Hi all,
  • I have run quantile regression model for my analysis (My dependent variable is z score ) and I was getting the following results .Can any one help why I am getting the coefficients value like this
    liquidityratio | -2.66e-15 .0000216 -0.00 1.000 -.0000423 .0000423)
capitalratio | 2.39e-15 1.89e-06 0.00 1.000 -3.72e-06 3.72e-06)
I am having unbalanced panel data from 2005 to 2019 and the version of stata I am using is 13.

Code:
qreg lzscore d_callmoneyrate cbt liquidityratio capitalratio  boone_ind  i.year b3.i.Ownership,quantile(.75)

Code:
1: sum of abs. weighted deviations = 1.0012184
Iteration 2: sum of abs. weighted deviations = 1.0012184
Iteration 3: sum of abs. weighted deviations = 1.0012184
Iteration 4: sum of abs. weighted deviations = 1.0012184
Iteration 5: sum of abs. weighted deviations = 1.0012184
Iteration 6: sum of abs. weighted deviations = 1.0012184
Iteration 7: sum of abs. weighted deviations = 1.0012184
Iteration 8: sum of abs. weighted deviations = 1.0012184
Iteration 9: sum of abs. weighted deviations = 1.0012184
Iteration 10: sum of abs. weighted deviations = 1.0012184
Iteration 11: sum of abs. weighted deviations = 1.0012184
Iteration 12: sum of abs. weighted deviations = 1.0012184
Iteration 13: sum of abs. weighted deviations = 1.0012184
Iteration 14: sum of abs. weighted deviations = 1.0012184
Iteration 15: sum of abs. weighted deviations = 1.0012184
Iteration 16: sum of abs. weighted deviations = 1.0012184
Iteration 17: sum of abs. weighted deviations = 1.0012184
Iteration 18: sum of abs. weighted deviations = 1.0012184
Iteration 19: sum of abs. weighted deviations = 1.0012184
Iteration 20: sum of abs. weighted deviations = 1.0012184
Iteration 21: sum of abs. weighted deviations = 1.0012184
Iteration 22: sum of abs. weighted deviations = 1.0012184
note: alternate solutions exist
Iteration 23: sum of abs. weighted deviations = 1.0012184
Iteration 24: sum of abs. weighted deviations = 1.0012184
Iteration 25: sum of abs. weighted deviations = 1.0012184
Iteration 26: sum of abs. weighted deviations = 1.0012184
Iteration 27: sum of abs. weighted deviations = 1.0012184
Iteration 28: sum of abs. weighted deviations = 1.0012184
Iteration 29: sum of abs. weighted deviations = 1.0012184
Iteration 30: sum of abs. weighted deviations = 1.0012184
Iteration 31: sum of abs. weighted deviations = 1.0012184
Iteration 32: sum of abs. weighted deviations = 1.0012184
Iteration 33: sum of abs. weighted deviations = 1.0012184
Iteration 34: sum of abs. weighted deviations = 1.0012184
Iteration 35: sum of abs. weighted deviations = 1.0012184
note: alternate solutions exist
Iteration 36: sum of abs. weighted deviations = 1.0012184
Iteration 37: sum of abs. weighted deviations = 1.0012184
Iteration 38: sum of abs. weighted deviations = 1.0012184
Iteration 39: sum of abs. weighted deviations = 1.0012184
Iteration 40: sum of abs. weighted deviations = 1.0012184
Iteration 41: sum of abs. weighted deviations = 1.0012184
Iteration 42: sum of abs. weighted deviations = 1.0012184
Iteration 43: sum of abs. weighted deviations = 1.0012184
Iteration 44: sum of abs. weighted deviations = 1.0012184
Iteration 45: sum of abs. weighted deviations = 1.0012184
Iteration 46: sum of abs. weighted deviations = 1.0012184
Iteration 47: sum of abs. weighted deviations = 1.0012184
Iteration 48: sum of abs. weighted deviations = 1.0012184
Iteration 49: sum of abs. weighted deviations = 1.0012184
Iteration 50: sum of abs. weighted deviations = 1.0012184
Iteration 51: sum of abs. weighted deviations = 1.0012184
Iteration 52: sum of abs. weighted deviations = 1.0012184
Iteration 53: sum of abs. weighted deviations = 1.0012184
Iteration 54: sum of abs. weighted deviations = .99857706
Iteration 55: sum of abs. weighted deviations = .99857707
Iteration 56: sum of abs. weighted deviations = .99857707
Iteration 57: sum of abs. weighted deviations = .99857707
Iteration 58: sum of abs. weighted deviations = .99857707
Iteration 59: sum of abs. weighted deviations = .99857707
Iteration 60: sum of abs. weighted deviations = .99857707
Iteration 61: sum of abs. weighted deviations = .99857707
Iteration 62: sum of abs. weighted deviations = .99857707
Iteration 63: sum of abs. weighted deviations = .99857707
Iteration 64: sum of abs. weighted deviations = .99857707
Iteration 65: sum of abs. weighted deviations = .99857707
Iteration 66: sum of abs. weighted deviations = .99857707
Iteration 67: sum of abs. weighted deviations = .99857707
Iteration 68: sum of abs. weighted deviations = .99857707
Iteration 69: sum of abs. weighted deviations = .99857707
note: alternate solutions exist
Iteration 70: sum of abs. weighted deviations = .99857707
Iteration 71: sum of abs. weighted deviations = .99857707
Iteration 72: sum of abs. weighted deviations = .99857707
Iteration 73: sum of abs. weighted deviations = .99857707
Iteration 74: sum of abs. weighted deviations = .99857707
Iteration 75: sum of abs. weighted deviations = .99857707
Iteration 76: sum of abs. weighted deviations = .99857707
Iteration 77: sum of abs. weighted deviations = .99857707
Iteration 78: sum of abs. weighted deviations = .99857707
Iteration 79: sum of abs. weighted deviations = .99857707
Iteration 80: sum of abs. weighted deviations = .99857707
Iteration 81: sum of abs. weighted deviations = .99857707
Iteration 82: sum of abs. weighted deviations = .99857707
Iteration 83: sum of abs. weighted deviations = .99857707
Iteration 84: sum of abs. weighted deviations = .99857707
note: alternate solutions exist
Iteration 85: sum of abs. weighted deviations = .99857707
Iteration 86: sum of abs. weighted deviations = .99857707
Iteration 87: sum of abs. weighted deviations = .99857707
Iteration 88: sum of abs. weighted deviations = .99857707
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Iteration 97: sum of abs. weighted deviations = .99857707
Iteration 98: sum of abs. weighted deviations = .99857707
Iteration 99: sum of abs. weighted deviations = .99857707
Iteration 100: sum of abs. weighted deviations = .99857707
Iteration 101: sum of abs. weighted deviations = .99857707
Iteration 102: sum of abs. weighted deviations = .99857707
Iteration 103: sum of abs. weighted deviations = .99857707
Iteration 104: sum of abs. weighted deviations = .99857707
Iteration 105: sum of abs. weighted deviations = .99857707
Iteration 106: sum of abs. weighted deviations = .99857707
Iteration 107: sum of abs. weighted deviations = .99857707
Iteration 108: sum of abs. weighted deviations = .99857707
Iteration 109: sum of abs. weighted deviations = .99857707
Iteration 110: sum of abs. weighted deviations = .99857707
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Iteration 117: sum of abs. weighted deviations = .99857707
Iteration 118: sum of abs. weighted deviations = .99857707
Iteration 119: sum of abs. weighted deviations = .99857707
note: alternate solutions exist
Iteration 120: sum of abs. weighted deviations = .99857707
Iteration 121: sum of abs. weighted deviations = .99857707
Iteration 122: sum of abs. weighted deviations = .99857707
Iteration 123: sum of abs. weighted deviations = .99857707
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Iteration 130: sum of abs. weighted deviations = .99857707
Iteration 131: sum of abs. weighted deviations = .99857707
Iteration 132: sum of abs. weighted deviations = .99857707
Iteration 133: sum of abs. weighted deviations = .99857707
note: alternate solutions exist
Iteration 134: sum of abs. weighted deviations = .99857707
Iteration 135: sum of abs. weighted deviations = .99857707
Iteration 136: sum of abs. weighted deviations = .99857707
Iteration 137: sum of abs. weighted deviations = .99857707
Iteration 138: sum of abs. weighted deviations = .99857707
Iteration 139: sum of abs. weighted deviations = .99857707
Iteration 140: sum of abs. weighted deviations = .99857707

