Q - A problem with qregpd: a Quantile Regression in an Unbalanced Panel Data set

Hi everyone,

I am trying to perform a Quantile Regression with an unbalanced panel data set, to find out whether the effect of IDV on Gini differs in the .25th and the .75th quantile.
Therefore, I downloaded the following package:

Code:

qregpd

I entered the following command:

Code:

qregpd Gini_DispSWIID IDV GLPIntensity InflationGDPdeflatorannual Ruralpopulation LevelofdemocracyPolityV Populationgrowthannual TradeofGDP Schoolenrollmentsecondary GDPgrowthannual Wageandsalariedworkerstotal Currenthealthexpenditureof Arablelandoftotal, id(Country_ID) fix(Year) quantile(.75)

However, I obtain the following output:

Code:

. qregpd Gini_DispSWIID IDV GLPIntensity InflationGDPdeflatorannual Ruralpopulation Levelofdemocr
> acyPolityV Populationgrowthannual TradeofGDP Schoolenrollmentsecondary GDPgrowthannual Wageands
> alariedworkerstotal Currenthealthexpenditureof Arablelandoftotal, id(Country_ID) fix(Year) quan
> tile(.75)
Nelder-Mead optimization
initial:       f(p) = -87.285174
rescale:       f(p) = -87.285174
Iteration 0:   f(p) = -87.285174  
Iteration 1:   f(p) = -5.0307519  
Iteration 2:   f(p) = -.78734938  
Iteration 3:   f(p) = -.78734938  
Iteration 4:   f(p) = -.78734938  
Iteration 5:   f(p) = -.78734938  
Iteration 6:   f(p) = -.78734938  
Iteration 7:   f(p) = -.78734938  
Iteration 8:   f(p) = -.78734938  
Iteration 9:   f(p) = -.78734938  
Iteration 10:  f(p) = -.78734938  
Iteration 11:  f(p) = -.78734938  
Iteration 12:  f(p) = -.78734938  
Iteration 13:  f(p) = -.78734938  
Iteration 14:  f(p) = -.78734938  
Iteration 15:  f(p) = -.78734938  
Iteration 16:  f(p) = -.78734938  
Iteration 17:  f(p) =  -.6038165  
Iteration 18:  f(p) =  -.6038165  
Iteration 19:  f(p) =  -.6038165  
Iteration 20:  f(p) =  -.6038165  
Iteration 21:  f(p) =  -.6038165  
Iteration 22:  f(p) =  -.6038165  
Iteration 23:  f(p) =  -.6038165  
Iteration 24:  f(p) =  -.6038165  
Iteration 25:  f(p) =  -.6038165  
Iteration 26:  f(p) =  -.6038165  
Iteration 27:  f(p) =  -.6038165  
Iteration 28:  f(p) =  -.6038165  
Iteration 29:  f(p) =  -.6038165  
Iteration 30:  f(p) =  -.6038165  
Iteration 31:  f(p) =  -.6038165  
Iteration 32:  f(p) =  -.6038165  
Iteration 33:  f(p) =  -.6038165  
Iteration 34:  f(p) =  -.6038165  
Iteration 35:  f(p) =  -.6038165  
Iteration 36:  f(p) =  -.6038165  
Iteration 37:  f(p) =  -.6038165  
Iteration 38:  f(p) =  -.6038165  
Iteration 39:  f(p) =  -.6038165  
Iteration 40:  f(p) =  -.6038165  
Iteration 41:  f(p) =  -.6038165  
Iteration 42:  f(p) =  -.6038165  
Iteration 43:  f(p) =  -.6038165  
Iteration 44:  f(p) =  -.6038165  
Iteration 45:  f(p) =  -.6038165  
Iteration 46:  f(p) =  -.6038165  
Iteration 47:  f(p) =  -.6038165  
Iteration 48:  f(p) =  -.6038165  


Quantile Regression for Panel Data (QRPD)
     Number of obs:               301
     Number of groups:             19
     Min obs per group:            11
     Max obs per group:            19
---------------------------------------------------------------------------------------------
             Gini_DispSWIID | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
----------------------------+----------------------------------------------------------------
                        IDV |  -.0515317          .        .       .            .           .
               GLPIntensity |  -118.5223          .        .       .            .           .
 InflationGDPdeflatorannual |  -.2093337          .        .       .            .           .
   Ruralpopulationasaoftota |  -23.02208          .        .       .            .           .
    LevelofdemocracyPolityV |   .8931058          .        .       .            .           .
     Populationgrowthannual |   1.354606          .        .       .            .           .
                 TradeofGDP |   .0269068    .235968     0.11   0.909     -.435582    .4893956
  Schoolenrollmentsecondary |   -.021503   .0731588    -0.29   0.769    -.1648916    .1218855
            GDPgrowthannual |   .1055383          .        .       .            .           .
Wageandsalariedworkerstotal |  -.3813951          .        .       .            .           .
 Currenthealthexpenditureof |   .8699441          .        .       .            .           .
          Arablelandoftotal |   4.889251          .        .       .            .           .
---------------------------------------------------------------------------------------------
No excluded instruments - standard QRPD estimation.

As you can see a lot of output is missing. Could you help me to solve this problem?

Thank you so much.

Kind regards,
Matthew