Hi!
I am, Stephen Angudubo, new to that statalist forum and Stata but working hard to get used to the software
I implementing a discrete choice experiment to model cassava planting material alternative choice. In my questionnaire, I presented each respondents with 16 choice experiments or choice sets with each choice set having 2 alternatives or choices with an opt-out option. The explanatory variables are the attributes (11 in total) of cassava planting material with varying attribute levels that have randomly fitted between 2 alternative. With this, I am fitting a conditional logit model. In my data set, some explanatory variables are represent by dummy variables while others were categorical variables with up-to 3 categories.
Since each choice experiment has 2 alternative options and an opt-out option, each choice set has 11 rows and each respondent was presented with 16 choice sets.
Sample data input byte(Choice Yield Distol Rtas Ctas Mealns Mat Seedva)
1 3 1 1 1 2 3 2
0 3 1 1 1 1 2 3
0 1 0 0 1 3 3 2
1 1 1 0 1 3 3 2
1 3 1 1 1 2 3 1
0 3 1 1 1 1 2 2
0 2 0 1 0 1 2 1
1 3 0 1 1 1 2 3
0 3 0 1 1 1 3 2
1 3 0 1 1 3 3 2
1 2 1 0 1 3 3 2
0 2 0 0 1 3 3 2
0 3 0 0 0 1 3 1
1 3 0 1 0 1 3 1
0 2 1 0 0 3 2 1
0 2 1 0 0 1 2 1
0 2 1 0 0 3 1 3
1 2 0 0 0 3 3 3
1 1 1 0 1 2 2 1
0 3 1 0 1 1 3 1
0 3 0 1 0 2 1 1
1 2 0 1 0 2 3 3
1 1 1 0 0 2 2 2
0 1 1 0 0 2 2 3
0 3 0 0 0 3 2 3
1 2 0 0 1 3 2 1
0 2 0 1 1 2 2 2
0 1 0 1 1 1 3 2
0 2 0 0 1 3 1 3
1 2 0 1 1 3 1 3
1 2 1 0 1 1 1 3
0 3 1 0 1 1 2 1
For clogit to work, I tried select choice set as the grouping variable but stata shows "variable Choiceset has replicate levels for one or more cases".
clogit choice Yield Distol Rtas Ctas Mealnss Mat Seedava , group(Choice_set )
I want to establish the attributes preferred by the respondents including the level and later determine the willingness-to-pay and potential demand,
Can someone clarify for me this?
I am, Stephen Angudubo, new to that statalist forum and Stata but working hard to get used to the software
I implementing a discrete choice experiment to model cassava planting material alternative choice. In my questionnaire, I presented each respondents with 16 choice experiments or choice sets with each choice set having 2 alternatives or choices with an opt-out option. The explanatory variables are the attributes (11 in total) of cassava planting material with varying attribute levels that have randomly fitted between 2 alternative. With this, I am fitting a conditional logit model. In my data set, some explanatory variables are represent by dummy variables while others were categorical variables with up-to 3 categories.
Since each choice experiment has 2 alternative options and an opt-out option, each choice set has 11 rows and each respondent was presented with 16 choice sets.
Sample data input byte(Choice Yield Distol Rtas Ctas Mealns Mat Seedva)
1 3 1 1 1 2 3 2
0 3 1 1 1 1 2 3
0 1 0 0 1 3 3 2
1 1 1 0 1 3 3 2
1 3 1 1 1 2 3 1
0 3 1 1 1 1 2 2
0 2 0 1 0 1 2 1
1 3 0 1 1 1 2 3
0 3 0 1 1 1 3 2
1 3 0 1 1 3 3 2
1 2 1 0 1 3 3 2
0 2 0 0 1 3 3 2
0 3 0 0 0 1 3 1
1 3 0 1 0 1 3 1
0 2 1 0 0 3 2 1
0 2 1 0 0 1 2 1
0 2 1 0 0 3 1 3
1 2 0 0 0 3 3 3
1 1 1 0 1 2 2 1
0 3 1 0 1 1 3 1
0 3 0 1 0 2 1 1
1 2 0 1 0 2 3 3
1 1 1 0 0 2 2 2
0 1 1 0 0 2 2 3
0 3 0 0 0 3 2 3
1 2 0 0 1 3 2 1
0 2 0 1 1 2 2 2
0 1 0 1 1 1 3 2
0 2 0 0 1 3 1 3
1 2 0 1 1 3 1 3
1 2 1 0 1 1 1 3
0 3 1 0 1 1 2 1
For clogit to work, I tried select choice set as the grouping variable but stata shows "variable Choiceset has replicate levels for one or more cases".
clogit choice Yield Distol Rtas Ctas Mealnss Mat Seedava , group(Choice_set )
I want to establish the attributes preferred by the respondents including the level and later determine the willingness-to-pay and potential demand,
Can someone clarify for me this?
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