.75 Quantile regression Number of obs = 668
Raw sum of deviations 14.14775 (about 2.8485887)
Min sum of deviations .9985771 Pseudo R2 = 0.9294

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lzscore | Coef. Std. Err. t P>|t| [95% Conf. Interval]
----------------+----------------------------------------------------------------
d_callmoneyrate | .0049514 5.58e-06 887.78 0.000 .0049404 .0049623
cbt | -. 0754216 .0000113 -6698.19 0.000 -.0754437 -.0753995
liquidityratio | - 2.66e-15 .0000216 -0.00 1.000 -.0000423 .0000423
capitalratio | 2.39e-15 1.89e-06 0.00 1.000 -3.72e-06 3.72e-06
boone_ind | -9.612454 .0012039 -7984.10 0.000 -9.614818 -9.610089
|
year |
2007 | -.0525431 .0000165 -3186.64 0.000 -.0525755 -.0525107
2008 | .0113484 .0000122 929.07 0.000 .0113244 .0113724
2009 | .093073 .0000305 3054.54 0.000 .0930132 .0931329
2010 | .2512173 .0000247 1.0e+04 0.000 .2511687 .2512658
2011 | .3415542 .0000371 9209.70 0.000 .3414814 .341627
2012 | .1348242 .0000179 7548.53 0.000 .1347891 .1348593
2013 | 0 (omitted)
2014 | 0 (omitted)
|
Ownership |
Foreign Bank | -2.92e-16 7.65e-06 -0.00 1.000 -.000015 .000015
Private Sector | -2.32e-17 7.08e-06 -0.00 1.000 -.0000139 .0000139
|
_cons | 5.503066 .0003346 1.6e+04 0.000 5.502409 5.503723
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Any help is highly appreciated