I have a dataset in which I observe heights (inches) and weights (pounds) of participants. It is implicitly understood that participants are partially selected based on meeting unspoken height and weight thresholds, but I do not observe any official thresholds, and I do not directly observe people who do not participate in the dataset. What I do observe is the lowest height and weight in each time period.
I want to see if height and weight affect continuous outcomes of interest while accounting for selection bias. What is the appropriate way to implement a Heckman selection model in stata, given that everyone in the sample would have a binary participation variable equal to 1?
I can give more information if necessary, but am mostly seeking to see if I am able to approach this with Heckman selection, since it doesn't feel like the classic labor supply issue the model originally addressed.
Thank you!
I want to see if height and weight affect continuous outcomes of interest while accounting for selection bias. What is the appropriate way to implement a Heckman selection model in stata, given that everyone in the sample would have a binary participation variable equal to 1?
I can give more information if necessary, but am mostly seeking to see if I am able to approach this with Heckman selection, since it doesn't feel like the classic labor supply issue the model originally addressed.
Thank you!
