I performed a fixed effects regression but only got around 7'000 observations when I should get more than 100'000.
I am using stata 15.
For extra information, I am using panel data to see the effects that the act of internal migration has on a person's subjective well being.
I think an issue is that I am using the explanatory variable M0 ( shows if the person internally migrated) and its lags and leads ( e.t.c L3.M0, F3.M0). The problem is that as I created this from the original variable (Movest) which includes options such as 'new entrant' and 'moved back to GB', will this affect my results ( because I seem to ignore if they were a new entrant or moved back to UK) and are there recommended solutions I can do for this?
This is what I got from the command:
and here is a snippet of my data:
This follows on from where I got rid of individuals that migrated multiple time
https://www.statalist.org/forums/for...multiple-times
Thanks for the help.
I am using stata 15.
For extra information, I am using panel data to see the effects that the act of internal migration has on a person's subjective well being.
I think an issue is that I am using the explanatory variable M0 ( shows if the person internally migrated) and its lags and leads ( e.t.c L3.M0, F3.M0). The problem is that as I created this from the original variable (Movest) which includes options such as 'new entrant' and 'moved back to GB', will this affect my results ( because I seem to ignore if they were a new entrant or moved back to UK) and are there recommended solutions I can do for this?
This is what I got from the command:
xtreg lfsato age nkids mastat L5.M0 L4.M0 L3.M0 L2.M0 L1.M0 M0 F1.M0 F2.M0 F3.M0 F4.M0 F5.M0, fe
HTML Code:
Fixed-effects (within) regression Number of obs = 7,667
Group variable: pid Number of groups = 4,027
R-sq: Obs per group:
within = 0.0083 min = 1
between = 0.0274 avg = 1.9
overall = 0.0238 max = 2
F(14,3626) = 2.17
corr(u_i, Xb) = -0.4845 Prob > F = 0.0068
------------------------------------------------------------------------------
lfsato | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
age | .0483116 .0175464 2.75 0.006 .0139098 .0827133
nkids | -.1035138 .0644501 -1.61 0.108 -.229876 .0228483
mastat | -.0206515 .0396681 -0.52 0.603 -.0984256 .0571225
|
M0 |
L5. | .1455779 .0881316 1.65 0.099 -.0272146 .3183703
L4. | .2665378 .1237939 2.15 0.031 .0238253 .5092504
L3. | .2677237 .1488129 1.80 0.072 -.0240415 .559489
L2. | .0835615 .1711475 0.49 0.625 -.2519934 .4191163
L1. | .145695 .1847631 0.79 0.430 -.2165549 .507945
--. | .1794107 .1960381 0.92 0.360 -.2049451 .5637665
F1. | -.1019313 .203507 -0.50 0.616 -.5009308 .2970682
F2. | -.3197264 .2059309 -1.55 0.121 -.7234784 .0840255
F3. | -.2678047 .1987484 -1.35 0.178 -.6574743 .121865
F4. | -.1905153 .1841593 -1.03 0.301 -.5515814 .1705508
F5. | -.02172 .1577854 -0.14 0.891 -.331077 .287637
|
_cons | 2.857905 .9339647 3.06 0.002 1.026757 4.689053
-------------+----------------------------------------------------------------
sigma_u | 1.224461
sigma_e | .7531382
