  We develop methods for simulating a queue with an autoregressive net-input
process and for recovering characteristics of such a net-input process from
samples of queue lengths. We apply these methods to the problem of estimating
the censored (unsatisfied) demand for the queue's content and show how to model
a queue for which the censoring of demand is graduated in a neighborhood of the
queue's zero lower bound. As an example, we estimate the monthly unsatisfied
demand for U.S. nonfarm jobs based on samples of job openings through a period
including the last two recessions.
