Hello,
I have a question about my LPM model.
I have performed a cumulative representation of my regression using nestreg. Now I would like to show how the quality of the model changes after each new regressor.
local y "ib(freq).education ib(freq).region ib(freq).civsta ib(freq).health male female Chronic_illness No_Chronic_illness Smoke not_Smoke age working_hoursPw household_size activePw food "
regress Overweight `y' ib(freq).incomeq, cluster(idpers)
Since the R2 is unsuitable, I wonder what possibilities there are to show the change in quality. I can't find a suitable scale for measuring accuracy, for an LPM. are Adjusted R-squared or Pseudo-R suitable? if so, how could I compare them?
Can you help me?
I have a question about my LPM model.
I have performed a cumulative representation of my regression using nestreg. Now I would like to show how the quality of the model changes after each new regressor.
local y "ib(freq).education ib(freq).region ib(freq).civsta ib(freq).health male female Chronic_illness No_Chronic_illness Smoke not_Smoke age working_hoursPw household_size activePw food "
regress Overweight `y' ib(freq).incomeq, cluster(idpers)
Since the R2 is unsuitable, I wonder what possibilities there are to show the change in quality. I can't find a suitable scale for measuring accuracy, for an LPM. are Adjusted R-squared or Pseudo-R suitable? if so, how could I compare them?
Can you help me?
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