Examples / ECT.RPF |
ECT.RPF demonstrates the analysis of a Vector Error Correction model. It analyzes a set of three interest rate yields, first testing for cointegration, then imposing it.
RATS does only a limited form of cointegration analysis. For a more complete treatment, the program CATS is available from Estima as an add-on. CATS provides more sophisticated tests for cointegrating rank, model diagnostics and tests on the structures of both the cointegrating vectors and their loadings (and much more).
cal(m) 1975:1
open data haverate.rat
data(format=rats) 1975:1 2001:6 ftbs3 ftb12 fcm7
FTBS3 is the 3 month US Treasury bill yield, FTB12 is the 12 month T-bill yield and FCM7 is the 7 year T-Bond yield.
The first step is to test that the three series have unit roots. (It’s strongly accepted for all).
@dfunit(lags=6) ftbs3
@dfunit(lags=6) ftb12
@dfunit(lags=6) fcm7
There are several ways to estimate the cointegrating vector. The simplest is to run an “Engle-Granger” regression (one of the yields on the other two). While the estimates from that are “super-consistent” if the series are cointegrated, there are other ways to get better smaller sample performance. Here we’ll use the @JOHMLE procedure, which does maximum likelihood estimation. Other procedures for estimating a cointegrating vector or vectors are @FM (does fully-modfied least squares) and @SWDOLS (does dynamic OLS). These are all included in the Time Series—Cointegration Estimation wizard.
Note that it is far from obvious (a priori) that the cointegrating rank will be one. It might very well be zero, or, if there were a single stochastic trend linking the yields, then the cointegrating rank would be two.
Because the series don’t have a trend, the appropriate choice for the deterministic component is DET=RC, which doesn’t include a constant in the individual equations (where it would cause the series to drift because of the unit roots), but restricts it to the cointegrating vector.
The components of the cointegrating vector produced by @JOHMLE with this choice will have four components: the three variables + the constant. If we had used the default DET=CONSTANT, it would only be a 3-vector, but we would also include DET CONSTANT in the SYSTEM definition. Be careful with your choice for the DET option—it’s a common error to select the wrong one. Note that there is no reason that the error correction term(s) will have mean zero—the requirement is that they be stationary, which includes processes with non-zero means.
The cointegrating rank is analyzed with
@johmle(lags=6,det=rc,cv=cvector)
# ftbs3 ftb12 fcm7
The output from @JOHMLE would have us reject rank=0 (41.2013 is bigger than the critical value 34.8) but accept rank=1. (Read the tests from top down). The CV option on the procedure returns (a) cointegrating vector corresponding to the largest eigenvalue. (This is subject to a scale factor—note that the "normalization" in this is inherited from the embedded eigenvalue problem and has no economic meaning).
This makes the cointegrating vector and creates an EQUATION for it for use in the Vector Error Correction Model (VECM). Note that this is defined without a dependent variable (the * parameter) since it's a weighted sum of all four components. The values (where the coefficients on FTBS3 and FTB12 are nearly equal and opposite sign and much larger than the coefficient on FCM7) would suggest that the stationary component might be the yield spread between the two shorter term rates.
equation(coeffs=cvector) ecteq *
# ftbs3 ftb12 fcm7 constant
This sets up the model with the error correction term. Note that, as described above, there is no CONSTANT as the constant is included in the cointegrating vector.
system(model=ectmodel)
variables ftbs3 ftb12 fcm7
lags 1 to 6
ect ecteq
end(system)
This estimates the model and computes the decomposition of variance:
estimate
compute sigma=%sigma
errors(model=ectmodel,steps=36)
ESTIMATE with a model with ECT elements defines the matrices %VECMPI and %VECMALPHA. %VECMPI is the estimated value of \(\Pi\) and %VECMALPHA are the loadings on the cointegrating vectors. Note well that the lag sums (used in the Blanchard-Quah and the short-and-long run restrictions) are much more complicated for a VECM model than a regular VAR as the long-run response matrix isn’t full rank. (If x and y are cointegrated, then if x has a zero long-run response, y must as well). See the SHORTANDLONGVECM.RPF example for the proper way to handle this.
If we needed two cointegrating vectors rather than one (in this case, we really don’t), we would need to use the VECTORS option on @JOHMLE to get the full set of eigenvectors, then %XCOL to pull out the coefficients for each of the two equations that we would need to define. For instance, here
@johmle(lags=6,det=rc,vectors=cvectors)
# ftbs3 ftb12 fcm7
equation(coeffs=%xcol(cvectors,1)) ect1 *
# ftbs3 ftb12 fcm7 constant
equation(coeffs=%xcol(cvectors,2)) ect2 *
# ftbs3 ftb12 fcm7 constant
*
system(model=ect2model)
variables ftbs3 ftb12 fcm7
lags 1 to 6
ect ect1 ect2
end(system)
estimate
errors(model=ect2model,steps=36)
Full Program
cal(m) 1975:1
open data haverate.rat
data(format=rats) 1975:1 2001:6 ftbs3 ftb12 fcm7
*
* Test for unit roots in the original variables
*
@dfunit(lags=6) ftbs3
@dfunit(lags=6) ftb12
@dfunit(lags=6) fcm7
*
* Use @JohMLE to test the cointegrating rank and estimate the
* cointegrating vector corresponding to the largest eigenvalue. Note
* that it is far from obvious (a priori) that the cointegrating rank
* will be one. It might very well be zero, or, if there were a single
* stochastic trend linking the yields, then the cointegrating rank would
* be two.
