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Here is a simple example of how TSP works. It shows the basic regression procedure OLSQ (Ordinary Least Squares). For more complex examples, please see our TSP examples library.
FREQ A; ? Set the data frequency to annual. SMPL 61 75 ; ? Specify the range of data as 1961-1975. READ(file='illus.dat') GNP CONS I ; ? Read in GNP, consumption, investment REGOPT(LMLAGS=2) LMAR; ? Turn on the LMAR diagnostics. OLSQ CONS C GNP; ? Regress CONS on GNP and a constant.
This example produces the following output in TSP 4.5:
Equation 1
============
Method of estimation = Ordinary Least Squares
Dependent variable: CONS
Current sample: 1961 to 1975
Number of observations: 15
Mean of dep. var. = 626.527
Std. dev. of dep. var. = 105.195
Sum of squared residuals = 1911.53
Variance of residuals = 147.040
Std. error of regression = 12.1260
R-squared = .987662
Adjusted R-squared = .986712
LM het. test = .513322 [.474]
Durbin-Watson = .616923 [.000,.002]
Breusch/Godfrey LM: AR/MA1 = 9.22897 [.002]
Breusch/Godfrey LM: AR/MA2 = 8.69666 [.013]
Jarque-Bera test = .659462 [.719]
Ramsey's RESET2 = 6.96993 [.022]
F (zero slopes) = 1040.62 [.000]
Schwarz B.I.C. = 60.3492
Log likelihood = -57.6411
Estimated Standard
Variable Coefficient Error t-statistic P-value
C -63.3408 21.6135 -2.93061 [.012]
GNP .676823 .020981 32.2586 [.000]
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