RATS 11.1
RATS 11.1

@SWAMY implements the Swamy random coefficients estimator from Swamy(1970). @MEANGROUP is a similar procedure which does pooled mean group (equally-weighted) estimates.

 

@SWAMY( options )   depvar start end

# list of regressors (in regression format)

Parameters

depvar

dependent variable

start, end

range for regression. By default, the maximum range permitted by all variables involved in the regression.

Options

DELTA=covariance matrix of beta(i)-beta [estimated from data]

 

SMPL=standard SMPL option [none]

 

[PRINT]/NOPRINT

TITLE="title for output" ["Pooled Mean Group"]

 

DEFINE=equation to define [none]

Variables Defined

%BETA

estimates of mean of coefficient process (VECTOR)

%XX

estimates of covariance matrix of mean coefficient (SYMMETRIC)

%%IBETAS

individual coefficients (VECT[VECTOR]). %%IBETAS(i) is the coefficient vector for individual i.

%%IXX

individual covariance matrices (VECT[SYMMETRIC]). %%IXX(i) as the covariance matrix for individual i

 

Example

*

* Greene, Econometric Analysis, 7th Edition

* Example 11.19 from p. 418-419

*

open data produc_fix.prn

calendar(panelobs=17,a) 1970:1

data(format=prn,org=columns,left=3) 1//1970:01 48//1986:01 yr p_cap hwy water util pc gsp emp unemp

*

* Log all variables except unemp

*

dofor s = gsp p_cap hwy water util pc emp

   log s

end dofor

*

linreg gsp

# constant pc hwy water util emp unemp

@swamy gsp

# constant pc hwy water util emp unemp

Sample Output

This shows the output from the LINREG (OLS) and @SWAMY.

 

Linear Regression - Estimation by Least Squares

Dependent Variable GSP

Panel(17) of Annual Data From      1//1970:01 To     48//1986:01

Usable Observations                       816

Degrees of Freedom                        809

Centered R^2                        0.9930534

R-Bar^2                             0.9930018

Uncentered R^2                      0.9999351

Mean of Dependent Variable       10.508849637

Std Error of Dependent Variable   1.021131864

Standard Error of Estimate        0.085422808

Sum of Squared Residuals         5.9033184420

Regression F(6,809)                19275.0232

Significance Level of F             0.0000000

Log Likelihood                       853.1372

Durbin-Watson Statistic                0.1877

 

    Variable                        Coeff      Std Error      T-Stat      Signif

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

1.  Constant                      1.926004375  0.052503182     36.68357  0.00000000

2.  PC                            0.312023086  0.011087500     28.14188  0.00000000

3.  HWY                           0.058881719  0.015411448      3.82065  0.00014330

4.  WATER                         0.118580557  0.012356570      9.59656  0.00000000

5.  UTIL                          0.008555123  0.012354029      0.69250  0.48882423

6.  EMP                           0.549695456  0.015536879     35.38004  0.00000000

7.  UNEMP                        -0.007270503  0.001383632     -5.25465  0.00000019

 

Linear Regression - Estimation by Swamy Random Coefficients

Dependent Variable GSP

Panel(17) of Annual Data From      1//1970:01 To     48//1986:01

Usable Observations                       816

Degrees of Freedom                        809

Mean of Dependent Variable       10.508849637

Std Error of Dependent Variable   1.021131864

Standard Error of Estimate        0.212964578

Sum of Squared Residuals         36.691314502

Durbin-Watson Statistic                0.1235

 

    Variable                        Coeff      Std Error      T-Stat      Signif

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

1.  Constant                      1.653077991  1.083313374      1.52595  0.12702325

2.  PC                            0.094075492  0.051516152      1.82614  0.06782980

3.  HWY                           0.105011432  0.173640565      0.60476  0.54533632

4.  WATER                         0.076718921  0.067427329      1.13780  0.25520335

5.  UTIL                         -0.014902110  0.098864318     -0.15073  0.88018638

6.  EMP                           0.919059423  0.104448623      8.79915  0.00000000

7.  UNEMP                        -0.004705473  0.002067306     -2.27614  0.02283775


 


Copyright © 2026 Thomas A. Doan