*
* Because the series don't have a trend, the appropriate choice for the
* deterministic component is det=rc, which doesn't include a constant in
* the individual equations (where it would cause the series to drift
* because of the unit roots), but restricts it to the cointegrating
* vector. The components of the cointegrating vector produced by JohMLE
* with this choice will have four components: the three variables + the
* constant. If we had done the default DET=CONSTANT, it would only be a
* 3-vector. We would also include DET CONSTANT in the SYSTEM definition.
*
@johmle(lags=6,det=rc,cv=cvector)
# ftbs3 ftb12 fcm7
equation(coeffs=cvector) ecteq *
# ftbs3 ftb12 fcm7 constant
*
* Set up the model with the error correction term
*
system(model=ectmodel)
variables ftbs3 ftb12 fcm7
lags 1 to 6
ect ecteq
end(system)
*
* Estimate it and compute the decomposition of variance
*
estimate
compute sigma=%sigma
errors(model=ectmodel,steps=36)
*
* Set up the model without the error correction term
*
system(model=ratemodel)
variables ftbs3 ftb12 fcm7
lags 1 to 6
det constant
end(system)
*
* Estimate and compute the decomposition of variance. This uses the same
* covariance matrix of residuals as above.
*
estimate
errors(model=ratemodel,steps=36,cv=sigma)
*
* Allowing for two cointegrating vectors. (The results of the
* cointegration test suggest that one is adequate).
*
@johmle(lags=6,det=rc,vectors=cvectors)
# ftbs3 ftb12 fcm7
equation(coeffs=%xcol(cvectors,1)) ect1 *
# ftbs3 ftb12 fcm7 constant
equation(coeffs=%xcol(cvectors,2)) ect2 *
# ftbs3 ftb12 fcm7 constant
*
system(model=ect2model)
variables ftbs3 ftb12 fcm7
lags 1 to 6
ect ect1 ect2
end(system)
estimate
errors(model=ect2model,steps=36)
Output
Dickey-Fuller Unit Root Test, Series FTBS3
Regression Run From 1975:08 to 2001:06
Observations 312
With intercept
Using fixed lags 6
Null is unit root. Reject in left tail.
Sig Level Crit Value
1%(**) -3.45303
5%(*) -2.87096
10% -2.57175
T-Statistic -1.35838
Dickey-Fuller Unit Root Test, Series FTB12
Regression Run From 1975:08 to 2001:06
Observations 312
With intercept
Using fixed lags 6
Null is unit root. Reject in left tail.
Sig Level Crit Value
1%(**) -3.45303
5%(*) -2.87096
10% -2.57175
T-Statistic -1.28267
Dickey-Fuller Unit Root Test, Series FCM7
Regression Run From 1975:08 to 2001:06
Observations 312
With intercept
Using fixed lags 6
Null is unit root. Reject in left tail.
Sig Level Crit Value
1%(**) -3.45303
5%(*) -2.87096
10% -2.57175
T-Statistic -1.29649
Likelihood Based Analysis of Cointegration
Variables: FTBS3 FTB12 FCM7
Estimated from 1975:07 to 2001:06
Data Points 312 Lags 6 with Constant restricted to Cointegrating Vector
Unrestricted eigenvalues, -T log(1-lambda) and Trace Test
Roots Rank EigVal Lambda-max Trace Trace-95%
3 0 0.0818 26.6264 41.2013 34.8000
2 1 0.0333 10.5567 14.5750 19.9900
1 2 0.0128 4.0183 4.0183 9.1300
Cointegrating Vector for Largest Eigenvalue
FTBS3 FTB12 FCM7 Constant
-3.154123 3.132882 -0.321838 0.619010
VAR/System - Estimation by Cointegrated Least Squares
Monthly Data From 1975:07 To 2001:06
Usable Observations 312
Dependent Variable FTBS3
Mean of Dependent Variable -0.005929487
Std Error of Dependent Variable 0.572477918
Standard Error of Estimate 0.491510475
Sum of Squared Residuals 71.508433993
Durbin-Watson Statistic 1.9616
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} 0.143892238 0.183591916 0.78376 0.43380689
2. D_FTBS3{2} 0.192186442 0.183710031 1.04614 0.29634985
3. D_FTBS3{3} -0.092909875 0.191610137 -0.48489 0.62811289
4. D_FTBS3{4} 0.408247277 0.174242798 2.34298 0.01979251
5. D_FTBS3{5} -0.212660827 0.169932295 -1.25144 0.21176048
6. D_FTB12{1} 0.290088325 0.260050689 1.11551 0.26553809
7. D_FTB12{2} -0.362872849 0.253978857 -1.42875 0.15412986
8. D_FTB12{3} 0.063761999 0.259907946 0.24533 0.80637455
9. D_FTB12{4} -0.577081483 0.246168719 -2.34425 0.01972637
