Regression table

[Olivia Emma]

Hello

I have run these regression and I have to present the results in a Table please how I can do that Please

I want six columns in a Table (Full, Poor, Wealthy), for Full with no controls and with controls and same for poor and Wealthy. please

***First Stage
*** Column 1

xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)


*** Column 2


xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)

*** Column 3


xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)


*** Column 4


xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)




*** Column 5

xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)


*** Column 6


xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)


Data

----------------------- copy starting from the next line -----------------------

* Example generated by -dataex-. For more info, type help dataex
clear
input byte(region urban y n_siblings) float survey str8 sample_cluster float(Z x Z_x)
 3 2  9  2 2015 "20151"  1 10 10
 3 2  7  4 2015 "20151"  1 11 11
 3 2 10  5 2015 "20151"  1 23 23
 3 2  6  5 2015 "20151"  1 10 10
 3 2 10  5 2015 "20151"  1 11 11
 3 2 10  5 2015 "20151"  1 27 27
 3 2  9  8 2015 "20151"  1 32 32
 3 2  8  5 2015 "20151"  1 19 19
 3 2  8  8 2015 "20151"  1  3  3
 3 2  7  8 2015 "20151"  1  2  2
 3 2  8 10 2015 "20151"  1 24 24
 3 2  8  6 2015 "20151"  1 16 16
 3 2  8  2 2015 "20151"  1 14 14
 3 2 10  6 2015 "20151"  1  7  7
 3 2 11  7 2015 "20151"  1 15 15
 3 2  7  0 2015 "20151"  1  0  0
 3 2 11  6 2015 "20151"  1  6  6
 3 2  9  7 2015 "20151"  1 14 14
 3 2  9  5 2015 "20151"  1 26 26
 8 2  7  8 2015 "20152"  1 20 20
 8 2 10  6 2015 "20152"  1 31 31
 8 2 10  6 2015 "20152"  1 31 31
 8 2  7  6 2015 "20152"  1 25 25
 8 2 11 10 2015 "20152"  1 14 14
 8 2  6  8 2015 "20152"  1 12 12
 8 2 11  2 2015 "20152"  1 31 31
 8 2 11  2 2015 "20152"  1 29 29
 8 2  8  8 2015 "20152"  1 33 33
 8 2 11  5 2015 "20152"  1 18 18
 8 2 11  7 2015 "20152"  1 14 14
 8 2 10  3 2015 "20152"  1 29 29
 8 2  9  1 2015 "20152"  1 18 18
 8 2  7  9 2015 "20152"  1  9  9
 8 2 11  5 2015 "20152"  1 27 27
 8 2  6  1 2015 "20152"  1 20 20
 8 2  8  1 2015 "20152"  1 31 31
 8 2  9  4 2015 "20152"  1 32 32
 8 2 11  1 2015 "20152"  1 24 24
 8 2  6  5 2015 "20152"  1 26 26
 8 2  7  3 2015 "20152"  1 33 33
 8 2  9  4 2015 "20152"  1 16 16
 8 2 10  5 2015 "20152"  1 32 32
 8 2 10  4 2015 "20152"  1 24 24
 8 2 11  3 2015 "20152"  1 20 20
 8 2  9  2 2015 "20152"  1 33 33
 8 2  7  4 2015 "20152"  1  7  7
 9 1 11  7 2015 "20153"  1  8  8
 9 1  8  2 2015 "20153"  1 33 33
 9 1 11  9 2015 "20153"  1 16 16
 9 1 13  2 2015 "20153"  1 25 25
 9 1  8  2 2015 "20153"  1 24 24
 9 1 11  1 2015 "20153"  1 28 28
 9 1  9  5 2015 "20153"  1 19 19
 9 1  8  6 2015 "20153"  1 11 11
 9 1  6 10 2015 "20153"  1  3  3
 9 1 11  6 2015 "20153"  1  9  9
 9 1 11  6 2015 "20153"  1 12 12
 9 1 15  1 2015 "20153"  1 29 29
 9 1 10  2 2015 "20153"  1 19 19
 9 1  9  3 2015 "20153"  1  6  6
 9 1 11  4 2015 "20153"  1  5  5
 9 1 13  1 2015 "20153"  1 12 12
 9 1 11  3 2015 "20153"  1 10 10
 9 1 11  5 2015 "20153"  1  6  6
 9 1 11  2 2015 "20153"  1 28 28
 9 1  9  1 2015 "20153"  1 16 16
 9 1  7  4 2015 "20153"  1 21 21
 9 1  8 15 2015 "20153"  1 16 16
 9 1  9  1 2015 "20153"  1 32 32
