Dear all,
I have monthly data on stock market and when I tried to use Newey-West standard errors to deal with heteroskedasticity and autocorrelation, Stata says that there is no observation. Below is my -dataex- :
Here are the problematic results:
Why is there 'no observations'? Below is my 'normal' regression.
I have monthly data on stock market and when I tried to use Newey-West standard errors to deal with heteroskedasticity and autocorrelation, Stata says that there is no observation. Below is my -dataex- :
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int date float(csad r_mt abs_r_mt) 15341 . . . 15372 10.40015 -21.771555 21.771555 15400 3.6831214 1.3696393 1.3696393 15431 5.40642 6.454342 6.454342 15461 4.572629 -1.0483736 1.0483736 15492 3.924419 -12.194602 12.194602 15522 4.0851216 15.245831 15.245831 15553 4.421038 3.213805 3.213805 15584 1.545293 -.3501535 .3501535 15614 2.0632555 -4.6421685 4.6421685 15645 3.666877 -14.84067 14.84067 15675 4.5075574 -4.4080067 4.4080067 15706 1.8428906 -2.1559913 2.1559913 15737 2.49485 11.278244 11.278244 15765 2.1604996 -1.2514616 1.2514616 15796 4.3232718 -1.257523 1.257523 15826 10.606026 3.962764 3.962764 15857 5.112213 6.413789 6.413789 15887 4.484928 -4.856054 4.856054 15918 6.263611 6.968433 6.968433 15949 2.9614744 -.802722 .802722 15979 3.076989 -.8465761 .8465761 16010 10.489506 19.19976 19.19976 16040 3.4005265 -1.0016072 1.0016072 16071 8.629517 -.3082933 .3082933 16102 4.420031 7.663479 7.663479 16131 7.91593 1.8529012 1.8529012 16162 4.938119 1.0648 1.0648 16192 4.95072 -14.607905 14.607905 16223 3.8892744 3.9174936 3.9174936 16253 5.702363 -5.584903 5.584903 16284 7.320863 -5.576176 5.576176 16315 6.825109 -10.216467 10.216467 16345 3.911943 10.581155 10.581155 16376 8.563342 -8.825836 8.825836 16406 4.0248747 7.06366 7.06366 16437 6.767444 -8.656428 8.656428 16468 9.667854 5.605936 5.605936 16496 4.4664264 9.692858 9.692858 16527 12.659364 2.459548 2.459548 16557 11.2451 -4.35966 4.35966 16588 7.937766 -11.16009 11.16009 16618 5.769467 -4.593168 4.593168 16649 8.396846 2.259447 2.259447 16680 9.871736 2.2887776 2.2887776 16710 6.986581 -.5051034 .5051034 16741 7.922635 -16.813925 16.813925 16771 3.609957 2.732373 2.732373 16802 5.349097 .7332054 .7332054 16833 7.527323 23.25859 23.25859 16861 6.718209 3.0368414 3.0368414 16892 7.630779 4.88974 4.88974 16922 10.340603 5.886937 5.886937 16953 9.688768 8.262988 8.262988 16983 5.447178 -2.6733925 2.6733925 17014 6.039441 -5.767948 5.767948 17045 5.145508 2.8006885 2.8006885 17075 14.2246 10.567738 10.567738 17106 9.340332 5.390509 5.390509 17136 8.937711 10.640285 10.640285 17167 12.09225 13.240386 13.240386 17198 13.75918 4.6114182 4.6114182 17226 7.096007 7.630084 7.630084 17257 7.987866 7.694463 7.694463 17287 11.686085 16.659527 16.659527 17318 10.900064 4.312224 4.312224 17348 17.43714 2.0001624 2.0001624 17379 7.945005 13.660383 13.660383 17410 8.063833 -1.5955248 1.5955248 17440 5.245726 3.9520586 3.9520586 17471 8.522331 .4120224 .4120224 17501 5.714562 -10.72098 10.72098 17532 5.00455 .7190944 .7190944 17563 7.142439 -10.26564 10.26564 17592 6.609317 -1.1376902 1.1376902 17623 11.2239 -16.59991 16.59991 17653 8.833878 6.459142 6.459142 17684 6.001316 -4.918726 4.918726 17714 8.055031 -15.197256 15.197256 17745 8.108354 -2.220311 2.220311 17776 8.099585 -18.786123 18.786123 17806 10.02093 -19.74054 19.74054 17837 13.65648 -32.34998 32.34998 17867 8.914493 14.30076 14.30076 17898 6.74604 4.287829 4.287829 17929 5.719338 4.822899 4.822899 17957 6.543387 6.488205 6.488205 17988 5.720366 15.008144 15.008144 18018 6.967344 3.38667 3.38667 18049 7.954954 19.29539 19.29539 18079 6.887875 12.942645 12.942645 18110 6.234223 10.758305 10.758305 18141 5.344579 -17.07722 17.07722 18171 4.5722775 6.080737 6.080737 18202 5.578828 8.842843 8.842843 18232 9.408226 12.99844 12.99844 18263 4.6079955 .06648097 .06648097 18294 5.668927 -7.62164 7.62164 18322 3.139144 4.595733 4.595733 18353 4.2208114 4.677813 4.677813 end format %tm date
Code:
. tsset date, monthly time variable: date, 3238m6 to 3512m5, but with gaps delta: 1 month . newey csad c.abs_r_mt##c.abs_r_mt, lag(1) force no observations r(2000); .
Code:
. reg csad c.abs_r_mt##c.abs_r_mt Source | SS df MS Number of obs = 108 -------------+---------------------------------- F(2, 105) = 6.12 Model | 93.9271731 2 46.9635866 Prob > F = 0.0031 Residual | 805.43128 105 7.67077409 R-squared = 0.1044 -------------+---------------------------------- Adj R-squared = 0.0874 Total | 899.358453 107 8.40521918 Root MSE = 2.7696 ------------------------------------------------------------------------------ csad | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- abs_r_mt | .043472 .1171705 0.37 0.711 -.1888554 .2757994 | c.abs_r_mt#| c.abs_r_mt | .0046852 .0049204 0.95 0.343 -.0050709 .0144414 | _cons | 6.077043 .5529866 10.99 0.000 4.980573 7.173513 ------------------------------------------------------------------------------
Comment