10. D_FTB12{5} 0.151509694 0.247373031 0.61247 0.54069404
11. D_FCM7{1} 0.218441482 0.191699666 1.13950 0.25541657
12. D_FCM7{2} -0.278771615 0.195277984 -1.42756 0.15447181
13. D_FCM7{3} 0.165902869 0.196382770 0.84479 0.39890849
14. D_FCM7{4} 0.162678086 0.199755989 0.81438 0.41607968
15. D_FCM7{5} 0.233716355 0.196062364 1.19205 0.23419602
16. EC1{1} 0.062282194 0.027826301 2.23825 0.02594825
Dependent Variable FTB12
Mean of Dependent Variable -0.008685897
Std Error of Dependent Variable 0.561943004
Standard Error of Estimate 0.478368229
Sum of Squared Residuals 67.735504190
Durbin-Watson Statistic 1.9627
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} -0.196215312 0.178682946 -1.09812 0.27304455
2. D_FTBS3{2} 0.609142341 0.178797903 3.40688 0.00074806
3. D_FTBS3{3} -0.220795394 0.186486772 -1.18397 0.23737345
4. D_FTBS3{4} 0.510834851 0.169583809 3.01229 0.00281676
5. D_FTBS3{5} -0.357619776 0.165388563 -2.16230 0.03139593
6. D_FTB12{1} 0.468313663 0.253097328 1.85033 0.06526232
7. D_FTB12{2} -0.744190992 0.247187847 -3.01063 0.00283170
8. D_FTB12{3} -0.015874824 0.252958401 -0.06276 0.95000264
9. D_FTB12{4} -0.618901400 0.239586540 -2.58321 0.01026839
10. D_FTB12{5} 0.359172305 0.240758650 1.49184 0.13680725
11. D_FCM7{1} 0.385581182 0.186573907 2.06664 0.03963750
12. D_FCM7{2} -0.250214867 0.190056546 -1.31653 0.18901517
13. D_FCM7{3} 0.438478573 0.191131793 2.29412 0.02248400
14. D_FCM7{4} 0.088147039 0.194414816 0.45340 0.65059530
15. D_FCM7{5} 0.114017121 0.190819954 0.59751 0.55062274
16. EC1{1} 0.018519738 0.027082268 0.68383 0.49461586
Dependent Variable FCM7
Mean of Dependent Variable -0.008173077
Std Error of Dependent Variable 0.382826930
Standard Error of Estimate 0.323888686
Sum of Squared Residuals 31.051548720
Durbin-Watson Statistic 1.9830
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} -0.200394764 0.120980828 -1.65642 0.09869691
2. D_FTBS3{2} 0.439301740 0.121058662 3.62883 0.00033528
3. D_FTBS3{3} -0.184196931 0.126264563 -1.45882 0.14567571
4. D_FTBS3{4} 0.279448031 0.114820077 2.43379 0.01553315
5. D_FTBS3{5} -0.361887479 0.111979603 -3.23173 0.00136925
6. D_FTB12{1} 0.196795311 0.171364559 1.14840 0.25173008
7. D_FTB12{2} -0.408312647 0.167363429 -2.43968 0.01528740
8. D_FTB12{3} -0.109147013 0.171270497 -0.63728 0.52443602
9. D_FTB12{4} -0.240149459 0.162216813 -1.48042 0.13982405
10. D_FTB12{5} 0.461874003 0.163010414 2.83340 0.00492198
11. D_FCM7{1} 0.461530253 0.126323560 3.65356 0.00030584
12. D_FCM7{2} -0.257426149 0.128681550 -2.00049 0.04636053
13. D_FCM7{3} 0.444830857 0.129409566 3.43739 0.00067154
14. D_FCM7{4} -0.022530435 0.131632402 -0.17116 0.86421351
15. D_FCM7{5} -0.116804509 0.129198430 -0.90407 0.36669313
16. EC1{1} -0.034984890 0.018336586 -1.90793 0.05736794
Decomposition of Variance for Series FTBS3
Step Std Error FTBS3 FTB12 FCM7
1 0.47874179 100.000 0.000 0.000
2 0.86063935 97.772 2.116 0.112
3 1.09462944 97.074 2.808 0.118
4 1.25645195 97.202 2.682 0.117
5 1.37615925 97.065 2.518 0.417
6 1.48812665 96.120 2.855 1.025
7 1.60547581 94.152 4.401 1.447
8 1.71750515 92.209 6.000 1.791
9 1.82196997 90.851 6.974 2.175
10 1.92093202 89.760 7.692 2.548
11 2.01392368 88.902 8.306 2.792
12 2.10309100 88.180 8.909 2.911
13 2.18921891 87.498 9.505 2.997
14 2.27217662 86.921 10.000 3.079
15 2.35211841 86.451 10.394 3.155
16 2.42881809 86.046 10.722 3.232
17 2.50284549 85.696 11.002 3.302
18 2.57492782 85.384 11.258 3.358
19 2.64517901 85.100 11.494 3.406
20 2.71370940 84.846 11.704 3.450
21 2.78057990 84.620 11.891 3.489
22 2.84578756 84.416 12.057 3.526
23 2.90949666 84.232 12.208 3.560
24 2.97185890 84.063 12.347 3.591
25 3.03295481 83.906 12.475 3.618
26 3.09286395 83.762 12.594 3.644
27 3.15163700 83.628 12.703 3.668
28 3.20932402 83.505 12.805 3.691
29 3.26599021 83.390 12.899 3.712
30 3.32169102 83.282 12.986 3.731
31 3.37647710 83.182 13.069 3.749
32 3.43039249 83.088 13.146 3.766
33 3.48347293 82.999 13.218 3.782
