proc glm with categorical variables

[GKati]

Hello, 

I'm trying to run a Proc GLM with categorical variables (year and age-groups). I would like to see the interaction of each year and each age-group (plus female, etc.) explicitly WITHOUT having to create dummy variables for each year, as this would make my model very cumbersome. 

Indicating year and age_gr in a CLASS statement works well with PROC logistic on the same model. I get individual coefficients for year=2010  to year=2013, but this does not work with Proc GLM and I get one coefficient for the year variable only.

What am I doing wrong?

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proc logistic data=data_predict descending;

class year age_gr;

model treated=contract|year|age|female;

run;

proc glm data=data_predict;

class year age_gr;

model prob_score=contract|year|age_gr|female;

run;

[WarrenKuhfeld · Accepted solution]

See if specifying this at the end of your MODEL statement does what you want: / SOLUTION;