rho | .72552085 (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0: F(4026, 3626) = 3.70 Prob > F = 0.0000
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long pid byte lfsato int age byte(nkids mastat movest) float M0 10007857 6 64 0 3 4 0 10007857 5 65 0 3 1 0 10007857 5 66 0 3 1 0 10007857 . 67 0 3 1 0 10014578 5 59 0 1 1 0 10014578 7 61 0 1 1 0 10014578 7 62 0 1 1 0 10014578 6 63 0 1 1 0 10014578 6 65 0 1 1 0 10014578 6 66 0 1 1 0 10014578 5 67 0 1 1 0 10014578 5 68 0 1 1 0 10014578 6 69 0 1 1 0 10014578 7 70 0 1 2 1 10014578 6 71 0 1 1 0 10014608 5 62 0 1 1 0 10014608 6 64 0 1 1 0 10014608 6 65 0 1 1 0 10014608 5 66 0 1 1 0 10014608 6 68 0 1 1 0 10014608 6 69 0 1 1 0 10014608 6 70 0 1 1 0 10014608 5 71 0 1 1 0 10014608 3 72 0 1 1 0 10014608 6 73 0 1 2 1 10014608 3 74 0 1 1 0 10016813 5 41 1 5 1 0 10016813 . 43 0 4 1 0 10016813 6 44 0 4 1 0 10016813 . 45 0 4 1 0 10016813 . 47 0 4 1 0 10016813 . 49 0 3 1 0 10016848 2 37 0 5 2 1 10016848 1 39 0 4 1 0 10016848 4 40 0 2 1 0 10016848 3 41 0 2 1 0 10016848 . 42 0 2 1 0 10016848 6 43 0 2 1 0 10016848 6 44 0 2 1 0 10016848 5 45 0 2 1 0 10016848 5 46 0 1 1 0 10016848 6 47 0 1 1 0 10016848 5 48 0 1 1 0 10016848 4 49 0 1 1 0 10016872 . 17 0 6 1 0 10016872 6 18 0 6 1 0 10016872 . 19 0 6 1 0 10016872 . 19 0 6 1 0 10016872 6 21 0 6 1 0 10016872 6 22 0 2 1 0 10016872 . 23 0 2 1 0 10016872 6 24 0 2 1 0 10016872 6 25 0 2 1 0 10016872 6 26 0 2 1 0 10016872 6 27 1 2 2 1 10017933 6 54 0 5 1 0 10017933 6 55 0 4 1 0 10017933 6 56 0 4 1 0 10017933 3 56 0 4 1 0 10017933 5 58 0 4 1 0 10017933 . 59 0 4 1 0 10017933 5 60 0 4 1 0 10017933 6 60 0 4 1 0 10017933 4 62 0 4 1 0 10017933 6 63 0 4 1 0 10017933 5 64 0 4 1 0 10017933 6 65 0 4 1 0 10017933 6 66 0 4 1 0 10017992 5 17 0 6 1 0 10017992 6 18 0 6 1 0 10017992 5 19 0 6 1 0 10017992 4 19 0 6 1 0 10017992 6 21 0 6 1 0 10017992 . 22 0 6 1 0 10017992 5 23 0 6 1 0 10017992 . 23 0 6 1 0 10017992 5 25 0 6 1 0 10017992 7 26 0 6 1 0 10017992 4 27 0 6 1 0 10017992 5 28 0 6 1 0 10019057 . 64 0 6 2 1 10019057 6 65 0 6 1 0 10019057 6 66 0 6 1 0 10019057 6 67 0 6 1 0 10019057 5 67 0 6 1 0 10019057 . 68 0 6 1 0 10019057 5 69 0 6 1 0 10019057 . 71 0 6 1 0 10019057 6 71 0 6 1 0 10019057 5 73 0 6 1 0 10019057 6 74 0 6 1 0 10019057 6 75 0 6 1 0 10019057 5 76 0 6 1 0 10023526 4 43 0 4 1 0 10023526 5 44 0 4 1 0 10023526 . 48 0 1 1 0 10023526 5 49 0 4 1 0 10023526 5 50 0 4 1 0 10023526 5 51 0 4 1 0 10023526 5 52 0 4 1 0 end label values lfsato flfsato label def flfsato 1 "not satisfied at all", modify label def flfsato 7 "completely satisfied", modify label values age fage label values nkids fnkids label def fnkids 0 "none", modify label values mastat fmastat label def fmastat 1 "married", modify label def fmastat 2 "living as couple", modify label def fmastat 3 "widowed", modify label def fmastat 4 "divorced", modify label def fmastat 5 "separated", modify label def fmastat 6 "never married", modify label values movest fmovest label def fmovest 1 "non-mover", modify label def fmovest 2 "mover within gb", modify label def fmovest 4 "mover back to gb", modify
https://www.statalist.org/forums/for...multiple-times
Thanks for the help.