Hi,
We have a question regarding how to construct reference groups based on age, gender, country and education. We would like every individual in our sample to belong to only one reference group. The idea is to compare the net worth (nw) of one individual to the average net worth in the reference group of the individual. However, we are not interested in every reference group, only if relative comparisons matter. Thus, creating one dummy for each reference group will not solve this problem as we know it.
A basic version of the model we would like to estimate looks as follows: yit = a + b(nw_it - nw_ReferenceGroupAverage) + controls
Any help would be appreciated.
Best,
Sofia Nyström and Andrea Berggren
We have a question regarding how to construct reference groups based on age, gender, country and education. We would like every individual in our sample to belong to only one reference group. The idea is to compare the net worth (nw) of one individual to the average net worth in the reference group of the individual. However, we are not interested in every reference group, only if relative comparisons matter. Thus, creating one dummy for each reference group will not solve this problem as we know it.
A basic version of the model we would like to estimate looks as follows: yit = a + b(nw_it - nw_ReferenceGroupAverage) + controls
Any help would be appreciated.
Best,
Sofia Nyström and Andrea Berggren
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