-------------
      name:  <unnamed>
       log:  K:\Eigene Dateien\abgeschlossen\telecom_regulation_competition\2016 BB Inflation\Submission IREE\data_analysis\robusntess.smcl
  log type:  smcl
 opened on:  13 Apr 2018, 11:10:30

.
.
. *********************************************************
. *******************
. * ROBUSTNESS CHECKS
. *******************
. * 1st table
. * Bun & Kiviet
. xtlsdvc cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff    ukdummy , initial(bb) first  lsdv  bias(2)  vcov(2000)
Note: Bias correction initialized by Blundell and Bond estimator

Note: Blundell and Bond estimator is implemented through
      the user-written Stata command -xtabond2- by David Roodman,
      Center for Global Development, Washington, DC droodman@cgdev.org
Favoring speed over space. To switch, type or click on mata: mata set matafavor space, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: co1                             Number of obs      =       375
Time variable : year                            Number of groups   =        29
Number of instruments = 154                     Obs per group: min =        10
Wald chi2(7)  =    191.17                                      avg =     12.93
Prob > chi2   =     0.000                                      max =        15
---------------+----------------------------------------------------------------
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
       cpidiff |
           L1. |   -.0483968    .0454843     -1.06    0.287     -.1375443     .0407507
               |
     fixeddiff |   -.1089137    .0281174     -3.87    0.000     -.1640227    -.0538046
    gdpgapdiff |    .0747204     .040949      1.82    0.068     -.0055382     .1549789
tradegoodsdiff |    .0217282     .018079      1.20    0.229     -.0137059     .0571624
      hwwidiff |    .0301668     .003919      7.70    0.000      .0224856     .0378479
        fxdiff |   -.0432262    .0168233     -2.57    0.010     -.0761992    -.0102532
       ukdummy |     2.03076    1.614274      1.26    0.208      -1.13316     5.194679
---------------+----------------------------------------------------------------
Instruments for first differences equation
  Standard
    D.(fixeddiff gdpgapdiff tradegoodsdiff hwwidiff fxdiff ukdummy)
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L(1/19).L.cpidiff
Instruments for levels equation
  Standard
    fixeddiff gdpgapdiff tradegoodsdiff hwwidiff fxdiff ukdummy
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    D.L.cpidiff
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z =  -7.65  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =  -3.48  Pr > z =  0.001
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(147)  = 242.46  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(132)  = 228.28  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(15)   =  14.18  Prob > chi2 =  0.512
  iv(fixeddiff gdpgapdiff tradegoodsdiff hwwidiff fxdiff ukdummy)
    Sargan test excluding group:     chi2(141)  = 240.16  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(6)    =   2.30  Prob > chi2 =  0.890

LSDV dynamic regression
---------------+----------------------------------------------------------------
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
       cpidiff |
           L1. |   -.0679927    .0450689     -1.51    0.131     -.1563261     .0203406
               |
     fixeddiff |   -.0544616    .0385162     -1.41    0.157     -.1299519     .0210287
    gdpgapdiff |     .035035    .0434057      0.81    0.420     -.0500386     .1201086
tradegoodsdiff |     .021066    .0190753      1.10    0.269      -.016321     .0584529
      hwwidiff |    .0324648    .0041925      7.74    0.000      .0242477     .0406818
        fxdiff |   -.0433559    .0173059     -2.51    0.012     -.0772749    -.0094369
       ukdummy |     .865891    1.587183      0.55    0.585     -2.244931     3.976713
---------------+----------------------------------------------------------------


note: Bias correction up to order O(1/NT)

LSDVC dynamic regression
(bootstrapped SE)
---------------+----------------------------------------------------------------
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
       cpidiff |
           L1. |   -.0232734    .0460051     -0.51    0.613     -.1134418     .0668949
               |
     fixeddiff |   -.0548034    .0395322     -1.39    0.166     -.1322851     .0226784
    gdpgapdiff |    .0354446    .0446989      0.79    0.428     -.0521636     .1230529
tradegoodsdiff |    .0222026    .0191816      1.16    0.247     -.0153926     .0597978
      hwwidiff |    .0327291    .0042968      7.62    0.000      .0243074     .0411507
        fxdiff |   -.0420852     .017406     -2.42    0.016     -.0762004      -.00797
       ukdummy |     .869178    1.547123      0.56    0.574     -2.163128     3.901484
---------------+----------------------------------------------------------------

.
. * Different control variables
. xtreg cpidiff fixeddiff  gdpgr gdppc agri_share regqual tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy, fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        350
Group variable: co1                             Number of groups  =         28

R-sq:                                           Obs per group:
     within  = 0.4231                                         min =          4
     between = 0.0403                                         avg =       12.5
     overall = 0.3675                                         max =         14

                                                Wald chi2(11)     =          .
corr(u_i, Xb)  = -0.3539                        Prob > chi2       =          .

