RATS 10.1
RATS 10.1

EXAMPLESIX.RPF is a Getting Started example of the use of a RATS format file, and estimation by Non-Linear Least Squares.

Full Program

open data ExampleSix.rat

calendar(q) 1950:1

data(format=rats) 1950:01 2000:04 realcons realdpi

*

* Set up the parameter set and the non-linear formula

*

nonlin a b g

frml cfrml realcons = a+b*realdpi^g

*

* Give guess values to a, b and g using the linear regression when g=1.

*

linreg realcons

# constant realdpi

compute a=%beta(1),b=%beta(2),g=1.0

*

* Estimate the model

*

nlls(frml=cfrml)

Output

Linear Regression - Estimation by Least Squares

Dependent Variable REALCONS

Quarterly Data From 1950:01 To 2000:04

Usable Observations                       204

Degrees of Freedom                        202

Centered R^2                        0.9964481

R-Bar^2                             0.9964306

Uncentered R^2                      0.9993226

Mean of Dependent Variable       2999.4357843

Std Error of Dependent Variable  1459.7066917

Standard Error of Estimate         87.2098267

Sum of Squared Residuals         1536321.8808

Regression F(1,202)                56669.7234

Significance Level of F             0.0000000

Log Likelihood                     -1199.9952

Durbin-Watson Statistic                0.0920

 

    Variable                        Coeff      Std Error      T-Stat      Signif

************************************************************************************

1.  Constant                     -80.35474883  14.30585151     -5.61691  0.00000006

2.  REALDPI                        0.92168567   0.00387175    238.05403  0.00000000

 

 

Nonlinear Least Squares - Estimation by Gauss-Newton

Convergence in    65 Iterations. Final criterion was  0.0000003 <=  0.0000100

 

Dependent Variable REALCONS

Quarterly Data From 1950:01 To 2000:04

Usable Observations                       204

Degrees of Freedom                        201

Centered R^2                        0.9988339

R-Bar^2                             0.9988223

Uncentered R^2                      0.9997776

Mean of Dependent Variable       2999.4357843

Std Error of Dependent Variable  1459.7066917

Standard Error of Estimate         50.0945979

Sum of Squared Residuals         504403.21571

Regression F(2,201)                86081.2782

Significance Level of F             0.0000000

Log Likelihood                     -1086.3906

Durbin-Watson Statistic                0.2960

 

    Variable                        Coeff      Std Error      T-Stat      Signif

************************************************************************************

1.  A                            458.79905447  22.50138682     20.38981  0.00000000

2.  B                              0.10085209   0.01091037      9.24369  0.00000000

3.  G                              1.24482749   0.01205479    103.26415  0.00000000

 

 


Copyright © 2025 Thomas A. Doan