34 3.53575532 82.916 13.287 3.798
35 3.58727546 82.838 13.351 3.812
36 3.63806599 82.763 13.411 3.825
Decomposition of Variance for Series FTB12
Step Std Error FTBS3 FTB12 FCM7
1 0.46594096 84.525 15.475 0.000
2 0.84691391 77.897 21.680 0.422
3 1.07662900 79.623 19.744 0.632
4 1.23966782 81.185 17.750 1.065
5 1.36371021 81.484 16.391 2.124
6 1.48693943 81.284 15.895 2.822
7 1.62088228 79.825 17.081 3.094
8 1.74816531 78.508 18.102 3.390
9 1.86704620 78.026 18.279 3.695
10 1.97802859 77.780 18.210 4.010
11 2.08089794 77.696 18.061 4.243
12 2.18015027 77.695 17.971 4.334
13 2.27630977 77.662 17.952 4.386
14 2.36897668 77.682 17.876 4.441
15 2.45854705 77.755 17.751 4.494
16 2.54443962 77.843 17.604 4.553
17 2.62725405 77.946 17.447 4.607
18 2.70787407 78.046 17.307 4.646
19 2.78639010 78.138 17.182 4.680
20 2.86296187 78.231 17.061 4.709
21 2.93764307 78.321 16.943 4.735
22 3.01041212 78.409 16.829 4.761
23 3.08146879 78.494 16.721 4.785
24 3.15097104 78.573 16.621 4.805
25 3.21901494 78.647 16.528 4.824
26 3.28570185 78.717 16.442 4.841
27 3.35108044 78.783 16.360 4.857
28 3.41520830 78.845 16.283 4.872
29 3.47816324 78.903 16.211 4.886
30 3.54000688 78.958 16.143 4.899
31 3.60079986 79.010 16.079 4.911
32 3.66059465 79.058 16.019 4.922
33 3.71943210 79.104 15.963 4.933
34 3.77735554 79.148 15.910 4.943
35 3.83440655 79.189 15.859 4.952
36 3.89062308 79.228 15.812 4.961
Decomposition of Variance for Series FCM7
Step Std Error FTBS3 FTB12 FCM7
1 0.31547455 45.312 33.565 21.122
2 0.56629789 43.452 35.774 20.774
3 0.71962294 48.782 29.636 21.582
4 0.84182334 50.656 24.765 24.579
5 0.95048963 50.969 21.185 27.846
6 1.05262204 52.943 19.222 27.835
7 1.15401281 54.424 18.703 26.874
8 1.24999908 55.585 17.924 26.491
9 1.34153123 57.063 16.716 26.221
10 1.42725499 58.339 15.532 26.129
11 1.50760607 59.450 14.462 26.087
12 1.58496383 60.557 13.575 25.868
13 1.65974848 61.561 12.826 25.614
14 1.73239941 62.474 12.129 25.397
15 1.80306830 63.306 11.487 25.207
16 1.87128456 64.046 10.901 25.052
17 1.93730046 64.719 10.371 24.910
18 2.00148069 65.329 9.900 24.770
19 2.06396059 65.882 9.479 24.639
20 2.12490396 66.389 9.096 24.515
21 2.18435578 66.848 8.747 24.405
22 2.24234375 67.266 8.428 24.307
23 2.29896495 67.649 8.136 24.215
24 2.35430147 68.001 7.869 24.130
25 2.40844320 68.325 7.625 24.051
26 2.46146832 68.624 7.399 23.977
27 2.51342315 68.900 7.191 23.909
28 2.56435989 69.156 6.998 23.846
29 2.61433176 69.394 6.819 23.787
30 2.66338664 69.615 6.652 23.733
31 2.71157457 69.821 6.497 23.681
32 2.75893876 70.014 6.352 23.633
33 2.80551602 70.195 6.217 23.589
34 2.85134234 70.364 6.089 23.546
35 2.89645111 70.524 5.970 23.507
36 2.94087400 70.674 5.857 23.469
VAR/System - Estimation by Least Squares
Monthly Data From 1975:07 To 2001:06
Usable Observations 312
Dependent Variable FTBS3
Mean of Dependent Variable 6.7367948718
Std Error of Dependent Variable 2.7537935220
Standard Error of Estimate 0.4913307785
Sum of Squared Residuals 70.731938624
Durbin-Watson Statistic 1.9641
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. FTBS3{1} 0.949849690 0.173113672 5.48686 0.00000009
2. FTBS3{2} 0.051481560 0.268026287 0.19208 0.84781531
3. FTBS3{3} -0.282233594 0.281940441 -1.00104 0.31763357
4. FTBS3{4} 0.501041691 0.275806862 1.81664 0.07029398
5. FTBS3{5} -0.623065201 0.253321054 -2.45959 0.01448731
6. FTBS3{6} 0.208500797 0.169911615 1.22711 0.22076509
7. FTB12{1} 0.476067063 0.247464217 1.92378 0.05535061
8. FTB12{2} -0.657054273 0.371246505 -1.76986 0.07779049
9. FTB12{3} 0.420523195 0.373870710 1.12478 0.26160183
10. FTB12{4} -0.644083928 0.363017481 -1.77425 0.07706014
11. FTB12{5} 0.730043756 0.351141259 2.07906 0.03848154
12. FTB12{6} -0.127395657 0.247929464 -0.51384 0.60775233
13. FCM7{1} 0.192032517 0.191984750 1.00025 0.31801545
14. FCM7{2} -0.488028875 0.296027721 -1.64859 0.10030307
15. FCM7{3} 0.448184371 0.300335289 1.49228 0.13670166