(Replications based on 28 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0643553    .0280521     -2.29    0.022     -.1193364    -.0093741
         gdpgr |    .0580067    .0527065      1.10    0.271     -.0452962     .1613096
         gdppc |   -5.06e-14    8.68e-13     -0.06    0.954     -1.75e-12     1.65e-12
    agri_share |   -.3074053    .2931912     -1.05    0.294     -.8820495     .2672389
       regqual |    .2697572     .632342      0.43    0.670     -.9696103     1.509125
tradegoodsdiff |     .037116    .0282271      1.31    0.189      -.018208     .0924401
      hwwidiff |    .0312175    .0047346      6.59    0.000      .0219378     .0404972
        fxdiff |   -.0389523    .0337043     -1.16    0.248     -.1050115     .0271068
      periodd1 |           0   (omitted)
      periodd2 |    .1415828    .2821873      0.50    0.616     -.4114941     .6946597
      periodd3 |    .0908382    .1842007      0.49    0.622     -.2701885      .451865
      periodd4 |           0   (omitted)
       ukdummy |     1.11207    .4896498      2.27    0.023      .1523742     2.071766
         _cons |   -.0968614    .9404757     -0.10    0.918      -1.94016     1.746437
---------------+----------------------------------------------------------------
       sigma_u |  .45843707
       sigma_e |  1.3185237
           rho |  .10785029   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. xtreg cpidiff fixeddiff gdpgr gdppc agri_share regqual tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        350
Group variable: co1                             Number of groups  =         28

R-sq:                                           Obs per group:
     within  = 0.4197                                         min =          4
     between = 0.2378                                         avg =       12.5
     overall = 0.4172                                         max =         14

                                                Wald chi2(10)     =          .
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =          .

(Replications based on 28 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0553593    .0247611     -2.24    0.025     -.1038902    -.0068285
         gdpgr |    .0419381    .0427366      0.98    0.326      -.041824     .1257003
         gdppc |    1.25e-15    3.70e-14      0.03    0.973     -7.12e-14     7.37e-14
    agri_share |   -.0361778    .0449474     -0.80    0.421     -.1242731     .0519175
       regqual |    .2682808    .1574798      1.70    0.088      -.040374     .5769356
tradegoodsdiff |    .0320978    .0218498      1.47    0.142     -.0107271     .0749227
      hwwidiff |    .0327694    .0041991      7.80    0.000      .0245394     .0409995
        fxdiff |   -.0449283    .0306006     -1.47    0.142     -.1049043     .0150478
      periodd1 |           0   (omitted)
      periodd2 |    .0857603     .180355      0.48    0.634      -.267729     .4392496
      periodd3 |    .1222858     .185899      0.66    0.511     -.2420696     .4866412
      periodd4 |           0   (omitted)
       ukdummy |    .9423963    .4051025      2.33    0.020      .1484099     1.736383
         _cons |   -.7916321    .3121611     -2.54    0.011     -1.403457    -.1798077
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.3185237
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. * Inflation in %
. sort iso_3 time

. by iso_3: gen inflation = ((cpi - cpi[_n-1])) / cpi[_n-1]
(31 missing values generated)

. xtreg inflation fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy, fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        373
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.0123                                         min =         10
     between = 0.0022                                         avg =       12.9
     overall = 0.0104                                         max =         15

                                                Wald chi2(9)      =          .
corr(u_i, Xb)  = -0.0309                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
      inflation |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.1639694    .2107951     -0.78    0.437     -.5771203     .2491814
    gdpgapdiff |    .1332068    .1513199      0.88    0.379     -.1633749     .4297884
tradegoodsdiff |    -.072023    .0986879     -0.73    0.466     -.2654478     .1214018
      hwwidiff |     .007977    .0154953      0.51    0.607     -.0223932     .0383473
        fxdiff |   -.0101428     .096436     -0.11    0.916     -.1991539     .1788683
      periodd1 |   -1.632601    1.986163     -0.82    0.411     -5.525408     2.260206
      periodd2 |    1.488603    1.136902      1.31    0.190      -.739684     3.716891
      periodd3 |    .2374096    .8131765      0.29    0.770     -1.356387     1.831206
      periodd4 |           0   (omitted)
       ukdummy |    2.359743    3.688165      0.64    0.522     -4.868928     9.588414
         _cons |    .2449947    .8183911      0.30    0.765     -1.359022     1.849012
---------------+----------------------------------------------------------------
       sigma_u |  1.8223512
       sigma_e |  7.2169797
           rho |  .05993897   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. xtreg inflation fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        373
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.0118                                         min =         10
     between = 0.0014                                         avg =       12.9
     overall = 0.0109                                         max =         15

                                                Wald chi2(9)      =       5.91
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.7488

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
      inflation |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.1539095    .1934826     -0.80    0.426     -.5331284     .2253093
    gdpgapdiff |    .1867545    .1651837      1.13    0.258     -.1369995     .5105086
tradegoodsdiff |   -.0562818    .0991027     -0.57    0.570     -.2505195     .1379558
      hwwidiff |    .0026863    .0139816      0.19    0.848     -.0247172     .0300897
        fxdiff |   -.0039702    .0745954     -0.05    0.958     -.1501745     .1422341
      periodd1 |   -.6785076     1.00202     -0.68    0.498      -2.64243     1.285415
      periodd2 |    1.418111    1.167135      1.22    0.224     -.8694323     3.705654
      periodd3 |    .2338148    .7974553      0.29    0.769     -1.329169     1.796798
      periodd4 |           0   (omitted)
       ukdummy |    1.885568    3.075641      0.61    0.540     -4.142578     7.913713
         _cons |    .2920868    .7945895      0.37    0.713      -1.26528     1.849454
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  7.2169797
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. * crisis dummy
. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   crisis ukdummy  , fe  vce(bootstrap, reps(300) seed(123) nodots)

Fixed-effects (within) regression               Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3772                                         min =         10
     between = 0.0172                                         avg =       12.9
     overall = 0.3709                                         max =         15

                                                Wald chi2(7)      =          .
corr(u_i, Xb)  = -0.0383                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0885121    .0325733     -2.72    0.007     -.1523547    -.0246696
    gdpgapdiff |    .0327752    .0652243      0.50    0.615     -.0950621     .1606125
tradegoodsdiff |    .0302702    .0305864      0.99    0.322      -.029678     .0902184
      hwwidiff |    .0312214    .0047395      6.59    0.000      .0219321     .0405106
        fxdiff |   -.0441555    .0323961     -1.36    0.173     -.1076506     .0193397
        crisis |   -.3269485    .1641211     -1.99    0.046       -.64862     -.005277
       ukdummy |    1.383159    .5925557      2.33    0.020      .2217714     2.544547
         _cons |   -.0990616    .1556245     -0.64    0.524     -.4040801     .2059568
---------------+----------------------------------------------------------------
       sigma_u |  .20011349
       sigma_e |  1.3759028
           rho |  .02071506   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   crisis ukdummy  , re vce(bootstrap, reps(300) seed(123) nodots)

Random-effects GLS regression                   Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3767                                         min =         10
     between = 0.0348                                         avg =       12.9
     overall = 0.3715                                         max =         15

                                                Wald chi2(7)      =     294.89
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0750065    .0316578     -2.37    0.018     -.1370546    -.0129584
    gdpgapdiff |    .0382861    .0602826      0.64    0.525     -.0798656     .1564378
tradegoodsdiff |    .0233575    .0229066      1.02    0.308     -.0215387     .0682537
      hwwidiff |    .0319083    .0038623      8.26    0.000      .0243383     .0394783
        fxdiff |   -.0467031    .0265198     -1.76    0.078      -.098681     .0052748
        crisis |   -.3122497    .1563086     -2.00    0.046      -.618609    -.0058904
       ukdummy |    1.271238     .515126      2.47    0.014      .2616097     2.280867
         _cons |   -.1336816    .1480496     -0.90    0.367     -.4238535     .1564904
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.3759028
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
.
. * 2nd table
.
. * Drop top and botton 1% percentile
. preserve

. drop if cpidiff < -7.090587 & cpidiff > 3.924559
(0 observations deleted)

. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy, fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3788                                         min =         10
     between = 0.0200                                         avg =       12.9
     overall = 0.3724                                         max =         15

                                                Wald chi2(9)      =          .
corr(u_i, Xb)  = -0.0413                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0940298      .03516     -2.67    0.007     -.1629421    -.0251175
    gdpgapdiff |    .0463136    .0665327      0.70    0.486     -.0840881     .1767153
tradegoodsdiff |    .0312897    .0306094      1.02    0.307     -.0287037     .0912831
      hwwidiff |    .0332272    .0045468      7.31    0.000      .0243155     .0421388
        fxdiff |   -.0441732    .0333568     -1.32    0.185     -.1095513     .0212049
      periodd1 |    .3931476    .2878132      1.37    0.172     -.1709559      .957251
      periodd2 |    .3920694    .1657531      2.37    0.018      .0671993     .7169394
      periodd3 |    .3606264    .2213357      1.63    0.103     -.0731836     .7944363
      periodd4 |           0   (omitted)
       ukdummy |    1.469517    .6107242      2.41    0.016      .2725199     2.666515
         _cons |   -.4896144    .0901006     -5.43    0.000     -.6662085    -.3130204
---------------+----------------------------------------------------------------
       sigma_u |  .20097121
       sigma_e |  1.3781398
           rho |  .02082296   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3782                                         min =         10
     between = 0.0456                                         avg =       12.9
     overall = 0.3731                                         max =         15

                                                Wald chi2(9)      =     265.85
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0771126    .0339662     -2.27    0.023     -.1436851    -.0105402
    gdpgapdiff |    .0485982    .0624934      0.78    0.437     -.0738867     .1710831
tradegoodsdiff |    .0236693    .0224983      1.05    0.293     -.0204266     .0677653
      hwwidiff |    .0340316     .003644      9.34    0.000      .0268896     .0411736
        fxdiff |   -.0472599    .0274354     -1.72    0.085     -.1010323     .0065126
      periodd1 |    .4638424    .2709804      1.71    0.087     -.0672694     .9949542
      periodd2 |    .3861731    .1604192      2.41    0.016      .0717573      .700589
      periodd3 |    .3187443    .2123276      1.50    0.133     -.0974102     .7348987
      periodd4 |           0   (omitted)
       ukdummy |    1.321519    .5268773      2.51    0.012      .2888583     2.354179
         _cons |   -.5108379     .090982     -5.61    0.000     -.6891594    -.3325164
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.3781398
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. restore

.
. * w/o UK dummy
. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  , fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3773                                         min =         10
     between = 0.0155                                         avg =       12.9
     overall = 0.3712                                         max =         15

                                                Wald chi2(8)      =     217.51
corr(u_i, Xb)  = -0.0361                        Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0764753    .0493033     -1.55    0.121      -.173108     .0201574
    gdpgapdiff |    .0451502    .0654041      0.69    0.490     -.0830395     .1733398
tradegoodsdiff |    .0295656    .0296717      1.00    0.319       -.02859     .0877211
      hwwidiff |    .0333258    .0045048      7.40    0.000      .0244965     .0421551
        fxdiff |   -.0443053    .0330996     -1.34    0.181     -.1091793     .0205688
      periodd1 |    .4057995    .2834509      1.43    0.152     -.1497541     .9613531
      periodd2 |    .3654214    .1827462      2.00    0.046      .0072454     .7235975
      periodd3 |    .3317908    .2433224      1.36    0.173     -.1451124      .808694
      periodd4 |           0   (omitted)
         _cons |   -.5066762    .0940202     -5.39    0.000     -.6909525    -.3223999
---------------+----------------------------------------------------------------
       sigma_u |  .19937894
       sigma_e |  1.3777957
           rho |  .02051108   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. xtreg cpidiff fixeddiff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        375
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3768                                         min =         10
     between = 0.0398                                         avg =       12.9
     overall = 0.3718                                         max =         15

                                                Wald chi2(8)      =     243.37
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
     fixeddiff |   -.0620741    .0445554     -1.39    0.164     -.1494012     .0252529
    gdpgapdiff |    .0479555    .0612937      0.78    0.434      -.072178      .168089
tradegoodsdiff |     .022436    .0216953      1.03    0.301     -.0200861     .0649581
      hwwidiff |     .034066    .0036372      9.37    0.000      .0269371     .0411949
        fxdiff |   -.0474091    .0273559     -1.73    0.083     -.1010256     .0062074
      periodd1 |    .4711434    .2683587      1.76    0.079       -.05483     .9971168
      periodd2 |     .363698    .1752049      2.08    0.038      .0203027     .7070933
      periodd3 |    .2949096    .2316722      1.27    0.203     -.1591596     .7489787
      periodd4 |           0   (omitted)
         _cons |   -.5252075    .0931114     -5.64    0.000     -.7077025    -.3427125
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.3777957
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. * 3rd table
. * All explanatory variables in levels
. xtreg cpidiff fixed gdp_gap_po_OECD tg hwwi_ fx periodd*  ukdummy , fe vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        406
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.2299                                         min =         11
     between = 0.4035                                         avg =       14.0
     overall = 0.1078                                         max =         16

                                                Wald chi2(9)      =          .
corr(u_i, Xb)  = -0.5651                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
------------------+----------------------------------------------------------------
                  |   Observed    Bootstrap                        Norm al-based
           cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
------------------+----------------------------------------------------------------
            fixed |   -.0961822    .0170504     -5.64    0.000     -.1296003    -.0627641
  gdp_gap_po_OECD |    .1776794    .0495377      3.59    0.000      .0805873     .2747715
tg_val_totl_gd_zs |    .0087326      .00952      0.92    0.359     -.0099263     .0273916
 hwwi_dollar_2005 |    .0245011    .0045239      5.42    0.000      .0156345     .0333677
               fx |   -.0196935    .0086698     -2.27    0.023     -.0366861     -.002701
         periodd1 |   -.3557679    .7000927     -0.51    0.611     -1.727924     1.016389
         periodd2 |   -.1399625    .5746819     -0.24    0.808     -1.266318     .9863934
         periodd3 |   -.4455026    .3938963     -1.13    0.258     -1.217525       .32652
         periodd4 |           0   (omitted)
          ukdummy |    1.205831    .4662274      2.59    0.010      .2920425      2.11962
            _cons |    .2261211    1.256753      0.18    0.857      -2.23707     2.689312
------------------+----------------------------------------------------------------
          sigma_u |   .7887421
          sigma_e |  1.5391289
              rho |  .20799314   (fraction of variance due to u_i)
------------------+----------------------------------------------------------------

. xtreg cpidiff fixed gdp_gap_po_OECD tg hwwi_ fx periodd*  ukdummy , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        406
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.1975                                         min =         11
     between = 0.0063                                         avg =       14.0
     overall = 0.1805                                         max =         16

                                                Wald chi2(9)      =      96.96
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
------------------+----------------------------------------------------------------
                  |   Observed    Bootstrap                        Norm al-based
           cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
------------------+----------------------------------------------------------------
            fixed |    -.018984     .010976     -1.73    0.084     -.0404965     .0025285
  gdp_gap_po_OECD |    .2185204    .0393195      5.56    0.000      .1414556     .2955851
tg_val_totl_gd_zs |    -.000463    .0017706     -0.26    0.794     -.0039334     .0030073
 hwwi_dollar_2005 |    .0170794    .0037993      4.50    0.000      .0096328      .024526
               fx |   -.0205074    .0076013     -2.70    0.007     -.0354057    -.0056092
         periodd1 |    .8507764    .7499441      1.13    0.257     -.6190871      2.32064
         periodd2 |    .6004771    .5681979      1.06    0.291     -.5131704     1.714125
         periodd3 |   -.4315388    .3794924     -1.14    0.255      -1.17533     .3122526
         periodd4 |           0   (omitted)
          ukdummy |   -.1226848    .2386071     -0.51    0.607     -.5903462     .3449766
            _cons |     .194346    1.028257      0.19    0.850        -1.821     2.209692
------------------+----------------------------------------------------------------
          sigma_u |          0
          sigma_e |  1.5391289
              rho |          0   (fraction of variance due to u_i)
------------------+----------------------------------------------------------------

.
.
. *4th table
.
. ********************
. * Mobile (last para)
. ********************
.
. gen mobile = ( _I271TWB  / population) *100
(429 missing values generated)

. sort iso_3 time

. by iso_3: gen mobilediff = mobile - mobile[_n-1]
(502 missing values generated)

. tab co1 if mobilediff != .

        Country |      Freq.     Percent        Cum.
----------------+-----------------------------------
      Australia |          3        3.06        3.06
        Austria |          2        2.04        5.10
        Belgium |          4        4.08        9.18
         Canada |          3        3.06       12.24
 Czech Republic |          3        3.06       15.31
        Denmark |          5        5.10       20.41
        Estonia |          4        4.08       24.49
        Finland |          4        4.08       28.57
         France |          3        3.06       31.63
        Germany |          3        3.06       34.69
         Greece |          2        2.04       36.73
        Hungary |          5        5.10       41.84
        Iceland |          4        4.08       45.92
        Ireland |          4        4.08       50.00
         Israel |          3        3.06       53.06
          Italy |          4        4.08       57.14
          Japan |          3        3.06       60.20
     Luxembourg |          3        3.06       63.27
         Mexico |          3        3.06       66.33
    Netherlands |          2        2.04       68.37
    New Zealand |          2        2.04       70.41
         Norway |          2        2.04       72.45
         Poland |          3        3.06       75.51
       Portugal |          2        2.04       77.55
Slovak Republic |          5        5.10       82.65
          Spain |          2        2.04       84.69
         Sweden |          5        5.10       89.80
    Switzerland |          2        2.04       91.84
 United Kingdom |          4        4.08       95.92
  United States |          4        4.08      100.00
----------------+-----------------------------------
          Total |         98      100.00

.
. xtreg cpidiff mobilediff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy, fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd2 omitted because of collinearity
note: periodd4 omitted because of collinearity
note: ukdummy omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =         93
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.5288                                         min =          1
     between = 0.1706                                         avg =        3.2
     overall = 0.4741                                         max =          5

                                                Wald chi2(6)      =      62.48
corr(u_i, Xb)  = -0.2130                        Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    mobilediff |    .0041771    .0113503      0.37    0.713     -.0180691     .0264232
    gdpgapdiff |    .2549341    .2006107      1.27    0.204     -.1382557     .6481239
tradegoodsdiff |   -.0423589    .0897896     -0.47    0.637     -.2183434     .1336256
      hwwidiff |    .0478537    .0144748      3.31    0.001      .0194836     .0762237
        fxdiff |   -.1711303    .0801474     -2.14    0.033     -.3282163    -.0140442
      periodd1 |           0   (omitted)
      periodd2 |           0   (omitted)
      periodd3 |    .7583536    1.118601      0.68    0.498     -1.434064     2.950772
      periodd4 |           0   (omitted)
       ukdummy |           0   (omitted)
         _cons |   -.6240361     .244029     -2.56    0.011     -1.102324     -.145748
---------------+----------------------------------------------------------------
       sigma_u |  .69779963
       sigma_e |  1.6924872
           rho |  .14528821   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. xtreg cpidiff mobilediff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , re vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd2 omitted because of collinearity
note: periodd4 omitted because of collinearity
note: ukdummy omitted because of collinearity

Random-effects GLS regression                   Number of obs     =         93
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.5204                                         min =          1
     between = 0.2282                                         avg =        3.2
     overall = 0.4852                                         max =          5

                                                Wald chi2(6)      =     107.85
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    mobilediff |    .0034891    .0092745      0.38    0.707     -.0146886     .0216667
    gdpgapdiff |    .2421433    .1585111      1.53    0.127     -.0685328     .5528194
tradegoodsdiff |   -.0061794    .0438833     -0.14    0.888      -.092189     .0798303
      hwwidiff |     .040715    .0096469      4.22    0.000      .0218074     .0596226
        fxdiff |   -.1281191    .0575653     -2.23    0.026      -.240945    -.0152933
      periodd1 |           0   (omitted)
      periodd2 |           0   (omitted)
      periodd3 |    1.093176    .8189929      1.33    0.182     -.5120205     2.698373
      periodd4 |           0   (omitted)
       ukdummy |           0   (omitted)
         _cons |   -.6453395    .1740078     -3.71    0.000     -.9863885    -.3042905
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.6924872
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

. reg cpidiff mobilediff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd2 omitted because of collinearity
note: periodd4 omitted because of collinearity
note: ukdummy omitted because of collinearity

Linear regression                               Number of obs     =         93
                                                Replications      =      2,000
                                                Wald chi2(6)      =      52.51
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.4852
                                                Adj R-squared     =     0.4493
                                                Root MSE          =     1.5256

---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    mobilediff |    .0034891    .0071561      0.49    0.626     -.0105366     .0175148
    gdpgapdiff |    .2421433    .1649031      1.47    0.142     -.0810608     .5653474
tradegoodsdiff |   -.0061794    .0378294     -0.16    0.870     -.0803235     .0679648
      hwwidiff |     .040715    .0093533      4.35    0.000      .0223828     .0590471
        fxdiff |   -.1281191    .0459825     -2.79    0.005     -.2182432    -.0379951
      periodd1 |           0   (omitted)
      periodd2 |           0   (omitted)
      periodd3 |    1.093176    .6097567      1.79    0.073     -.1019251     2.288277
      periodd4 |           0   (omitted)
       ukdummy |           0   (omitted)
         _cons |   -.6453395     .189566     -3.40    0.001     -1.016882     -.273797
---------------+----------------------------------------------------------------

. reg cpidiff mobilediff gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy , cl(co1)
note: periodd1 omitted because of collinearity
note: periodd2 omitted because of collinearity
note: periodd4 omitted because of collinearity
note: ukdummy omitted because of collinearity

Linear regression                               Number of obs     =         93
                                                F(6, 28)          =      24.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4852
                                                Root MSE          =     1.5256

(Std. Err. adjusted for 29 clusters in co1)
---------------+----------------------------------------------------------------
               |               Robust
        cpidiff |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    mobilediff |    .0034891    .0089011      0.39    0.698      -.014744     .0217222
    gdpgapdiff |    .2421433    .1551961      1.56    0.130     -.0757615     .5600481
tradegoodsdiff |   -.0061794    .0431782     -0.14    0.887      -.094626     .0822672
      hwwidiff |     .040715    .0096059      4.24    0.000      .0210382     .0603917
        fxdiff |   -.1281191    .0565671     -2.26    0.031     -.2439916    -.0122467
      periodd1 |           0   (omitted)
      periodd2 |           0   (omitted)
      periodd3 |    1.093176    .8097579      1.35    0.188     -.5655377      2.75189
      periodd4 |           0   (omitted)
       ukdummy |           0   (omitted)
         _cons |   -.6453395    .1728376     -3.73    0.001     -.9993813    -.2912977
---------------+----------------------------------------------------------------

.
. * Missings
. * systemic bias?
. gen md = .
(600 missing values generated)

. replace md = 1 if fixeddiff == .
(181 real changes made)

. replace md = 0 if fixeddiff != .
(419 real changes made)

. gen fixeddiff_ = fixeddiff
(181 missing values generated)

. replace fixeddiff_  = 0 if year < 2002 & fixeddiff == .
(175 real changes made)

.
. xtreg cpidiff fixeddiff_ gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy md , fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        454
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3133                                         min =         14
     between = 0.0340                                         avg =       15.7
     overall = 0.2984                                         max =         16

                                                Wald chi2(10)     =          .
corr(u_i, Xb)  = -0.0277                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    fixeddiff_ |   -.1003753    .0325918     -3.08    0.002      -.164254    -.0364965
    gdpgapdiff |    .0253887    .0737558      0.34    0.731     -.1191701     .1699475
tradegoodsdiff |    .0234739    .0226978      1.03    0.301      -.021013     .0679607
      hwwidiff |    .0358304      .00406      8.83    0.000       .027873     .0437878
        fxdiff |   -.0551155    .0282014     -1.95    0.051     -.1103891     .0001582
      periodd1 |    .2748977    .4023888      0.68    0.495     -.5137699     1.063565
      periodd2 |     .428707     .144445      2.97    0.003         .1456      .711814
      periodd3 |    .3645642    .2127442      1.71    0.087     -.0524067     .7815351
      periodd4 |           0   (omitted)
       ukdummy |    1.624237    .5207361      3.12    0.002      .6036125      2.64486
            md |   -.2969023    .3215668     -0.92    0.356     -.9271618     .3333571
         _cons |   -.5120273    .0964247     -5.31    0.000     -.7010163    -.3230383
---------------+----------------------------------------------------------------
       sigma_u |  .35048392
       sigma_e |  1.5049988
           rho |  .05144312   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. xtreg cpidiff fixeddiff_ gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy md , re  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        454
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3120                                         min =         14
     between = 0.0000                                         avg =       15.7
     overall = 0.2999                                         max =         16

