Wooldridge introduces time dummies ("separate year intercept"):
gretl version 1.9.14
Current session: 2013-12-01 15:48
? genr timedum
Panel dummy variables generated.
? ols  d_lfare 0 d_lfare_1 d_concen dt_*
Model 7: Pooled OLS, using 2298 observations
Included 1149 cross-sectional units
Time-series length = 2
Dependent variable: d_lfare
Omitted due to exact collinearity: dt_4
              coefficient   std. error   t-ratio   p-value 
  ---------------------------------------------------------
  const        0.0624434    0.00345296   18.08     1.93e-68 ***
  d_lfare_1   -0.126467     0.0185911    -6.803    1.31e-11 ***
  d_concen     0.0762671    0.0339566     2.246    0.0248   **
  dt_3        -0.0473536    0.00489878   -9.666    1.08e-21 ***
Mean dependent var   0.035789   S.D. dependent var   0.120723
Sum squared resid    31.29765   S.E. of regression   0.116804
R-squared            0.065095   Adjusted R-squared   0.063872
F(3, 2294)           53.24139   P-value(F)           2.90e-33
Log-likelihood       1675.672   Akaike criterion    -3343.345
Schwarz criterion   -3320.385   Hannan-Quinn        -3334.974
Bye
Giuseppe
On Sun, 2013-12-01 at 21:28 +0800, Qi Shi wrote:
 thank you! but Wooldridge's slope coefficients are -0.126 and
0.076
 respectively.
 
 
 On Sun, Dec 1, 2013 at 5:24 PM, Allin Cottrell <cottrell(a)wfu.edu>
 wrote:
         On Sun, 1 Dec 2013, Allin Cottrell wrote:
         
         > On Sun, 1 Dec 2013, Qi Shi wrote:
         >
         >> when I replicate Example 11.3 of Wooldridge's advance
         book(the second
         >> edition), i encounter a problem. To run the pooled OLS, I
         write
         >>
         >>  open airfare.dta
         >>  genr lfare_1=lfare(-1)
         >>  diff lare lfare_1 concen
         >>  ols  d_lfare d_lfare_1 d_concen
         >>
         >> then, I get the outputs, which is different from the
         results of the Book.
         >
         > Please post the results shown by Wooldridge, in as much
         detail as possible. I
         > don't have his book to hand at present.
         
         
         Ah, maybe you don't have to do that. You will get wrong
         results from the
         above becaause you did not define the dataset as a panel
         before doing
         first-differencing. You need
         
         open airfare.dta
         setobs id year --panel-vars
         ...
         
         Then you get:
         
         Model 1: Pooled OLS, using 2298 observations
         Included 1149 cross-sectional units
         Time-series length = 2
         Dependent variable: d_lfare
         
                        coefficient   std. error   t-ratio   p-value
            ---------------------------------------------------------
         
            const        0.0391942    0.00252693   15.51     1.12e-51
         ***
            d_lfare_1   -0.134426     0.0189432    -7.096    1.70e-12
         ***
            d_concen     0.105206     0.0344988     3.050    0.0023
         ***
         
         Mean dependent var   0.035789   S.D. dependent var   0.120723
         Sum squared resid    32.57246   S.E. of regression   0.119134
         R-squared            0.027014   Adjusted R-squared   0.026166
         F(2, 2295)           31.85930   P-value(F)           2.25e-14
         Log-likelihood       1629.799   Akaike criterion    -3253.599
         Schwarz criterion   -3236.379   Hannan-Quinn        -3247.320
         
         Does this agree with Wooldridge?
         
         Allin Cottrell
         
         
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