# summarize and explain STATA results

hi i have STATA result and i need helping me to summarize it my thesis about THE ECONOMIC IMPACT OF SYRIAN REFUGEES IN TURKEYso i have the data and i did it in STATA program but i have difficulty to summarize itcan you help
original_regression_with_all_controls.docx

Unformatted Attachment Preview

Don't use plagiarized sources. Get Your Custom Essay on
summarize and explain STATA results
Just from \$13/Page

>>> ORIGINAL REGRESSION WITH ALL CONTROLS
. regress unemployment refugees capitalinvestment trade cpi wagechange,
vce(robust) level(90)
Linear regression
Number of obs =
F( 5,
17) =
Prob > F
=
R-squared
=
Root MSE
=
23
13.26
0.0000
0.7321
.72259
———————————————————————————-|
Robust
unemployment |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -1.29e-06
7.80e-07
-1.65
0.118
-2.64e-06
7.13e-08
capitalinvestment |
.033777
.0248133
1.36
0.191
-.0093884
.0769425
.1266318
-1.61
0.125
-.424554
.0160251
cpi |
.0265338
.0367972
0.72
0.481
-.0374788
.0905464
wagechange |
.013735
.0593549
0.23
0.820
-.0895192
.1169893
_cons |
6.119765
6.016088
1.02
0.323
-4.345863
16.58539
———————————————————————————->>> THE REFUGEE VARIABLE IS ULTIMATELY INSIGNIFICANT, AND WHILE THE SAME IS TRUE
FOR TRADE, TRADE IS A COUNTER-WEIGHT CONTROL TO STABILISE THE REGRESSION FOR THE
SIGNIFICANT CAPITAL INVESTMENT. AT 10% ALPHA, THE REFUGEE VARIABLE IS DROPPED, BUT
IT WAS NEGATIVELY CORRELATED (I.E. NOT CAUSAL). SINCE THE REFUGEE VARIABLE IS
INSIGNIFICANT, THERE IS NO NEED TO INTERPRET THE EFFECT OF THE COEFFICIENT.
. regress unemployment refugees capitalinvestment trade, vce(robust) level(90)
Linear regression
Number of obs =
F( 3,
19) =
Prob > F
=
R-squared
=
Root MSE
=
23
18.00
0.0000
0.7263
.69086
———————————————————————————-|
Robust
unemployment |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -9.14e-07
5.90e-07
-1.55
0.138
-1.93e-06
1.07e-07
capitalinvestment |
.0475772
.0160124
2.97
0.008
.0198896
.0752648
.1119767
-1.54
0.140
-.3659162
.021329
_cons |
9.08851
3.263275
2.79
0.012
3.445874
14.73115
———————————————————————————->>> WHY I COULD NOT REMOVE TRADE, THE R2 WENT DOWN DUE TO OMIITED VARIABLE BIAS.
. regress unemployment refugees capitalinvestment, vce(robust) level(90)
Linear regression
Number of obs =
F( 2,
20) =
Prob > F
=
R-squared
=
Root MSE
=
23
15.00
0.0001
0.6788
.72953
———————————————————————————-|
Robust
unemployment |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -1.44e-07
5.56e-07
-0.26
0.798
-1.10e-06
8.14e-07
capitalinvestment |
.0313533
.0188833
1.66
0.112
-.0012151
.0639216
_cons |
5.184105
2.216655
2.34
0.030
1.360999
9.007211
———————————————————————————–
REFUGEES ARE HIGHLY POSITIVELY, CORRELATIVELY LINKED TO INFLATION (AS MEASURED BY
THE CPI). HOWEVER, THE IMPACT CAN BE SEEN AS TRIVIAL, AS IT TAKES 100,000 REFUGEES
TO MOVE THE CPI BY 1.43 POINTS. THE THEORY INVOLVED IS THAT AS REFUGEES ENTER
TURKEY, THEIR DEMAND FOR GOODS AND SERVICES UPSETS THE ORIGINAL TURKISH DEMAND AND
SUPPLY CONTRAINTS.
. regress cpi refugees capitalinvestment trade, vce(robust) level(90)
Linear regression
Number of obs =
F( 3,
19) =
Prob > F
=
R-squared
=
Root MSE
=
23
541.17
0.0000
0.9879
3.9094
———————————————————————————-|
Robust
cpi |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees |
.0000143
2.74e-06
5.21
0.000
9.56e-06
.000019
capitalinvestment |
.5128145
.0787817
6.51
0.000
.3765905
.6490384
1.389367
.4680095
2.97
0.008
.5801161
2.198617
_cons |
105.1412
17.98698
5.85
0.000
74.03931
136.2431
———————————————————————————–
. regress cpi refugees capitalinvestment confidenceindex unemployment wagechange
Linear regression
Number of obs =
F( 6,
16) =
Prob > F
=
R-squared
=
Root MSE
=
23
369.07
0.0000
0.9889
4.082
>>> ORIGINAL REGRESSION WITH ALL CONTROLS
———————————————————————————-|
Robust
cpi |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees |
.0000148
3.07e-06
4.83
0.000
9.45e-06
.0000202
capitalinvestment |
.4763771
.1043813
