Dear Stata users,
I am currently running the nlsur command to estimate a system of 2 equations using the following syntax:
The equation (1) is the forecasting equation: c_fsinc = {a0} + {a1}*c_stacc + {a2}*c_stocf
The equation (2) is the pricing equation: c_sizeret = {beta1}*(c_fsinc -{a0s}-{a1s}*c_stacc - {a2s}*c_stocf
and this is what I got:
I am new to Stata and I am not sure how to fix this error. As I knew that Stata excludes missing values when regressing, so I guess there might be something to do with the initial values.
I am not sure about how to proceed from here. Any help and suggestion will be very much appreciated.
Sincerely yours,
Khanh
This is the data generated by -dataex-:
I am currently running the nlsur command to estimate a system of 2 equations using the following syntax:
Code:
nlsur (c_fsinc = {a0} + {a1}*c_stacc + {a2}*c_stocf)(c_sizeret = {beta1}*(c_fsinc -{a0s}-{a1s}*c_stacc - {a2s}*c_stocf)), vce(cluster time)
The equation (2) is the pricing equation: c_sizeret = {beta1}*(c_fsinc -{a0s}-{a1s}*c_stacc - {a2s}*c_stocf
and this is what I got:
Code:
Calculating NLS estimates... could not evaluate equation 1 starting values invalid or some RHS variables have missing values r(480);
I am not sure about how to proceed from here. Any help and suggestion will be very much appreciated.
Sincerely yours,
Khanh
This is the data generated by -dataex-:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int(unit_id time) float(c_fsinc c_stacc c_stocf c_sizeret) 1 2000 11.095 . 44.008 3.044987 1 2001 5.583 -.0874317 5.224 -.1652283 1 2002 3.861 .29353163 -42.801 -.4231709 1 2003 -4.064 -.15650004 10.2003 -.54456735 1 2004 -13.577 .02961883 -8.937 -.29095754 1 2005 .6989 -.27193496 7.805 3.436494 1 2006 -9.2673 -.14769301 4.6517 3.818903 1 2007 -11.1224 -.14354037 -8.7062 5.257833 1 2008 2.4688 -.0722658 -1.1474 3.1859944 1 2009 11.6241 -.1986534 45.4037 1.705382 1 2010 2.9899 .11853852 -11.8675 .1003933 1 2011 2.0053 -.05195754 19.3657 -.4316798 1 2012 -1.0334 .16627726 17.5627 -.09248185 1 2013 3.8014 .02308112 -21.0423 .3205987 1 2014 1.2471 .09067812 -5.5341 .23287398 1 2015 39.2993 .003675696 9.4619 1.84437 1 2016 8.5667 -.2839655 140.423 -.12539318 1 2017 . -.12699409 14.4395 -.6051657 2 2000 -124.622 .20785487 9.1339 1.8036478 2 2001 -10.71 -.3467585 -5.3689 -.8658409 2 2002 .987 .0822746 .317 -.3857885 2 2003 38.588 .019928 15.924 -.29408288 2 2004 -5.266 .4997058 -9.562 .10540456 2 2005 -1.7561 -.24746884 14.5 3.3120015 2 2006 1.6822 .10150523 6.1509 3.854261 2 2007 .748 -.15123634 12.9634 5.8056 2 2008 .3135 .08393575 1.4254 3.184806 2 2009 .8889 .034479022 4.1066 5.606124 2 2010 33.9895 -.14203873 -.385 -.1284118 2 2011 39.129 -.25330418 103.386 -.04299143 2 2012 22.758 -.04573207 86.7555 3.895035 2 2013 7.7678 -.02250768 66.8851 .845217 2 2014 185.671 -.08318695 