16. FCM7{4} -0.003945419 0.302960913 -0.01302 0.98961841
17. FCM7{5} 0.079191893 0.301378882 0.26277 0.79291620
18. FCM7{6} -0.273733240 0.197287068 -1.38749 0.16634767
19. Constant 0.216859820 0.120690747 1.79682 0.07339366
F-Tests, Dependent Variable FTBS3
Variable F-Statistic Signif
*******************************************************
FTBS3 21.5872 0.0000000
FTB12 1.8715 0.0855076
FCM7 1.2319 0.2897412
Dependent Variable FTB12
Mean of Dependent Variable 7.4486538462
Std Error of Dependent Variable 2.9034485730
Standard Error of Estimate 0.4769099191
Sum of Squared Residuals 66.640819779
Durbin-Watson Statistic 1.9625
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. FTBS3{1} -0.230517263 0.168032680 -1.37186 0.17115660
2. FTBS3{2} 0.805261296 0.260159551 3.09526 0.00215653
3. FTBS3{3} -0.818231176 0.273665316 -2.98990 0.00302745
4. FTBS3{4} 0.727931362 0.267711762 2.71909 0.00693678
5. FTBS3{5} -0.863706088 0.245885926 -3.51263 0.00051369
6. FTBS3{6} 0.353386040 0.164924605 2.14271 0.03295991
7. FTB12{1} 1.482998727 0.240200991 6.17399 0.00000000
8. FTB12{2} -1.216676944 0.360350193 -3.37637 0.00083368
9. FTB12{3} 0.711994659 0.362897375 1.96197 0.05071211
10. FTB12{4} -0.607768593 0.352362696 -1.72484 0.08561120
11. FTB12{5} 0.975179282 0.340835047 2.86115 0.00452492
12. FTB12{6} -0.341483748 0.240652582 -1.41899 0.15696465
13. FCM7{1} 0.392957590 0.186349880 2.10871 0.03581834
14. FCM7{2} -0.622034655 0.287339126 -2.16481 0.03120948
15. FCM7{3} 0.694582808 0.291520264 2.38262 0.01782746
16. FCM7{4} -0.347590427 0.294068824 -1.18200 0.23816264
17. FCM7{5} 0.035785764 0.292533227 0.12233 0.90272106
18. FCM7{6} -0.157107875 0.191496572 -0.82042 0.41264290
19. Constant 0.167572496 0.117148399 1.43043 0.15365941
F-Tests, Dependent Variable FTB12
Variable F-Statistic Signif
*******************************************************
FTBS3 3.3921 0.0029936
FTB12 19.6640 0.0000000
FCM7 1.8813 0.0838181
Dependent Variable FCM7
Mean of Dependent Variable 8.3178205128
Std Error of Dependent Variable 2.4713398464
Standard Error of Estimate 0.3236191070
Sum of Squared Residuals 30.685692641
Durbin-Watson Statistic 1.9852
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. FTBS3{1} -0.086590214 0.114022761 -0.75941 0.44821688
2. FTBS3{2} 0.641575287 0.176537745 3.63421 0.00032919
3. FTBS3{3} -0.620815798 0.185702418 -3.34307 0.00093625
4. FTBS3{4} 0.463264389 0.181662485 2.55014 0.01127699
5. FTBS3{5} -0.642211692 0.166852021 -3.84899 0.00014564
6. FTBS3{6} 0.359067373 0.111913699 3.20843 0.00148259
7. FTB12{1} 0.078120663 0.162994367 0.47928 0.63209381
8. FTB12{2} -0.607883255 0.244524601 -2.48598 0.01347685
9. FTB12{3} 0.294169849 0.246253055 1.19458 0.23321590
10. FTB12{4} -0.133321061 0.239104486 -0.55758 0.57755358
11. FTB12{5} 0.702639074 0.231282113 3.03802 0.00259594
12. FTB12{6} -0.446105406 0.163300805 -2.73180 0.00668116
13. FCM7{1} 1.470147847 0.126452354 11.62610 0.00000000
14. FCM7{2} -0.712357751 0.194981122 -3.65347 0.00030645
15. FCM7{3} 0.704831977 0.197818338 3.56303 0.00042779
16. FCM7{4} -0.467556535 0.199547727 -2.34308 0.01979403
17. FCM7{5} -0.088610150 0.198505709 -0.44639 0.65564824
18. FCM7{6} 0.089477242 0.129944769 0.68858 0.49163307
19. Constant 0.097078520 0.079493965 1.22121 0.22298971
F-Tests, Dependent Variable FCM7
Variable F-Statistic Signif
*******************************************************
FTBS3 5.7206 0.0000121
FTB12 4.0263 0.0006814
FCM7 212.3250 0.0000000
Decomposition of Variance for Series FTBS3
Step Std Error FTBS3 FTB12 FCM7
1 0.47874179 100.000 0.000 0.000
2 0.85683563 97.855 2.039 0.106
3 1.08410680 97.293 2.594 0.114
4 1.23825037 97.494 2.386 0.120
5 1.34957665 97.373 2.167 0.460
6 1.45145169 96.486 2.379 1.135
7 1.55616864 94.719 3.711 1.570
8 1.65315259 93.093 5.036 1.871
9 1.74054038 92.083 5.747 2.170
10 1.82041509 91.338 6.233 2.430
11 1.89289892 90.805 6.644 2.551
