Hi everyone,

I have a logistic model to test the effect of different individual characteristics on participation in charitable giving.

My model looks like logit charity_participation i.generation sex i.income_class i.educ_level happiness char_conf marital_status i.religion

The variable of interest in generation which I have created recoded the variable from WVS:

gen generation = .
replace generation = 1 if V241 >= 1943 & V241 <= 1963
replace generation = 2 if V241 >= 1964 & V241 <= 1979
replace generation = 3 if V241 >= 1980 & V241 <= 1995
label define gencuts 1 "Baby Boomers" 2 "Generation X" 3 "Millennials"
label values generation gencuts


V241 is a variable which corresponds the birth age of the respondents.

As a result using i.generation in the logic model I can interpret the results for Generation X and Millennials related to the Baby Boomers (difference Millennials and Gen X from Baby Boomers).

My question: I would like to have 3 separate generations to interpret their variables separately (not related to base group - Baby Boomers). Should I then create instead of categorical variable separate variable for each of 3 generations? can you help with the coding in that case?


Thank you in advance.