Hello Together,
I would like to carry out some analyses to investigate the drivers for the proportion of training places filled at company level. The values of the dependent variable are distributed as follows:
I wonder what type of analysis is suitable for this kind of distribution structure of the dependent variable.
The following options have already been tested:
Fractional response logit: depvar specified by the share of filled positions
GLM binomial response: depvar specified by number of sucesses (total_positions_filled) in a series of binomial trials (total_positions_offered)
GLM binomial response: depvar specified by the share of filled positions
Logit: depvar specified as Dummy (0 = below-average share of positions filled; 1 = above-average share of positions filled)
As I am very unsure which of the estimation methods is suitable, I would be pleased if some of you could give your thoughts on this.
Thank you very much for your help & Have a good one
I would like to carry out some analyses to investigate the drivers for the proportion of training places filled at company level. The values of the dependent variable are distributed as follows:
I wonder what type of analysis is suitable for this kind of distribution structure of the dependent variable.
The following options have already been tested:
Fractional response logit: depvar specified by the share of filled positions
Code:
fracreg logit share_positions_filled x1 x2 x2
Code:
glm total_positions_filled y x1 x2 x3, family(binomial total_positions_offered) link(logit) robust
Code:
glm share_positions_filled y x1 x2 x3, family(binomial) link(logit)
Code:
logit above_avg_positions_filled y x1 x2 x3
Thank you very much for your help & Have a good one
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