Hello,

I've got a variable, AGE, which in my data set is given in buckets. Meaning someone with AGE=1 is 16-24 and someone with AGE=2 is 25-34 and so on. For the purpose of my study I had to make an assumption about people's ages as assign them a specific age rather than within a bucket. I did this is two ways. Either I made everyone the oldest age in the bucket, meaning everyone with AGE=1 was now 24 OR I also randomly assigned people an age within the bucket.

My regression results are significant for both, but very different results. I assume that I need to include this measurement error in my regression, however not sure how to go about doing this. Hope I have provided enough information.

Thank you