2) Résultats sur le logiciel Stata:
Regression: avec toutes les variables (celle
utilisée dans notre modèle ajusté) Premère Etape:
regress lntradeopenness lnar lnpop gvteffectiveness
controlofcorruption landlock D1labourforce D2land
Source | SS df MS Number of obs = 234
-------------------+------------------------------------------------------------
F( 6, 227) = 49.60
Model | 35.2385735 6 5.87309558 Prob > F = 0.0000
Residual | 26.8784989 227 .118407484 R-squared = 0.5673
-------------------+------------------------------------------------------------
Adj R-squared = 0.5559
Total | 62.1170724 233 .266596877 Root MSE = .3441
lntradeope~s | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------------------+--------------------------------------------------------------------------------------------------------------------------------
lnar | -.0820334 .029515 -2.78 0.006 -.1401918 -.023875
lnpop | -.0700406 .0298577 -2.35 0.020 -.1288743 -.011207
|
gvteffecti~s | .8342466 .1008977
|
8.27 0.000
|
.6354308
|
1.033062
|
|
controlofc~n | -.5882407
landlock | (dropped)
|
.0932868
|
-6.31
|
0.000
|
-.7720595
|
-.4044218
|
|
D1labourfo~e | -.0845784
|
.053292
|
-1.59
|
0.114
|
-.1895886
|
.0204318
|
|
D2land | -.1511422
|
.0735319
|
-2.06
|
0.041
|
-.2960345
|
-.0062499
|
|
_cons | 6.008556
|
.2352504
|
25.54
|
0.000
|
5.545002
|
6.47211
|
. generate lnopenness= 6.008556+ (-0.0820334)* lnar+
(-0.0700406)*lnpop+0.8342466* gvteffectiveness+(-0.588
> 2407)* controlofcorruption+ (-0.0845784 )* D1labourforce+
(-0.1511422)*D2land
30
Deuxième Etape
. regress lngi lnopenness gvteffectiveness D1labourforce D2land
landlock controlofcorruption
Source | SS df MS Number of obs = 101
-------------------+------------------------------------------------------------
F( 5, 95) = 4.99
Model | 1.02197053 5 .204394106 Prob > F = 0.0004
Residual | 3.88907872 95 .040937671 R-squared = 0.2081
-------------------+------------------------------------------------------------
Adj R-squared = 0.1664
Total | 4.91104925 100 .049110493 Root MSE = .20233
lngi | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------------------+--------------------------------------------------------------------------------------------------------------------------------
|
lnopenness | .2869262
|
.123116
|
2.33
|
0.022
|
.0425102
|
.5313423
|
|
gvteffecti~s | -.2435177
|
.1206551
|
-2.02
|
0.046
|
-.4830484
|
-.003987
|
|
D1labourfo~e | .1537827 .049376
|
3.11
|
0.002
|
.0557589
|
.2518065
|
|
D2land | .3199141 .0805836
landlock | (dropped)
controlofc~n | .178219 .09298
|
3.97
1.92
|
0.000
0.058
|
.1599354
-.0063696
|
.4798927
.3628075
|
_cons | 2.445466 .5431999 4.50 0.000 1.367078 3.523854
31
Regression: sans les variables Government
Effectiveness et Control of Corruption (non utilisée dans notre
modèle ajusté)
Première Etape:
. regress lntradeopenness lnar lnpop landlock D1labourforce
D2land
Source | SS df MS Number of obs = 546
-------------------+------------------------------------------------------------
F( 4, 541) = 71.22
Model | 67.5961262 4 16.8990315 Prob > F = 0.0000
Residual | 128.375 541 .237292051 R-squared = 0.3449
-------------------+------------------------------------------------------------
Adj R-squared = 0.3401
Total | 195.971126 545 .359580047 Root MSE = .48713
lntradeope~s | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------------------+--------------------------------------------------------------------------------------------------------------------------------
lnar | -.0900084 .0261766 -3.44 0.001 -.1414286 -.0385882 lnpop |
-.0606328 .0253503 -2.39 0.017 -.11043 -.0108357 landlock | (dropped)
D1labourfo~e | -.0451266 .0440432 -1.02 0.306 -.1316432 .04139
D2land | -.2843374 .0666547 -4.27 0.000 -.4152711 -.1534037
_cons | 5.979251 .2178935 27.44 0.000 5.55123 6.407272
. generate lnopenness1= 5.979251+ (-0.0900084)* lnar+ (
-0.0606328)*lnpop+ (0.0451266 )* D1labourforce+ (
> -0.2843374 )*D2land
32
Deuxième Etape:
. regress lngi lnopenness1 D1labourforce D2land landlock
Source | SS df MS Number of obs = 191
- - - - - - - - - -+ - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - F( 3, 187) = 20.05
Model | 3.04346554 3 1.01448851 Prob > F = 0.0000
Residual | 9.4634541 187 .050606706 R--squared = 0.2433
- - - - - - - - - -+ - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - Adj R--squared = 0.2312
Total | 12.5069196 190 .065825893 Root MSE = .22496
lngi | Coef. Std. Err. t P>|t| [95% Conf. Interval]
- - - - - - - - - - - - -+ - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
lnopenness1 | .1448346 .0973303 1.49 0.138 --.0471719 .336841
D1labourfo~e | .1798704 .0333614 5.39 0.000 .1140572 .2456835 D2land | .3121823
.0745708 4.19 0.000 .1650742 .4592905 landlock | (dropped)
_cons | 3.005439 .4210255 7.14 0.000 2.174869 3.836009
| 