12 1.96051244 90.377 7.062 2.561
13 2.02356589 89.976 7.478 2.546
14 2.08173752 89.671 7.800 2.530
15 2.13542251 89.451 8.041 2.509
16 2.18471515 89.275 8.238 2.488
17 2.23038050 89.131 8.408 2.461
18 2.27306570 89.003 8.572 2.425
19 2.31280410 88.888 8.725 2.386
20 2.34978204 88.790 8.864 2.347
21 2.38419364 88.703 8.990 2.307
22 2.41617403 88.625 9.108 2.267
23 2.44596834 88.552 9.220 2.228
24 2.47375431 88.482 9.329 2.190
25 2.49964794 88.414 9.433 2.153
26 2.52377954 88.348 9.534 2.118
27 2.54625894 88.285 9.631 2.084
28 2.56719750 88.223 9.725 2.053
29 2.58670654 88.161 9.816 2.023
30 2.60487734 88.100 9.905 1.995
31 2.62179606 88.039 9.991 1.970
32 2.63754302 87.979 10.074 1.946
33 2.65219134 87.920 10.155 1.925
34 2.66581321 87.861 10.234 1.906
35 2.67847541 87.802 10.310 1.888
36 2.69023897 87.744 10.383 1.873
Decomposition of Variance for Series FTB12
Step Std Error FTBS3 FTB12 FCM7
1 0.46594096 84.525 15.475 0.000
2 0.84175537 78.133 21.408 0.458
3 1.06326430 80.047 19.212 0.741
4 1.21758832 81.661 17.025 1.314
5 1.33230611 81.863 15.518 2.619
6 1.44419802 81.617 14.869 3.514
7 1.56289301 80.303 15.833 3.864
8 1.67100255 79.253 16.573 4.174
9 1.76814249 79.035 16.520 4.445
10 1.85555904 79.031 16.281 4.687
11 1.93387648 79.172 16.011 4.817
12 2.00749440 79.383 15.818 4.798
13 2.07619072 79.559 15.695 4.746
14 2.13956348 79.777 15.526 4.697
15 2.19836693 80.025 15.330 4.644
16 2.25245256 80.266 15.140 4.595
17 2.30267452 80.499 14.963 4.538
18 2.34976263 80.712 14.817 4.470
19 2.39370587 80.905 14.694 4.401
20 2.43474798 81.086 14.583 4.331
21 2.47306806 81.252 14.487 4.261
22 2.50879634 81.402 14.404 4.193
23 2.54221242 81.538 14.336 4.126
24 2.57348316 81.658 14.281 4.060
25 2.60273024 81.765 14.239 3.997
26 2.63009619 81.859 14.206 3.936
27 2.65568354 81.941 14.182 3.877
28 2.67960906 82.014 14.165 3.821
29 2.70199036 82.076 14.156 3.768
30 2.72291833 82.129 14.154 3.717
31 2.74248345 82.174 14.157 3.669
32 2.76076877 82.212 14.164 3.624
33 2.77784886 82.242 14.176 3.582
34 2.79379929 82.267 14.191 3.542
35 2.80868927 82.285 14.209 3.506
36 2.82258223 82.299 14.230 3.471
Decomposition of Variance for Series FCM7
Step Std Error FTBS3 FTB12 FCM7
1 0.31547455 45.312 33.565 21.122
2 0.56356422 43.337 35.738 20.924
3 0.71249839 48.522 29.524 21.955
4 0.82987740 50.194 24.622 25.184
5 0.93261483 50.296 21.080 28.625
6 1.02718578 52.108 19.219 28.673
7 1.11941584 53.541 18.811 27.648
8 1.20418019 54.780 18.098 27.123
9 1.28290896 56.404 16.952 26.644
10 1.35481434 57.868 15.850 26.282
11 1.42083928 59.207 14.874 25.919
12 1.48339537 60.558 14.078 25.364
13 1.54233880 61.797 13.414 24.788
14 1.59797434 62.941 12.801 24.258
15 1.65068194 63.999 12.245 23.756
16 1.70022575 64.962 11.752 23.286
17 1.74704653 65.852 11.320 22.828
18 1.79149072 66.671 10.950 22.379
19 1.83361667 67.425 10.628 21.947
20 1.87360247 68.122 10.345 21.533
21 1.91153033 68.763 10.098 21.139
22 1.94749279 69.354 9.882 20.764
23 1.98164640 69.901 9.695 20.404
24 2.01408187 70.406 9.535 20.059
25 2.04489113 70.874 9.397 19.729
26 2.07416379 71.307 9.279 19.414
27 2.10196185 71.708 9.178 19.113
28 2.12836293 72.081 9.093 18.826
29 2.15344077 72.426 9.022 18.552
30 2.17725501 72.746 8.963 18.291
31 2.19986729 73.044 8.916 18.041
32 2.22133291 73.320 8.877 17.803
33 2.24170279 73.576 8.848 17.576
34 2.26102871 73.814 8.826 17.360
35 2.27935833 74.035 8.811 17.154
36 2.29673665 74.240 8.802 16.958
Likelihood Based Analysis of Cointegration
Variables: FTBS3 FTB12 FCM7
Estimated from 1975:07 to 2001:06
Data Points 312 Lags 6 with Constant restricted to Cointegrating Vector
Unrestricted eigenvalues and -T log(1-lambda)
Rank EigVal Lambda-max Trace Trace-95% LogL
0 20.2392
1 0.0818 26.6264 41.2013 35.0700 33.5524
2 0.0333 10.5567 14.5750 20.1600 38.8307
3 0.0128 4.0183 4.0183 9.1400 40.8399
Cointegrating Vector for Largest Eigenvalue
FTBS3 FTB12 FCM7 Constant
