In this paper, we propose a new criterion for selecting efficient conjoint choice designs when the interest is in quantifying willingness to pay (WTP).The new criterion, which we call the WTP-optimality criterion, is based on the c-optimality criterion which is often used in the optimal experimental design literature. We use a simulation study to evaluate the designs generated using the WTP-optimality criterion and discuss the design of a real-life conjoint experiment from the literature. The results show that the new criterion leads to designs that yield more precise estimates of the WTP than Bayesian D-optimal conjoint choice designs, which are increasingly being seen as the state-of-the-art designs for conjoint choice studies, and to a s...
Recently, the use of Bayesian optimal designs for discrete choice experiments, also called stated ch...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Bayesian design theory applied to nonlinear models is a promising route to cope with the problem of ...
In this paper, we propose a new criterion for selecting efficient conjoint choice designs when the i...
To measure the willingness-to-pay (WTP) accurately, Vermeulen et al.[2008] apply the c-optimality cr...
To measure the willingness-to-pay (WTP) accurately, Vermeulen et al.[2008] apply the c-optimality cr...
The concept of willingness-to-pay (WTP) has attracted the attention of marketeers because of its use...
We apply a design efficiency criterion to construct conjoint choice experiments specifically focused...
Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the...
The increasing consideration of behavioral aspects in operations management models has prompted grea...
The increasing consideration of behavioral aspects in operations management models has prompted grea...
In this article, we investigate the effect of several commonly used experimental designs on willingn...
Abstract: We propose an efficient individually adapted sequential Bayesian approach for constructing...
Conjoint choice experiments have become a powerful tool to explore individual preferences. The consi...
textabstractPrevious conjoint choice design construction procedures have produced a single design th...
Recently, the use of Bayesian optimal designs for discrete choice experiments, also called stated ch...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Bayesian design theory applied to nonlinear models is a promising route to cope with the problem of ...
In this paper, we propose a new criterion for selecting efficient conjoint choice designs when the i...
To measure the willingness-to-pay (WTP) accurately, Vermeulen et al.[2008] apply the c-optimality cr...
To measure the willingness-to-pay (WTP) accurately, Vermeulen et al.[2008] apply the c-optimality cr...
The concept of willingness-to-pay (WTP) has attracted the attention of marketeers because of its use...
We apply a design efficiency criterion to construct conjoint choice experiments specifically focused...
Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the...
The increasing consideration of behavioral aspects in operations management models has prompted grea...
The increasing consideration of behavioral aspects in operations management models has prompted grea...
In this article, we investigate the effect of several commonly used experimental designs on willingn...
Abstract: We propose an efficient individually adapted sequential Bayesian approach for constructing...
Conjoint choice experiments have become a powerful tool to explore individual preferences. The consi...
textabstractPrevious conjoint choice design construction procedures have produced a single design th...
Recently, the use of Bayesian optimal designs for discrete choice experiments, also called stated ch...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Bayesian design theory applied to nonlinear models is a promising route to cope with the problem of ...