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Granger causality test
3 
Definition: 
Xt is said not to Granger-cause Yt if for all h > o 
F(Yt+hSt) = F(yt+hSt − Xt) 
where F denotes the conditional distribution and 
St− Xt is all the information in 
the universe except series Xt. In plain words, Xt is 
said to not Granger-cause Yt if 
X cannot help predict future Y.
Assumptions: 
1…The future cannot cause the past.The past 
causes the present or future. 
2… A cause contains unique information about an 
effect not available elsewhere.
Method: 
Open Eviews 
Select (File-New-Workfile) 
New window with the name of (Work File creat) 
will open select option work file structure type 
dated data. 
Select option for data description Annual. 
Start data…….1979 
End data…….2010 
Click OK. 
New work file is creat.Past the data.Click View and 
then select the Granger Causality Test and write 
the lag number and then Click on OK.
Results: 
 Pairwise Granger Causality Tests 
 Date: 04/10/15 Time: 21:26 
 Sample: 1979 2010 
 Lags: 3 
Null Hypothesis obs F-statistic Prob. 
LCPI does not Granger 29 2.31563 0.1037 
Cause LPGDP 
LPGDP does not Granger 1.70853 0.1944 
Cause LCPI
Interpretation: 
 LCPI does not Granger Cause LPGDP 
 This Hypothesis is accept because its probability 
(0.1037) is greater than 0.05.Its mean that 
LPGDP Granger Cause LCPI. 
 LPGDP does not Granger Cause LCPI 
 This Hypothesis is accept because its probability 
(0.1944) is greater than 0.05.Its mean that LCPI 
Granger Cause LPGDP.
References: 
1--- www.Economics.com 
2---Applied Economics by 
Esterio and Stephen G.
Granger causality test
Granger causality test

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Granger causality test

  • 3. 3 Definition: Xt is said not to Granger-cause Yt if for all h > o F(Yt+hSt) = F(yt+hSt − Xt) where F denotes the conditional distribution and St− Xt is all the information in the universe except series Xt. In plain words, Xt is said to not Granger-cause Yt if X cannot help predict future Y.
  • 4. Assumptions: 1…The future cannot cause the past.The past causes the present or future. 2… A cause contains unique information about an effect not available elsewhere.
  • 5. Method: Open Eviews Select (File-New-Workfile) New window with the name of (Work File creat) will open select option work file structure type dated data. Select option for data description Annual. Start data…….1979 End data…….2010 Click OK. New work file is creat.Past the data.Click View and then select the Granger Causality Test and write the lag number and then Click on OK.
  • 6. Results:  Pairwise Granger Causality Tests  Date: 04/10/15 Time: 21:26  Sample: 1979 2010  Lags: 3 Null Hypothesis obs F-statistic Prob. LCPI does not Granger 29 2.31563 0.1037 Cause LPGDP LPGDP does not Granger 1.70853 0.1944 Cause LCPI
  • 7. Interpretation:  LCPI does not Granger Cause LPGDP  This Hypothesis is accept because its probability (0.1037) is greater than 0.05.Its mean that LPGDP Granger Cause LCPI.  LPGDP does not Granger Cause LCPI  This Hypothesis is accept because its probability (0.1944) is greater than 0.05.Its mean that LCPI Granger Cause LPGDP.
  • 8. References: 1--- www.Economics.com 2---Applied Economics by Esterio and Stephen G.