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SJK_KOR
Calcite | Level 5

The Y variable is accumulated data.

 

I am trying to use differencing method using PROC PANEL or PROC HPPANEL procedure to analyse annually panel data by one-way random effect model.

 

I found out that differencing method can be used by PROC ARIMA. However, i would like to use PANEL or HPPANEL procedure.

 

 

4 REPLIES 4
SteveDenham
Jade | Level 19

I don't know what your MODEL statement looks like, but the FDONE option for the model statement does a one-way fixed effects fit to the differences and FDONETIME does a one-way fixed effects fit to the differences in time.  These are available in PANEL but not HPPANEL, so far as I can tell.

 

SteveDenham

SJK_KOR
Calcite | Level 5

Thanks for reply!

 

I was using RANONE and WK option to use One-way random effect.

 

Are FDONE or FDONETIME for one-way random effect? My model is cross sectional time series with one-way random effect.

 

SteveDenham
Jade | Level 19

It doesn't appear that this applies to a one-way random effects model.

 

However, I think you can get what you want in a 3 step process.  PANEL supports a variety of LAG functions.  What about:

Run PROC PANEL with the appropriate LAG and output the dataset.  No MODEL statement in this run.

In a DATA step, calculate the differenced values using the original value and the lagged value in this output dataset.

Run PROC PANEL with a RANONE option for the MODEL statement on the differenced values.

 

Now, I have never done this, so take it with a great big shovel of salt.  However, the LAG statement in PROC PANEL says that it is capable of handling panel data correctly.  It would then be a matter of selecting the right version of the LAG statement to handle missing values.

 

SteveDenham

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