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2. Overview. - PROC VARMAX estimates model parameters and generates forecasts associated with Vector AutoRegressive and Moving Average processes with eXogenous regressors (VARMAX) models.- The AR and MA orders can be user-specified or automatically determined by various criteria* Akaike
                
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1. 1 
2. 2 Overview 
3. 3 Overview 
4. 4 Overview 
5. 5 Overview 
6. 6 Getting Started -           Vector Autoregressive Process 
7. 7 Getting Started -           Vector Autoregressive Process 
8. 8 Getting Started -           Vector Autoregressive Process 
9. 9 Getting Started -           Vector Autoregressive Process 
10. 10 Getting Started -           Vector Autoregressive Process 
11. 11 Getting Started -           Vector Autoregressive Process 
12. 12 Getting Started -           Vector Autoregressive Process 
13. 13 Getting Started -           Vector Autoregressive Process 
14. 14 Getting Started -           Vector Autoregressive Process 
15. 15 Getting Started -           Bayesian Vector Autoregressive Process 
16. 16 Getting Started -           Bayesian Vector Autoregressive Process 
17. 17 Getting Started -  	Vector Error Correction Model 
18. 18 Getting Started -  	Vector Error Correction Model 
19. 19 Getting Started -  	Vector Error Correction Model 
20. 20 Getting Started -  	Vector Error Correction Model 
21. 21 Getting Started -  	Vector Error Correction Model 
22. 22 Getting Started -  	Vector Error Correction Model 
23. 23 Getting Started -  	Vector Error Correction Model 
24. 24 Getting Started -  	Vector Error Correction Model 
25. 25 Getting Started -  	Vector Error Correction Model 
26. 26 Getting Started -  	Vector Error Correction Model 
27. 27 Getting Started -  	Vector Error Correction Model 
28. 28 Getting Started -  	Vector Error Correction Model 
29. 29 Getting Started -  	Vector Error Correction Model 
30. 30 Syntax - PROC VARMAX Statement 
31. 31 Syntax - CAUSAL Statement 
32. 32 Syntax - COINTEG Statement 
33. 33 Syntax - COINTEG Statement 
34. 34 Syntax - COINTEG Statement 
35. 35 Syntax - COINTEG Statement 
36. 36 Syntax - COINTEG Statement 
37. 37 Syntax - COINTEG Statement 
38. 38 Syntax - MODEL Statement 
39. 39 Syntax - MODEL Statement 
40. 40 Syntax - MODEL Statement 
41. 41 Syntax - MODEL Statement 
42. 42 Syntax - MODEL Statement 
43. 43 Syntax - MODEL Statement 
44. 44 Syntax - MODEL Statement 
45. 45 Syntax - MODEL Statement 
46. 46 Syntax - MODEL Statement 
47. 47 How to Perform a Cointegration Test 
48. 48 How to Perform a Cointegration Test 
49. 49 Example - Johansen-Juselius Danish data 
50. 50 Example - Johansen-Juselius Danish data 
51. 51 Example - Johansen-Juselius Danish data 
52. 52 Example - Johansen-Juselius Danish data 
53. 53 Example - Johansen-Juselius Danish data 
54. 54 Example - Johansen-Juselius Danish data 
55. 55 Example - Johansen-Juselius Danish data 
56. 56 Example - Johansen-Juselius Danish data 
57. 57 Example - Johansen-Juselius Danish data 
58. 58 Example - Johansen-Juselius Danish data 
59. 59 Example - Johansen-Juselius Danish data 
60. 60 Example - Johansen-Juselius Danish data 
61. 61 Example - Johansen-Juselius Danish data