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Basic Example of TSP

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 to test for serial correlation.
 OLSQ CONS C GNP; ? Regress CONS on GNP and a constant.
 

This example produces the following output in TSP:

 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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