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.

翻译：我们开发了以自动递减净投入进程模拟队列的方法和从队列长度样本中恢复这种净投入进程的特点的方法。 我们将这些方法应用于估算被审查(未满足)的队列内容需求的问题, 并展示如何在队列零线下方的邻里模拟对需求的审查。 例如, 我们根据包括最近两次衰退在内的一个时期的职位空缺样本来估计每月对美国非农业工作未满足的需求。