-3.154123 3.132882 -0.321838 0.619010
VAR/System - Estimation by Cointegrated Least Squares
Monthly Data From 1975:07 To 2001:06
Usable Observations 312
Dependent Variable FTBS3
Mean of Dependent Variable -0.005929487
Std Error of Dependent Variable 0.572477918
Standard Error of Estimate 0.492145429
Sum of Squared Residuals 71.451101355
Durbin-Watson Statistic 1.9599
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} 0.138523739 0.184159956 0.75219 0.45253504
2. D_FTBS3{2} 0.184842417 0.184565657 1.00150 0.31740614
3. D_FTBS3{3} -0.094836473 0.191898528 -0.49420 0.62153192
4. D_FTBS3{4} 0.404134436 0.174672569 2.31367 0.02137319
5. D_FTBS3{5} -0.212580681 0.170151901 -1.24936 0.21252444
6. D_FTB12{1} 0.303745337 0.261895294 1.15980 0.24706935
7. D_FTB12{2} -0.349298761 0.255832826 -1.36534 0.17318648
8. D_FTB12{3} 0.071058136 0.260675425 0.27259 0.78535727
9. D_FTB12{4} -0.570728462 0.246832365 -2.31221 0.02145449
10. D_FTB12{5} 0.155224089 0.247810227 0.62638 0.53154821
11. D_FCM7{1} 0.213056337 0.192266177 1.10813 0.26870739
12. D_FCM7{2} -0.281287770 0.195598634 -1.43809 0.15146946
13. D_FCM7{3} 0.164867481 0.196647981 0.83839 0.40249113
14. D_FCM7{4} 0.163747663 0.200026123 0.81863 0.41365754
15. D_FCM7{5} 0.235929471 0.196368339 1.20146 0.23053498
16. EC1{1} 0.062282194 0.027862248 2.23536 0.02614182
17. EC2{1} -0.013555754 0.027862248 -0.48653 0.62695437
Dependent Variable FTB12
Mean of Dependent Variable -0.008685897
Std Error of Dependent Variable 0.561943004
Standard Error of Estimate 0.477777924
Sum of Squared Residuals 67.340164614
Durbin-Watson Statistic 1.9585
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} -0.210312648 0.178783661 -1.17635 0.24040233
2. D_FTBS3{2} 0.589857400 0.179177518 3.29203 0.00111560
3. D_FTBS3{3} -0.225854518 0.186296316 -1.21234 0.22635220
4. D_FTBS3{4} 0.500034792 0.169573244 2.94878 0.00344544
5. D_FTBS3{5} -0.357409317 0.165184551 -2.16370 0.03129021
6. D_FTB12{1} 0.504176107 0.254249623 1.98300 0.04829503
7. D_FTB12{2} -0.708546302 0.248364141 -2.85285 0.00463926
8. D_FTB12{3} 0.003284366 0.253065366 0.01298 0.98965385
9. D_FTB12{4} -0.602218772 0.239626435 -2.51316 0.01249861
10. D_FTB12{5} 0.368926069 0.240575750 1.53351 0.12622120
11. D_FCM7{1} 0.371440134 0.186653232 1.99000 0.04751367
12. D_FCM7{2} -0.256822132 0.189888402 -1.35249 0.17725447
13. D_FCM7{3} 0.435759710 0.190907116 2.28257 0.02316702
14. D_FCM7{4} 0.090955680 0.194186637 0.46839 0.63984940
15. D_FCM7{5} 0.119828622 0.190635637 0.62857 0.53011430
16. EC1{1} 0.018519738 0.027048849 0.68468 0.49408502
17. EC2{1} -0.035596545 0.027048849 -1.31601 0.18919251
Dependent Variable FCM7
Mean of Dependent Variable -0.008173077
Std Error of Dependent Variable 0.382826930
Standard Error of Estimate 0.324238836
Sum of Squared Residuals 31.013592693
Durbin-Watson Statistic 1.9815
Variable Coeff Std Error T-Stat Signif
************************************************************************************
1. D_FTBS3{1} -0.204762861 0.121329604 -1.68766 0.09253385
2. D_FTBS3{2} 0.433326250 0.121596891 3.56363 0.00042642
3. D_FTBS3{3} -0.185764514 0.126427986 -1.46933 0.14280873
4. D_FTBS3{4} 0.276101604 0.115079054 2.39923 0.01704976
5. D_FTBS3{5} -0.361822268 0.112100714 -3.22765 0.00138871
6. D_FTB12{1} 0.207907385 0.172543765 1.20495 0.22918661
7. D_FTB12{2} -0.397268045 0.168549646 -2.35698 0.01907763
8. D_FTB12{3} -0.103210487 0.171740082 -0.60097 0.54832202
9. D_FTB12{4} -0.234980302 0.162619896 -1.44497 0.14952866
10. D_FTB12{5} 0.464896233 0.163264138 2.84751 0.00471570
11. D_FCM7{1} 0.457148612 0.126670203 3.60897 0.00036103
12. D_FCM7{2} -0.259473428 0.128865717 -2.01352 0.04496807
13. D_FCM7{3} 0.443988410 0.129557055 3.42697 0.00069710
14. D_FCM7{4} -0.021660170 0.131782667 -0.16436 0.86955809
15. D_FCM7{5} -0.115003800 0.129372819 -0.88893 0.37476323
16. EC1{1} -0.034984890 0.018356409 -1.90587 0.05763919
17. EC2{1} -0.011029684 0.018356409 -0.60086 0.54839272
