choice-metrics.com

Good evening, I have got three questions:

1) Can we have both contingent valuation models [like eg. double bounded dichotomous choice or payment vehicle method] with a discrete choice experiment? Where the first DBDC method tries to know the wtp for only one attribute out of the 5 attributes in the next choice experiment. But with screening questions with slightly separate scenario descriptions. Will doing this influence the choice experiment ? Is it allowed?
2)If not or if other than DBDC type models, you have recommendation of some better alternative methods for doing a wtp study that can be used before choice experiment or simultaneously with it? to be used

3)Can we do such a DBDC study using NGENE and Survey engine? Or are they suited only for DCE?

Thank you so much for your reply.

I am not familiar with DBDC but from reading: '"For double-bounded dichotomous choice CVM, respondents are asked whether they are willing to pay or not at presented price. If a respondent accepts to pay the price, the higher price is displayed next. If a respondent rejects to pay the price, the lower price is displayed."
If this is the case, then there is no underlying experimental design as the price level simply goes up or down based on the previous response. Therefore, Ngene would not be needed. SurveyEngine is a general survey tool so you should be able to use it for DBDC.

You are allowed to do anything, but you indeed need to consider the influence on the choice experiment. You could consider segmenting your population, some get DBDC before the choice experiment and some after, so that you can test any influence.

In my domain (transport), contingent valuation is not really accepted as a valid method for eliciting willingness-to-pay, so it is hardly used, but it may be different in your field.

Michiel