Hi SAS Friends,
I have a dataset with yearly household change from 2004 to 2013 by county. I want to interpolate the data into quarterly data. any suggestions on which method (spline,notaknot, natural, slope, step, aggregate, join etc.) to use?
a colleague also suggested that i could solve this using Proc Mixed. He indicated that i could run a regression for each county and get the slope and intercept. any ideas how to do that?
Thank you for your help,
sample data:
data sample;
input county $5. COUNTY_NAME $18. ref_year $6. YoY_Chg best12.;
cards;
01001 Autauga County c0405 0.0231
01001 Autauga County c0506 0.0299
01001 Autauga County c0607 0.0284
01001 Autauga County c0708 0.0295
01001 Autauga County c0809 0.0013
01001 Autauga County c0910 0.0022
01001 Autauga County c1011 0.0173
01001 Autauga County c1112 0.0494
01001 Autauga County c1213 0.0002
01001 Autauga County c1314 -0.0024
01003 Baldwin County c0405 0.0334
01003 Baldwin County c0506 0.0451
01003 Baldwin County c0607 0.0439
01003 Baldwin County c0708 0.0589
01003 Baldwin County c0809 -0.0038
01003 Baldwin County c0910 0.0068
01003 Baldwin County c1011 0.0383
01003 Baldwin County c1112 0.0147
01003 Baldwin County c1213 0.0082
01003 Baldwin County c1314 0.0253
;
run;