model and solve Best Choice Problems in the multiple prior framework: An ambiguity averse decision maker aims to choose the best among a fixed number of applicants that appear sequentially in a random order. The decision faces ambiguity about the probability that a candidate - a relatively...

We consider optimal stopping problems for ambiguity averse decision makers with multiple priors. In general, backward induction fails. If, however, the class of priors is time-consistent, we establish a generalization of the classical theory of optimal stopping. To this end, we develop first...

The first essay developed a respondent model of Bayesian updating for a double-bound dichotomous choice (DB-DC) contingent valuation methodology. I demonstrated by way of data simulations that current DB-DC identifications of true willingness-to-pay (WTP) may often fail given this respondent...

En la cub: "Revised version: September 2015" ; En este trabajo investigamos la interacción entre estabilidad de precios y sostenibilidad de la deuda soberana en el marco de un modelo de pequeña economía abierta, en la cual el gobierno emite deuda nominal y elige la política fi scal y...

There is increasing agreement that understanding complexity is important for project management because of difficulties associated with decision-making and goal attainment which appear to stem from complexity. However the current operational definitions of complex projects, based upon size and...

Statistical Activity Cost Theory (SACT) is an axiomatic and statistical theory of basic accounting measurement practice. The aim of the SACT analysis, among others, is to determine the statistical nature of both the physical production system of an accounting entity and its related costs, which...