69.7514 5.885801 2 2015 521.866 .3290931 -62.7312 7.409277 2 2016 873.781 .18091014 -39.1415 4.887175 2 2017 . .1497909 -15.7663 4.142799 3 2000 26.6242 -.20521878 -33.397 5.215007 3 2001 13.5809 -.05240782 240.861 4.782817 3 2002 12.91 .04881822 14.756 5.120404 3 2003 16.844 .04537622 -39.653 4.996433 3 2004 71.8039 -.05788913 43.242 4.856194 3 2005 135.634 -.0755362 429.297 4.0577707 3 2006 230.389 -.06104685 129.678 5.03461 3 2007 200.381 .05176217 -232.24 7.855485 3 2008 253.46 .04361181 554.182 3.6344376 3 2009 325.476 -.04361504 515.166 6.992318 3 2010 269.923 .1736856 -654.929 5.62332 3 2011 160.461 .1279638 -1120.65 4.7459702 3 2012 292.4 .014459985 -72.1783 4.903387 3 2013 303.325 -.005289631 -299.214 5.330762 3 2014 750.495 .0012534356 170.046 6.734075 3 2015 233.384 .1027608 -383.128 5.482848 3 2016 133.204 .12325507 -388.045 4.874717 3 2017 . .01924204 -160.627 4.081945 4 2000 1.755 . -28.226 .7562572 4 2001 12.143 . 22.629 -.3611049 4 2002 7.031 .021934465 50.347 3.599008 4 2003 -14.997 .1994297 -157.781 3.511429 4 2004 -81.2912 -.1859179 -14.998 3.6600254 4 2005 4.1603 -.2982836 3.5313 3.4637 4 2006 -28.8689 .16106696 3.8836 1.0714513 4 2007 15.8154 -.15661116 22.3851 2.0610507 4 2008 7.3919 .070336886 3.6043 -.7715604 4 2009 -1.0431 .001318937 12.0977 1.194843 4 2010 5.0148 .011088284 -10.3319 .12995148 4 2011 37.8202 .016581232 5.0777 .16719593 4 2012 3.1401 .22159834 -8.2186 1.892415 4 2013 -74.5532 .031706214 .7513 3.841636 4 2014 33.4436 -.0662543 -118.064 1.5790174 4 2015 39.8771 .3191679 -410.522 2.3134086 4 2016 -1061.43 .05887472 -182.278 1.70993 4 2017 . .04516191 513.08 3.060521 5 2000 153.207 -.4568579 292.581 7.921634 5 2001 162.802 -.04799785 308.812 3.682178 5 2002 202.632 -.04271837 285.899 2.334574 5 2003 337.806 -.04614428 395.42 2.427877 5 2004 316.411 -.05078634 532.241 4.3948708 5 2005 332.112 -.04960303 532.241 3.995865 5 2006 431.485 -.18311357 665.837 6.477026 5 2007 420.08 .04067595 906.812 3.5393586 5 2008 831.944 -.07130431 800.488 2.0022154 5 2009 1455.21 -.0417543 1502.44 5.509697 5 2010 1178.23 -.02768715 2229.47 4.916965 5 2011 274.746 -.05705725 1461.88 2.061875 5 2012 1535.93 -.04438705 1444.83 4.1144814 5 2013 873.653 -.02075426 1456.53 2.5898175 5 2014 532.653 -.06572313 1196.18 .9744867 5 2015 797.722 -.04347397 1096.23 3.1049085 5 2016 825.388 -.03354574 1956.05 2.4525535 5 2017 . -.07137262 2115.06 2.308459 6 2000 -707.018 .358442 229.842 .9246945 6 2001 43.123 -.29042542 1805.72 .42337635 6 2002 101.071 -.06911801 963.539 .701834 6 2003 142.549 .18138306 345.782 .8659249 6 2004 19.552 .08003017 -354.695 .6883366 6 2005 96.7749 -.05598192 -81.535 .5126982 6 2006 207.092 .06734498 178.829 1.0426645 6 2007 267.68 -.05472161 -25.5691 2.0497851 6 2008 151.671 -.08230114 277.008 .5703058 6 2009 83.9479 -.017399611 263.371 2.3021162 end
Comment