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I am trying to introduce AR1 term into my models (lag of dependent variable). It is easy to do for the for the historic period which is lag(y). But I am wondering how to create it for the forecast period (it would actually be the lag of the prediction). Is ther any SAS procedure or autoreg can do this?? My data looks like:
Date Y lag(y) X1 X2
… .006 …. 12 7
Q1 2016 .005 .006 1 3
Q2 2016 .004 .005 11 7
Q3 2016 .003 .004 8 7
Q4 2016 .004 .003 10 6
Q1 2017 . .004 12 5
Q2 2017 . . 11 4
Q3 2017 . . 10 3
Q4 2017 . . 11 4
….
How do I populate lag(Y) for qtr’s Q2 2017 & beyond so that I can use it in regression??
Thanks in advance.
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Input Variables and Regression with ARMA Errors
You can use PROC ARIMA from SAS/ETS with p = 1 (AR1) along with x1 and x2 as input variables.
proc arima data=<yourdata>; identify var=y crosscorr=(x1 x2); estimate p=1 input=(x1 x2); run;
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Input Variables and Regression with ARMA Errors
You can use PROC ARIMA from SAS/ETS with p = 1 (AR1) along with x1 and x2 as input variables.
proc arima data=<yourdata>; identify var=y crosscorr=(x1 x2); estimate p=1 input=(x1 x2); run;
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You want a one period lead for Y. I like @alexchien's answer, but here is a way to get a one period lead:
data need;
merge have
have (firstobs=2 keep=y rename=(y=y_lead1));
run;
The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set
Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for
Allow PROC SORT to output multiple datasets
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