Hello everyone,
I am currently working on my bachelor thesis and I am having a problem with output interpretation. I am new to this program as well and I am learning how to use it with the thesis I am writing. I running this regression:
xi: reg rca_v rca_c i.sector, r
where rca is the comparative advantage of Vietnam over a 15 years time frame, in 20 group of products, rca china is the same for China and i.sector is the dummies created for these 20 group of products I am considering. I know that the coefficients of the dummy variables are measured in comparison with the sector that stata omitted in order to run the regression, so that for example sector 6 is 6,56 times better at exporting its products, but I cannot insert this interpretation with the country comparison.
I thank everyone in advance for taking the time to read my question, I would be really grateful to anyone who would help me with the understanding of this problem...thank you!
Alexia
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I am currently working on my bachelor thesis and I am having a problem with output interpretation. I am new to this program as well and I am learning how to use it with the thesis I am writing. I running this regression:
xi: reg rca_v rca_c i.sector, r
where rca is the comparative advantage of Vietnam over a 15 years time frame, in 20 group of products, rca china is the same for China and i.sector is the dummies created for these 20 group of products I am considering. I know that the coefficients of the dummy variables are measured in comparison with the sector that stata omitted in order to run the regression, so that for example sector 6 is 6,56 times better at exporting its products, but I cannot insert this interpretation with the country comparison.
I thank everyone in advance for taking the time to read my question, I would be really grateful to anyone who would help me with the understanding of this problem...thank you!
Alexia
[HTML]
. xi: reg rca_v rca_c i.sector, r | ||
i.sector _Isector_1-20 | (_Isector_1 for sector==animal | omitted) |
Linear regression | Number of obs = | 320 |
F(20, 299) = | 157.00 | |
Prob > F = | 0.0000 | |
R-squared = | 0.9607 | |
Root MSE = | .7143 | |
|Robust | ||
rca_v | Coef. Std. Err. | t P>|t| [95% Conf. | Interval] |
rca_c | 1.522164 .3141637 | 4.85 0.000 .9039122 | 2.140416 |
_Isector_2 | -3.916549 .3693484 | -10.60 0.000 -4.6434 | -3.189697 |
_Isector_3 | -2.875985 .2018616 | -14.25 0.000 -3.273235 | -2.478736 |
_Isector_4 | -2.857842 .3585056 | -7.97 0.000 -3.563356 | -2.152328 |
_Isector_5 | -2.182294 .2021623 | -10.79 0.000 -2.580135 | -1.784453 |
_Isector_6 | 6.560848 1.641889 | 4.00 0.000 3.329726 | 9.79197 |
_Isector_7 | -1.282726 .2865632 | -4.48 0.000 -1.846662 | -.7187895 |
_Isector_8 | -3.006791 .216144 | -13.91 0.000 -3.432147 | -2.581435 |
_Isector_9 | -4.306507 .4645494 | -9.27 0.000 -5.220708 | -3.392307 |
_Isector_10 | -3.447117 .2559917 | -13.47 0.000 -3.95089 | -2.943343 |
_Isector_11 | -2.244465 .2230231 | -10.06 0.000 -2.683358 | -1.805571 |
_Isector_12 | -3.815585 .3967278 | -9.62 0.000 -4.596317 | -3.034852 |
_Isector_13 | -2.842299 .2330736 | -12.19 0.000 -3.300971 | -2.383626 |
_Isector_14 | -.619659 .2875194 | -2.16 0.032 -1.185477 | -.0538411 |
_Isector_15 | -4.45899 .9704257 | -4.59 0.000 -6.368719 | -2.54926 |
_Isector_16 | -2.858558 .2369532 | -12.06 0.000 -3.324865 | -2.392251 |
_Isector_17 | -2.627071 .7526744 | -3.49 0.001 -4.108281 | -1.145861 |
_Isector_18 | -2.614191 .210671 | -12.41 0.000 -3.028777 | -2.199605 |
_Isector_19 | .0892393 .2573679 | 0.35 0.729 -.4172426 | .5957213 |
_Isector_20 | -2.670938 .2141246 | -12.47 0.000 -3.09232 | -2.249556 |
_cons | 2.38135 .2390579 | 9.96 0.000 1.910901 | 2.851799 |
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