Collecting data to discriminate between models of risky choice requires careful selection of decision stimuli. Models of decision making aim to predict decisions across a wide range of possible stimuli, but practical limitations force experimenters to select only a handful of them for actual...

Linear regression analysis is important in many fields. In the analysis of simulation results, a regression (meta)model can be applied, even when common pseudorandom numbers are used. To test the validity of the specified regression model, Rao (1959) generalized the F statistic for lack of fit,...

Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve desired statistical precision in queueing simulations. The formulas are intended to help in the early planning stages before any data have been collected. The queueing simulations considered are...

We evaluate the efficiency of one long run versus independent replications in steady-state discrete-event simulation, assuming that an initial portion of each replication will be deleted to allow the process to approach steady state. We provide supporting evidence in favor of one long run, but...

In this paper, we provide a quantitative approach to Frequency Domain Methodology (FDM) using harmonic analysis. For a certain class of metamodels, we give the frequency domain hypothesis and develop the corresponding hypothesis test. Minimum simulation model run length information for FDM is...

Film studios occasionally withhold movies from critics before their release. Because the unreviewed movies tend to be below average in quality, this practice provides a useful setting in which to test models of limited strategic thinking: Do moviegoers seem to realize that no review is a sign of...

We integrate a case-based model of probability judgment with prospect theory to explore asset pricing under uncertainty. Research within the "heuristics and biases" tradition suggests that probability judgments respond primarily to case-specific evidence and disregard aggregate characteristics...

The purpose of this study is to investigate the <i>use of</i> competitive compensation between a manager and a worker in the laboratory. To this end, we impose a simple agency relationship between two groups of subjects termed managers and workers. The manager chooses a compensation scheme for the...

Sequential sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the unknown performance of several alternatives before one alternative is selected as best. This paper presents new economically motivated fully sequential sampling procedures to...

This paper deals with a basic issue: How does one approach the problem of designing the "right" objective for a given resource allocation problem? The notion of what is right can be fairly nebulous; we consider two issues that we see as key: efficiency and fairness. We approach the problem of...