ANNEXES:
1) Tableau: Code des pays
|
Country code:
|
Pays:
|
|
1 DZA
|
Algeria
|
|
2 ARG
|
Argentina
|
|
3 BRA
|
Brazil
|
|
4 BGR
|
Bulgaria
|
|
5 CHL
|
Chile
|
|
6 CHN
|
China
|
|
7 COL
|
Colombia
|
|
8 CRI
|
Costa Rica
|
|
9 DOM
|
Dominican Republic
|
|
10 EGY
|
Egypt
|
|
11 SLV
|
El Salvador
|
|
12 HUN
|
Hungary
|
|
13 IND
|
India
|
|
14 IDN
|
Indonesia
|
|
15 JAM
|
Jamaica
|
|
16 MYS
|
Malaysia
|
|
17 MEX
|
Mexico
|
|
18 PAK
|
Pakistan
|
|
19 PAN
|
Panama
|
|
20 PER
|
Peru
|
|
21 PHL
|
Philippines
|
|
22 POL
|
Poland
|
|
23 ROM
|
Romania
|
|
24 THA
|
Thailand
|
|
25 TUN
|
Tunisia
|
|
26 VEN
|
Venezuela
|
2) Résultatssur le logicielStata:
Regression: avec toutes les variables
(celleutiliséedansnotremodèleajusté)
PremèreEtape:
regress
lntradeopennesslnarlnpopgvteffectivenesscontrolofcorruptionlandlock
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 .0932868 -6.31 0.000
-.7720595 -.4044218
landlock | (dropped)
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
DeuxièmeEtape
. regress lngilnopennessgvteffectiveness D1labourforce D2land
landlockcontrolofcorruption
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 3.97 0.000
.1599354 .4798927
landlock | (dropped)
controlofc~n | .178219 .09298 1.92 0.058
-.0063696 .3628075
_cons | 2.445466 .5431999 4.50 0.000
1.367078 3.523854
------------------------------------------------------------------------------
Regression: sans les variables Government
Effectiveness et Control of Corruption (non
utiliséedansnotremodèleajusté)
Première Etape:
. regress lntradeopennesslnarlnpoplandlock 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
DeuxièmeEtape:
. 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
------------------------------------------------------------------------------
| 