4.56
0.000
.2941395
.6586147
confidenceindex | -.0372903
.1873061
-0.20
0.845
-.364305
.2897243
unemployment |
.8054667
1.218742
0.66
0.518
-1.322315
2.933249
wagechange | -.5410081
.3344995
-1.62
0.125
-1.125005
.0429891
1.35088
.5385772
2.51
0.023
.4105868
2.291173
_cons |
107.8696
21.89544
4.93
0.000
69.64268
146.0965
———————————————————————————–
>>> ORIGINAL REGRESSION WITH ALL CONTROLS
. regress growth refugees capitalinvestment trade cpi, vce(robust) level(90)
Linear regression
Number of obs =
F( 4,
18) =
Prob > F
=
R-squared
=
Root MSE
=
23
5.73
0.0037
0.4078
1.0147
———————————————————————————-|
Robust
growth |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees |
7.47e-08
1.29e-06
0.06
0.954
-2.16e-06
2.31e-06
capitalinvestment |
.1230504
.0402211
3.06
0.007
.0533044
.1927963
.2560338
.1583088
1.62
0.123
-.0184837
.5305512
cpi | -.1296553
.0685652
-1.89
0.075
-.2485517
-.0107588
_cons |
6.219728
7.201751
0.86
0.399
-6.268567
18.70802
———————————————————————————–
>>> REPLACING CPI WITH IPI CAUSES THE REFUGEE VARIABLE TO GO FROM HIGHLY
INSIGNIFICANT TO HIGHLY SIGNIFICANT. WHY?
. regress growth refugees capitalinvestment trade ipi, vce(robust) level(90)
Linear regression
Number of obs =
F( 4,
18) =
Prob > F
=
R-squared
=
Root MSE
=
23
4.12
0.0153
0.2621
1.1327
———————————————————————————-|
Robust
growth |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -2.06e-06
8.72e-07
-2.36
0.030
-3.57e-06
-5.47e-07
capitalinvestment |
.0569663
.0183737
3.10
0.006
.0251051
.0888274
.0139801
.1523021
0.09
0.928
-.2501215
.2780817
ipi |
.0340215
.0771183
0.44
0.664
-.0997066
.1677495
_cons | -9.278144
7.523521
-1.23
0.233
-22.32441
3.76812
———————————————————————————–
>>> IPI PROVES TO STILL BE INSIGNIFICANT AFTER REMOVING THE TRADE VARIABLE.
ULTIMATELY, THE INTRODUCTION OF THE IPI VARIABLES HELPED TO REALISE THAT CPI WAS A
CAUSE FOR DISRUPTION OF THE REFUGEE VARIABLE. THIS COULD BE A SPURRIOUS REGRESSION
RESULT, BUT CLEARLY THERE IS A NEGATIVE RELATIONSHIP BETWEEN GROWTH AND THE
INCREASE OF REFUGEES.
. . regress growth refugees capitalinvestment ipi, vce(robust) level(90)
Linear regression
Number of obs =
F( 3,
19) =
Prob > F
=
R-squared
=
Root MSE
=
23
5.47
0.0070
0.2619
1.1027
———————————————————————————-|
Robust
growth |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -2.12e-06
5.94e-07
-3.57
0.002
-3.15e-06
-1.09e-06
capitalinvestment |
.0578079
.0152379
3.79
0.001
.0314596
.0841562
ipi |
.0369991
.0650794
0.57
0.576
-.0755318
.1495299
_cons | -9.247426
7.350026
-1.26
0.224
-21.9566
3.461745
———————————————————————————–
>>> REMOVING THE HIGHLY INSIGNIFICANT IPI VARIABLE REFINES THE REGRESSION, OVERALL.
. . regress growth refugees capitalinvestment, vce(robust) level(90)
Linear regression
Number of obs =
F( 2,
20) =
Prob > F
=
R-squared
=
Root MSE
=
23
5.20
0.0152
0.2420
1.0891
———————————————————————————-|
Robust
growth |
Coef.
Std. Err.
t
P>|t|
[90% Conf. Interval]
——————+————————————————————–refugees | -2.12e-06
6.86e-07
-3.09
0.006
-3.30e-06
-9.35e-07
capitalinvestment |
.0637079
.019757
3.22
0.004
.0296326
.0977832
_cons | -5.692499
2.220433
-2.56
0.019
-9.522121
-1.862877
———————————————————————————–

attachment

Basic features
• Free title page and bibliography
• Unlimited revisions
• Plagiarism-free guarantee
• Money-back guarantee
On-demand options
• Writer’s samples
• Part-by-part delivery
• Overnight delivery
• Copies of used sources
Paper format
• 275 words per page
• 12 pt Arial/Times New Roman
• Double line spacing
• Any citation style (APA, MLA, Chicago/Turabian, Harvard)

# Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

### Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

### Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

### Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

### Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

## Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
\$26
The price is based on these factors: