Dear STATA Community,
i am estimating following model using panel data with dummy control variables like religion colonial legacy and country fixed effects. i have one endogenous regressor and instrument variable. Although the results include weak instrument test but i am confused by post-estimation results with warning message "Warning: estimated covariance matrix......" and it also does not provide result of endogeniety test...


Code:
ivreg2 lninval (bm=msphund) popd polity2 lnpn religion i.colonyg i.ccode, cluster(ccode) endog(bm)

Code:
Warning - collinearities detected
Vars dropped:       14.ccode 16.ccode 33.ccode 36.ccode 40.ccode 43.ccode

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =        42                Number of obs =     1176
                                                      F( 45,    41) =     4.02
                                                      Prob > F      =   0.0000
Total (centered) SS     =  8782.392021                Centered R2   =   0.9527
Total (uncentered) SS   =  102392.8999                Uncentered R2 =   0.9959
Residual SS             =  415.5114745                Root MSE      =    .5944

------------------------------------------------------------------------------
             |               Robust
     lninval |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bm |  -.0550026   .0148295    -3.71   0.000    -.0840679   -.0259372
        popd |   -.000797   .0045606    -0.17   0.861    -.0097356    .0081416
     polity2 |  -.0221709   .0163135    -1.36   0.174    -.0541447    .0098029
        lnpn |   .6344185   .1019784     6.22   0.000     .4345445    .8342925
    religion |  -1.545679    .655505    -2.36   0.018    -2.830446   -.2609131
             |
     colonyg |
     France  |   .6188915   1.295867     0.48   0.633     -1.92096    3.158743
         GB  |   1.185666   1.627479     0.73   0.466    -2.004134    4.375467
      Italy  |   .8160768    1.44639     0.56   0.573    -2.018796     3.65095
   Portugal  |   .8450834    1.63738     0.52   0.606    -2.364123    4.054289
      Spain  |  -1.075271   1.421021    -0.76   0.449    -3.860421     1.70988
             |
       ccode |
          2  |  -.1374123   .2565583    -0.54   0.592    -.6402574    .3654327
          3  |  -.1817275   .3549695    -0.51   0.609     -.877455    .5139999
          4  |   .4715192   .7613694     0.62   0.536    -1.020737    1.963776
          5  |   -.344699   .3413542    -1.01   0.313    -1.013741     .324343
          6  |   .9443374   .6825825     1.38   0.167    -.3934998    2.282175
          7  |  -.3731629   .2848706    -1.31   0.190     -.931499    .1851732
          8  |  -.9599937   .3675614    -2.61   0.009    -1.680401   -.2395866
          9  |   .4102447   .7871616     0.52   0.602    -1.132564    1.953053
         10  |  -2.560205   .9727601    -2.63   0.008     -4.46678   -.6536305
         11  |  -.4878504   1.429966    -0.34   0.733    -3.290532    2.314831
         12  |  -1.076217   .3745986    -2.87   0.004    -1.810417   -.3420175
         13  |     .09228   .2410625     0.38   0.702    -.3801938    .5647538
         14  |          0  (omitted)
         15  |  -.9769211   .3463366    -2.82   0.005    -1.655728   -.2981138
         16  |          0  (omitted)
         17  |  -1.456316   .3746422    -3.89   0.000    -2.190601   -.7220305
         18  |   .0666229   .3060478     0.22   0.828    -.5332199    .6664656
         19  |  -.5456202   .4413525    -1.24   0.216    -1.410655    .3194149
         20  |   .6744012   .6622356     1.02   0.309    -.6235566    1.972359
         21  |  -.7752258   .2783507    -2.79   0.005    -1.320783   -.2296683
         22  |   .6843882   .1415277     4.84   0.000     .4069989    .9617774
         23  |  -.0550631   .3391241    -0.16   0.871     -.719734    .6096079
         24  |   -.588617   .4212288    -1.40   0.162     -1.41421    .2369764
         25  |  -.5324383   .6261119    -0.85   0.395    -1.759595    .6947185
         26  |    1.18508   .8053307     1.47   0.141     -.393339    2.763499
         27  |  -2.671196   .5901045    -4.53   0.000     -3.82778   -1.514612
         28  |   1.662388   2.332419     0.71   0.476     -2.90907    6.233846
         29  |   .7522117   .2014798     3.73   0.000     .3573185    1.147105
         30  |   .2789614   .4216059     0.66   0.508    -.5473709    1.105294
         31  |    .291211   .7230231     0.40   0.687    -1.125888     1.70831
         32  |   1.595191   .6150546     2.59   0.009     .3897066    2.800676
         33  |          0  (omitted)
         34  |  -4.751193   1.205532    -3.94   0.000    -7.113993   -2.388393
         35  |   .9146707   .5859546     1.56   0.119    -.2337793    2.063121
         36  |          0  (omitted)
         37  |   2.840891   .4285955     6.63   0.000     2.000859    3.680922
         39  |  -.6249982   .2278374    -2.74   0.006    -1.071551   -.1784452
         40  |          0  (omitted)
         41  |  -.7446223   .6522119    -1.14   0.254    -2.022934    .5336895
         42  |  -.6195256   .2473664    -2.50   0.012    -1.104355   -.1346965
         43  |          0  (omitted)
             |
       _cons |   3.131583   1.924318     1.63   0.104     -.640011    6.903177
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.031
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              228.980
                         (Kleibergen-Paap rk Wald F statistic):         36.294
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         bm
Included instruments: popd polity2 lnpn religion 2.colonyg 3.colonyg 4.colonyg
                      5.colonyg 6.colonyg 2.ccode 3.ccode 4.ccode 5.ccode
                      6.ccode 7.ccode 8.ccode 9.ccode 10.ccode 11.ccode 12.ccode
                      13.ccode 15.ccode 17.ccode 18.ccode 19.ccode 20.ccode
                      21.ccode 22.ccode 23.ccode 24.ccode 25.ccode 26.ccode
                      27.ccode 28.ccode 29.ccode 30.ccode 31.ccode 32.ccode
                      34.ccode 35.ccode 37.ccode 39.ccode 41.ccode 42.ccode
Excluded instruments: msphund
Dropped collinear:    14.ccode 16.ccode 33.ccode 36.ccode 40.ccode 43.ccode
------------------------------------------------------------------------------
therefore as mentioned in the ivre2 manual i reestimated the model with partial (varlist) option..now i have all the postestimation results but results for the dummy variables are omitted here which are important control variables ...i have very little information about the use and interpretation of the partial option, in this case how can i interpret like dummy variables...?
Code:
ivreg2 lninval (bm=msphund) popd polity2 lnpn religion i.colonyg i.ccode, cluster(ccode) endog(bm) partial(religion i.colonyg i.ccode)
the
Code:
Warning - collinearities detected
Vars dropped:       14.ccode 16.ccode 33.ccode 36.ccode 40.ccode 43.ccode

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =        42                Number of obs =     1176
                                                      F(  4,    41) =    15.74
                                                      Prob > F      =   0.0000
Total (centered) SS     =  427.3671414                Centered R2   =   0.0277
Total (uncentered) SS   =  427.3671414                Uncentered R2 =   0.0277
Residual SS             =  415.5114745                Root MSE      =    .5944

------------------------------------------------------------------------------
             |               Robust
     lninval |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bm |  -.0550026   .0148295    -3.71   0.000    -.0840679   -.0259372
        popd |   -.000797   .0045606    -0.17   0.861    -.0097356    .0081416
     polity2 |  -.0221709   .0163135    -1.36   0.174    -.0541447    .0098029
        lnpn |   .6344185   .1019784     6.22   0.000     .4345445    .8342925
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.031
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              228.980
                         (Kleibergen-Paap rk Wald F statistic):         36.294
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
-endog- option:
Endogeneity test of endogenous regressors:                              10.926
                                                   Chi-sq(1) P-val =    0.0009
Regressors tested:    bm
------------------------------------------------------------------------------
Instrumented:         bm
Included instruments: popd polity2 lnpn
Excluded instruments: msphund
Partialled-out:       religion 2.colonyg 3.colonyg 4.colonyg 5.colonyg
                      6.colonyg 2.ccode 3.ccode 4.ccode 5.ccode 6.ccode 7.ccode
                      8.ccode 9.ccode 10.ccode 11.ccode 12.ccode 13.ccode
                      15.ccode 17.ccode 18.ccode 19.ccode 20.ccode 21.ccode
                      22.ccode 23.ccode 24.ccode 25.ccode 26.ccode 27.ccode
                      28.ccode 29.ccode 30.ccode 31.ccode 32.ccode 34.ccode
                      35.ccode 37.ccode 39.ccode 41.ccode 42.ccode _cons
                      nb: total SS, model F and R2s are after partialling-out;
                          any small-sample adjustments include partialled-out
                          variables in regressor count K
Dropped collinear:    14.ccode 16.ccode 33.ccode 36.ccode 40.ccode 43.ccode
------------------------------------------------------------------------------
Once again i can have results but i have to drop the dummy variables
Code:
ivreg2 lninval (bm=msphund) popd polity2 lnpn, cluster(ccode) endog(bm)
the
Code:
IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =        42                Number of obs =     1176
                                                      F(  4,    41) =    45.28
                                                      Prob > F      =   0.0000
Total (centered) SS     =  8782.392021                Centered R2   =   0.7913
Total (uncentered) SS   =  102392.8999                Uncentered R2 =   0.9821
Residual SS             =  1833.020807                Root MSE      =    1.248

------------------------------------------------------------------------------
             |               Robust
     lninval |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bm |  -.0651777   .0147802    -4.41   0.000    -.0941463   -.0362092
        popd |   .0018691    .002672     0.70   0.484    -.0033679    .0071062
     polity2 |   .0688006     .02927     2.35   0.019     .0114326    .1261687
        lnpn |   .9762861   .0767105    12.73   0.000     .8259362    1.126636
       _cons |  -.5384446   .9718781    -0.55   0.580    -2.443291    1.366401
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             15.840
                                                   Chi-sq(1) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              131.399
                         (Kleibergen-Paap rk Wald F statistic):         28.588
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
-endog- option:
Endogeneity test of endogenous regressors:                              22.242
                                                   Chi-sq(1) P-val =    0.0000
Regressors tested:    bm
------------------------------------------------------------------------------
Instrumented:         bm
Included instruments: popd polity2 lnpn
Excluded instruments: msphund
------------------------------------------------------------------------------
Here once again re-estimated the model with "xi" prefix but the results are similar to the first case "warning......" and withoug endogeniety results
Code:
xi: ivreg2 lninval (bm=msphund) popd polity2 lnpn religion i.colonyg i.ccode, cluster(ccode) endog(bm)
the
Code:
i.colonyg         _Icolonyg_1-6       (naturally coded; _Icolonyg_1 omitted)
i.ccode           _Iccode_1-43        (naturally coded; _Iccode_1 omitted)
Warning - collinearities detected
Vars dropped:       _Iccode_14 _Iccode_16 _Iccode_33 _Iccode_36 _Iccode_38
                    _Iccode_40 _Iccode_43

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =        42                Number of obs =     1176
                                                      F( 45,    41) =     4.02
                                                      Prob > F      =   0.0000
Total (centered) SS     =  8782.392021                Centered R2   =   0.9527
Total (uncentered) SS   =  102392.8999                Uncentered R2 =   0.9959
Residual SS             =  415.5114745                Root MSE      =    .5944

------------------------------------------------------------------------------
             |               Robust
     lninval |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bm |  -.0550026   .0148295    -3.71   0.000    -.0840679   -.0259372
        popd |   -.000797   .0045606    -0.17   0.861    -.0097356    .0081416
     polity2 |  -.0221709   .0163135    -1.36   0.174    -.0541447    .0098029
        lnpn |   .6344185   .1019784     6.22   0.000     .4345445    .8342925
    religion |  -1.545679    .655505    -2.36   0.018    -2.830446   -.2609131
 _Icolonyg_2 |   .6188915   1.295867     0.48   0.633     -1.92096    3.158743
 _Icolonyg_3 |   1.185666   1.627479     0.73   0.466    -2.004134    4.375467
 _Icolonyg_4 |   .8160768    1.44639     0.56   0.573    -2.018796     3.65095
 _Icolonyg_5 |   .8450834    1.63738     0.52   0.606    -2.364123    4.054289
 _Icolonyg_6 |  -1.075271   1.421021    -0.76   0.449    -3.860421     1.70988
   _Iccode_2 |  -.1374123   .2565583    -0.54   0.592    -.6402574    .3654327
   _Iccode_3 |  -.1817275   .3549695    -0.51   0.609     -.877455    .5139999
   _Iccode_4 |   .4715192   .7613694     0.62   0.536    -1.020737    1.963776
   _Iccode_5 |   -.344699   .3413542    -1.01   0.313    -1.013741     .324343
   _Iccode_6 |   .9443374   .6825825     1.38   0.167    -.3934998    2.282175
   _Iccode_7 |  -.3731629   .2848706    -1.31   0.190     -.931499    .1851732
   _Iccode_8 |  -.9599937   .3675614    -2.61   0.009    -1.680401   -.2395866
   _Iccode_9 |   .4102447   .7871616     0.52   0.602    -1.132564    1.953053
  _Iccode_10 |  -2.560205   .9727601    -2.63   0.008     -4.46678   -.6536305
  _Iccode_11 |  -.4878504   1.429966    -0.34   0.733    -3.290532    2.314831
  _Iccode_12 |  -1.076217   .3745986    -2.87   0.004    -1.810417   -.3420175
  _Iccode_13 |     .09228   .2410625     0.38   0.702    -.3801938    .5647538
  _Iccode_14 |          0  (omitted)
  _Iccode_15 |  -.9769211   .3463366    -2.82   0.005    -1.655728   -.2981138
  _Iccode_16 |          0  (omitted)
  _Iccode_17 |  -1.456316   .3746422    -3.89   0.000    -2.190601   -.7220305
  _Iccode_18 |   .0666229   .3060478     0.22   0.828    -.5332199    .6664656
  _Iccode_19 |  -.5456202   .4413525    -1.24   0.216    -1.410655    .3194149
  _Iccode_20 |   .6744012   .6622356     1.02   0.309    -.6235566    1.972359
  _Iccode_21 |  -.7752258   .2783507    -2.79   0.005    -1.320783   -.2296683
  _Iccode_22 |   .6843882   .1415277     4.84   0.000     .4069989    .9617774
  _Iccode_23 |  -.0550631   .3391241    -0.16   0.871     -.719734    .6096079
  _Iccode_24 |   -.588617   .4212288    -1.40   0.162     -1.41421    .2369764
  _Iccode_25 |  -.5324383   .6261119    -0.85   0.395    -1.759595    .6947185
  _Iccode_26 |    1.18508   .8053307     1.47   0.141     -.393339    2.763499
  _Iccode_27 |  -2.671196   .5901045    -4.53   0.000     -3.82778   -1.514612
  _Iccode_28 |   1.662388   2.332419     0.71   0.476     -2.90907    6.233846
  _Iccode_29 |   .7522117   .2014798     3.73   0.000     .3573185    1.147105
  _Iccode_30 |   .2789614   .4216059     0.66   0.508    -.5473709    1.105294
  _Iccode_31 |    .291211   .7230231     0.40   0.687    -1.125888     1.70831
  _Iccode_32 |   1.595191   .6150546     2.59   0.009     .3897066    2.800676
  _Iccode_33 |          0  (omitted)
  _Iccode_34 |  -4.751193   1.205532    -3.94   0.000    -7.113993   -2.388393
  _Iccode_35 |   .9146707   .5859546     1.56   0.119    -.2337793    2.063121
  _Iccode_36 |          0  (omitted)
  _Iccode_37 |   2.840891   .4285955     6.63   0.000     2.000859    3.680922
  _Iccode_38 |          0  (omitted)
  _Iccode_39 |  -.6249982   .2278374    -2.74   0.006    -1.071551   -.1784452
  _Iccode_40 |          0  (omitted)
  _Iccode_41 |  -.7446223   .6522119    -1.14   0.254    -2.022934    .5336895
  _Iccode_42 |  -.6195256   .2473664    -2.50   0.012    -1.104355   -.1346965
  _Iccode_43 |          0  (omitted)
       _cons |   3.131583   1.924318     1.63   0.104     -.640011    6.903177
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.031
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              228.980
                         (Kleibergen-Paap rk Wald F statistic):         36.294
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         bm
Included instruments: popd polity2 lnpn religion _Icolonyg_2 _Icolonyg_3
                      _Icolonyg_4 _Icolonyg_5 _Icolonyg_6 _Iccode_2 _Iccode_3
                      _Iccode_4 _Iccode_5 _Iccode_6 _Iccode_7 _Iccode_8
                      _Iccode_9 _Iccode_10 _Iccode_11 _Iccode_12 _Iccode_13
                      _Iccode_15 _Iccode_17 _Iccode_18 _Iccode_19 _Iccode_20
                      _Iccode_21 _Iccode_22 _Iccode_23 _Iccode_24 _Iccode_25
                      _Iccode_26 _Iccode_27 _Iccode_28 _Iccode_29 _Iccode_30
                      _Iccode_31 _Iccode_32 _Iccode_34 _Iccode_35 _Iccode_37
                      _Iccode_39 _Iccode_41 _Iccode_42
Excluded instruments: msphund
Dropped collinear:    _Iccode_14 _Iccode_16 _Iccode_33 _Iccode_36 _Iccode_38
                      _Iccode_40 _Iccode_43
------------------------------------------------------------------------------
Can someone please guide me how to get all post-estimation results without dropping the dummies and fixed effect and worrying about the "warning....."

Code:
ivreg2 lninval (bm=msphund) popd polity2 lnpn religion i.colonyg i.ccode, cluster(ccode) endog(bm)
Thanks