I am working with an (unbalanced) panel where I have conducted a fracreg logit regression of my variable of interest with covariates on outcome of interest - can also be done with glm link(logit) fam(bin).
I have 58 time periods in my main sample, but some of my covariates are only available for the last 12 or so periods. If I run the reduced sample with increased covariates I get a different coefficient (lower magnitude and significance). I have a suspicion that within my sample there is heterogeneity of the coefficient of interest over time, and I am trying to find the best way to identify that (i.e. are there particular periods where the coefficient changes, possibly direction).
Any suggestions?
I have 58 time periods in my main sample, but some of my covariates are only available for the last 12 or so periods. If I run the reduced sample with increased covariates I get a different coefficient (lower magnitude and significance). I have a suspicion that within my sample there is heterogeneity of the coefficient of interest over time, and I am trying to find the best way to identify that (i.e. are there particular periods where the coefficient changes, possibly direction).
Any suggestions?
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