                                                Wald chi2(10)     =     323.22
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    fixeddiff_ |   -.0704416    .0345241     -2.04    0.041     -.1381076    -.0027756
    gdpgapdiff |    .0247114     .071868      0.34    0.731     -.1161472       .16557
tradegoodsdiff |    .0123774    .0172932      0.72    0.474     -.0215166     .0462714
      hwwidiff |    .0371599     .003282     11.32    0.000      .0307274     .0435925
        fxdiff |   -.0608456    .0250738     -2.43    0.015     -.1099895    -.0117018
      periodd1 |    .2681445    .3906832      0.69    0.492     -.4975804     1.033869
      periodd2 |    .4045053    .1469062      2.75    0.006      .1165744     .6924362
      periodd3 |    .2880899    .2070836      1.39    0.164     -.1177865     .6939663
      periodd4 |           0   (omitted)
       ukdummy |    1.247883    .5017428      2.49    0.013      .2644851     2.231281
            md |   -.2521365    .3015346     -0.84    0.403     -.8431335     .3388605
         _cons |   -.5401627    .0969567     -5.57    0.000     -.7301944     -.350131
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.5049988
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
.
. * shortened time period
. xtreg cpidiff fixeddiff_ gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy if year > 2001 , fe  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd4 omitted because of collinearity

Fixed-effects (within) regression               Number of obs     =        340
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3912                                         min =         10
     between = 0.0031                                         avg =       11.7
     overall = 0.3849                                         max =         12

                                                Wald chi2(8)      =          .
corr(u_i, Xb)  = -0.0433                        Prob > chi2       =          .

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    fixeddiff_ |   -.0714609    .0329012     -2.17    0.030     -.1359461    -.0069757
    gdpgapdiff |    .0206289    .0721794      0.29    0.775     -.1208402     .1620979
tradegoodsdiff |    .0335775    .0332139      1.01    0.312     -.0315206     .0986755
      hwwidiff |    .0342751    .0048411      7.08    0.000      .0247866     .0437636
        fxdiff |   -.0361647    .0373855     -0.97    0.333     -.1094389     .0371095
      periodd1 |           0   (omitted)
      periodd2 |    .1497342    .1713964      0.87    0.382     -.1861966      .485665
      periodd3 |    .3154072    .2213257      1.43    0.154     -.1183831     .7491975
      periodd4 |           0   (omitted)
       ukdummy |     1.12233    .5960525      1.88    0.060     -.0459115     2.290571
         _cons |   -.5438851    .0915456     -5.94    0.000     -.7233112    -.3644591
---------------+----------------------------------------------------------------
       sigma_u |  .19331869
       sigma_e |  1.4116754
           rho |   .0184081   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. xtreg cpidiff fixeddiff_ gdpgapdiff tradegoodsdiff   hwwidiff fxdiff   periodd*  ukdummy if year > 2001 , re  vce(bootstrap, reps(2000) seed(123) nodots)
note: periodd1 omitted because of collinearity
note: periodd4 omitted because of collinearity

Random-effects GLS regression                   Number of obs     =        340
Group variable: co1                             Number of groups  =         29

R-sq:                                           Obs per group:
     within  = 0.3905                                         min =         10
     between = 0.0255                                         avg =       11.7
     overall = 0.3858                                         max =         12

                                                Wald chi2(8)      =     308.90
corr(u_i, X)   = 0 (assumed)                    Prob > chi2       =     0.0000

(Replications based on 29 clusters in co1)
---------------+----------------------------------------------------------------
               |   Observed    Bootstrap                        Norm al-based
        cpidiff |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
---------------+----------------------------------------------------------------
    fixeddiff_ |   -.0592148    .0303516     -1.95    0.051     -.1187029     .0002733
    gdpgapdiff |    .0271351      .06639      0.41    0.683     -.1029869     .1572571
tradegoodsdiff |    .0226101    .0235923      0.96    0.338       -.02363     .0688502
      hwwidiff |    .0354338    .0037508      9.45    0.000      .0280823     .0427853
        fxdiff |   -.0403105     .029871     -1.35    0.177     -.0988564     .0182355
      periodd1 |           0   (omitted)
      periodd2 |    .1361305    .1633592      0.83    0.405     -.1840477     .4563086
      periodd3 |    .2794856    .2112246      1.32    0.186      -.134507     .6934782
      periodd4 |           0   (omitted)
       ukdummy |    1.053616    .4917024      2.14    0.032      .0898974     2.017335
         _cons |   -.5537545    .0894046     -6.19    0.000     -.7289842    -.3785247
---------------+----------------------------------------------------------------
       sigma_u |          0
       sigma_e |  1.4116754
           rho |          0   (fraction of variance due to u_i)
---------------+----------------------------------------------------------------

.
. log close
      name:  <unnamed>
       log:  K:\Eigene Dateien\abgeschlossen\telecom_regulation_competition\2016 BB Inflation\Submission IREE\data_analysis\robusntess.smcl
  log type:  smcl
 closed on:  13 Apr 2018, 11:34:13
-------------