Decomposition of Variance for Series FTBS3
Step Std Error FTBS3 FTB12 FCM7
1 0.47854983 100.000 0.000 0.000
2 0.85969982 97.828 2.048 0.124
3 1.09269978 97.209 2.637 0.153
4 1.25371447 97.374 2.445 0.181
5 1.37319529 97.158 2.235 0.607
6 1.48464269 96.140 2.467 1.393
7 1.59981922 94.246 3.791 1.963
8 1.70793799 92.432 5.115 2.454
9 1.80745104 91.163 5.834 3.003
10 1.90046141 90.138 6.316 3.545
11 1.98675427 89.351 6.713 3.936
12 2.06877811 88.718 7.105 4.177
13 2.14710794 88.134 7.484 4.383
14 2.22144487 87.651 7.759 4.590
15 2.29210471 87.264 7.942 4.794
16 2.35915914 86.927 8.071 5.002
17 2.42327465 86.634 8.166 5.200
18 2.48502500 86.376 8.245 5.379
19 2.54445596 86.144 8.307 5.549
20 2.60174852 85.938 8.349 5.713
21 2.65705527 85.754 8.374 5.872
22 2.71047057 85.586 8.387 6.027
23 2.76220435 85.433 8.391 6.175
24 2.81240454 85.291 8.390 6.319
25 2.86116314 85.158 8.383 6.459
26 2.90858619 85.034 8.371 6.595
27 2.95475441 84.917 8.355 6.728
28 2.99974817 84.807 8.335 6.858
29 3.04365089 84.702 8.313 6.985
30 3.08652917 84.602 8.289 7.109
31 3.12844519 84.507 8.264 7.230
32 3.16945529 84.415 8.237 7.348
33 3.20960899 84.328 8.208 7.464
34 3.24895543 84.243 8.179 7.578
35 3.28753927 84.162 8.149 7.689
36 3.32540071 84.083 8.119 7.798
Decomposition of Variance for Series FTB12
Step Std Error FTBS3 FTB12 FCM7
1 0.46457923 84.689 15.311 0.000
2 0.84282455 78.298 21.210 0.492
3 1.07030014 80.166 19.003 0.831
4 1.23220604 81.724 16.794 1.482
5 1.35583936 81.843 15.257 2.899
6 1.47776908 81.554 14.561 3.885
7 1.60726262 80.216 15.431 4.353
8 1.72724915 79.041 16.100 4.859
9 1.83743794 78.623 15.997 5.380
10 1.93902084 78.387 15.701 5.912
11 2.03240381 78.298 15.366 6.336
12 2.12180161 78.321 15.103 6.576
13 2.20720247 78.330 14.901 6.769
14 2.28827713 78.385 14.645 6.970
15 2.36570552 78.479 14.354 7.167
16 2.43928924 78.571 14.060 7.369
17 2.50977952 78.670 13.772 7.558
18 2.57784776 78.765 13.510 7.725
19 2.64349154 78.852 13.264 7.884
20 2.70694342 78.938 13.027 8.035
21 2.76834682 79.018 12.800 8.182
22 2.82778650 79.091 12.584 8.324
23 2.88549785 79.160 12.380 8.460
24 2.94161785 79.221 12.189 8.591
25 2.99624356 79.276 12.007 8.717
26 3.04948945 79.325 11.835 8.840
27 3.10142711 79.370 11.671 8.959
28 3.15214054 79.409 11.515 9.075
29 3.20171651 79.445 11.367 9.188
30 3.25021898 79.476 11.226 9.297
31 3.29771274 79.504 11.092 9.404
32 3.34425472 79.529 10.963 9.508
33 3.38989365 79.551 10.840 9.610
34 3.43467991 79.570 10.722 9.709
35 3.47865846 79.586 10.608 9.805
36 3.52186979 79.600 10.500 9.900
Decomposition of Variance for Series FCM7
Step Std Error FTBS3 FTB12 FCM7
1 0.31528168 45.271 33.927 20.802
2 0.56573636 43.423 35.917 20.660
3 0.71927237 48.718 29.587 21.696
4 0.84222325 50.511 24.617 24.871
5 0.95142750 50.752 21.026 28.222
6 1.05348608 52.696 19.084 28.219
7 1.15430822 54.178 18.566 27.256
8 1.24900555 55.330 17.772 26.898
9 1.33884264 56.786 16.560 26.655
10 1.42294394 58.039 15.389 26.572
11 1.50223099 59.147 14.342 26.510
12 1.57897959 60.272 13.480 26.248
13 1.65303215 61.296 12.753 25.952
14 1.72471285 62.230 12.074 25.696
15 1.79438043 63.086 11.451 25.463
16 1.86173495 63.856 10.889 25.255
17 1.92716045 64.566 10.387 25.047
18 1.99099297 65.218 9.945 24.837
19 2.05327641 65.814 9.552 24.634
20 2.11416422 66.365 9.196 24.439
21 2.17371587 66.871 8.874 24.255
22 2.23198683 67.337 8.583 24.079
23 2.28909681 67.771 8.321 23.908
24 2.34511349 68.172 8.084 23.743
25 2.40010622 68.546 7.870 23.584
26 2.45413872 68.895 7.674 23.431
27 2.50724727 69.221 7.495 23.284
28 2.55948316 69.526 7.332 23.142
29 2.61089448 69.813 7.183 23.004
30 2.66151753 70.083 7.046 22.871
31 2.71139152 70.337 6.920 22.743
32 2.76054905 70.577 6.804 22.619
33 2.80901839 70.803 6.697 22.499
34 2.85682920 71.018 6.599 22.383
35 2.90400765 71.222 6.507 22.271
36 2.95057795 71.416 6.422 22.162
Copyright © 2025 Thomas A. Doan