We show how to combine statistically efficient ways to design discrete choice experiments based on random utility theory with new ways of collecting additional information that can be used to expand the amount of available choice information for modeling the choices of individual decision makers. Here we limit ourselves to problems involving generic choice options and linear and additive indire...

1 The stated choice (SC) experiment is generally regarded as an effective way to obtain data for 2 discrete choice analysis. The SC experimental design method, which determines the rule to allocate 3 different levels for each attribute in choice situations, will have a great impact on parameter 4 estimation. The optimal orthogonal choice (OOC) design is one of the most efficient SC designs, by ...

Numerous studies have demonstrated that firms consider multiple criteria when selecting key suppliers. In this study, we present, based on econometric choice modeling framework, how manufacturing managers/executives tradeoff between cost, delivery, flexibility, and service features in the supplier selection process, given acceptable quality. Empirical data for this study was collected from manu...

A often rely on methods that presume constant stochastic variance, even though its degree can differ markedly across experimental and field settings. This reliance can lead to misestimation of effect sizes or unjustified theoretical or behavioral inferences. Classic utility-based discrete-choice theory makes sharp, testable predictions about how observed choice patterns should change when stoch...

background due to the importance and uniqueness of the characteristics of the health sector, one of the most important priorities of the ministry of health is measuring the efficiency and quality of services which are provided for the people who refer to the health sectors. in all health systems, responding to the needs and wishes of patients is a crucial priority. objectives the main purpose o...