 4 2  9  2 2015 "20154"  1 19 19
 4 2  3  5 2015 "20154"  1 24 24
 4 2  9  2 2015 "20154"  1 25 25
 4 2  8 11 2015 "20154"  1 27 27
 4 2 11  5 2015 "20154"  1 16 16
 4 2 11  4 2015 "20154"  1 29 29
 4 2  9  4 2015 "20154"  1 16 16
 4 2  6  5 2015 "20154"  1 20 20
 4 2 10  9 2015 "20154"  1 17 17
 4 2 10  2 2015 "20154"  1 25 25
 4 2 11  7 2015 "20154"  1 26 26
 4 2 10  4 2015 "20154"  1 32 32
 4 2 10  8 2015 "20154"  1 32 32
 4 2  3  7 2015 "20154"  1  0  0
 4 2  6  6 2015 "20154"  1 15 15
 4 2 16  6 2015 "20154"  1 22 22
 4 2  8  2 2015 "20154"  1 30 30
 4 2 10  2 2015 "20154"  1 26 26
 4 2 11  5 2015 "20154"  1 27 27
 4 2  8  7 2015 "20154"  1 21 21
 4 2 11  8 2015 "20154"  1 13 13
 4 2 10  8 2015 "20154"  1 22 22
 4 2  9  6 2015 "20154"  1 29 29
 4 2 10  2 2015 "20154"  1 16 16
 4 2  7  7 2015 "20154"  1 31 31
10 1 10 10 2015 "20155"  1 24 24
10 1 15  1 2015 "20155"  1 19 19
10 1 10  6 2015 "20155"  1 27 27
10 1  7  5 2015 "20155"  1 24 24
10 1 10  2 2015 "20155"  1 33 33
10 1 18  1 2015 "20155"  1  9  9
10 1 16  1 2015 "20155"  1 26 26
10 1 16  3 2015 "20155"  1 15 15
10 1 11  6 2015 "20155"  1 20 20
10 1 13  0 2015 "20155"  1 26 26
10 1 10  1 2015 "20155"  1  7  7
10 1  9  5 2015 "20155"  1 19 19
10 1 11  2 2015 "20155"  1 11 11
 9 1  9  4 2015 "20156"  1 18 18
 9 1  9  4 2015 "20156"  1 23 23
 9 1 11  4 2015 "20156"  1 26 26
 9 1 11  5 2015 "20156"  1 12 12
 9 1 10  4 2015 "20156"  1 29 29
 9 1 11  2 2015 "20156"  1 23 23
 9 1 11  2 2015 "20156"  1 25 25
 9 1 11  8 2015 "20156"  1  9  9
 9 1  8  3 2015 "20156"  1 12 12
 9 1 11  5 2015 "20156"  1 14 14
 9 1 11  7 2015 "20156"  1  6  6
 9 1 11  2 2015 "20156"  1 28 28
 9 1  7  1 2015 "20156"  1 24 24
 9 1 10  1 2015 "20156"  1 28 28
 9 1 16  3 2015 "20156"  1 21 21
 9 1 11  4 2015 "20156"  1 30 30
 9 1 10  8 2015 "20156"  1 18 18
 9 1 11 10 2015 "20156"  0 -1  0
 9 1 15  7 2015 "20156"  1 12 12
 9 1 12  2 2015 "20156"  1 29 29
 9 1 11  6 2015 "20156"  1 18 18
 9 1  9  7 2015 "20156"  1 33 33
 9 1 11  7 2015 "20156"  1  7  7
 9 1 11  3 2015 "20156"  1 25 25
 9 1 18  6 2015 "20156"  1 11 11
 9 1 11  6 2015 "20156"  1 15 15
 9 1  9  6 2015 "20156"  1 28 28
 9 1 11  6 2015 "20156"  1  6  6
 3 1 16  3 2015 "20157"  1 15 15
 3 1 11  5 2015 "20157"  1 30 30
 3 1 10 10 2015 "20157"  1  7  7
 3 1  9  7 2015 "20157"  1 12 12
 3 1 11  4 2015 "20157"  1  7  7
 3 1 10  5 2015 "20157"  1 30 30
 3 1 16  4 2015 "20157"  1 17 17
 3 1  9  1 2015 "20157"  1 33 33
 3 1 11  0 2015 "20157"  1 29 29
 3 1 13  3 2015 "20157"  1 28 28
 3 1  9  2 2015 "20157"  1 32 32
 3 1 11  3 2015 "20157"  1 13 13
 3 1 11  2 2015 "20157"  1 21 21
 3 1 11  3 2015 "20157"  1 18 18
 3 1 11  9 2015 "20157"  1 11 11
 3 1 11  1 2015 "20157"  1 14 14
 3 1 11  8 2015 "20157"  1 25 25
 3 1 11  3 2015 "20157"  1 25 25
 3 1 11  3 2015 "20157"  1 24 24
 3 1 11  0 2015 "20157"  1  8  8
 3 1 14  5 2015 "20157"  1 17 17
 3 1  9  3 2015 "20157"  1 33 33
 3 1 11  3 2015 "20157"  1  8  8
 3 1 11  5 2015 "20157"  1 13 13
 3 1 11  6 2015 "20157"  1 27 27
 3 1  4  3 2015 "20157"  1 17 17
 3 1 16  5 2015 "20157"  1 14 14
 8 2 11  3 2015 "20158"  1 31 31
 8 2 11  6 2015 "20158"  1 18 18
 8 2  9  6 2015 "20158"  1  7  7
 8 2  9  4 2015 "20158"  1 31 31
 8 2  8  1 2015 "20158"  1  3  3
 8 2 10  1 2015 "20158"  1 32 32
 8 2  7  2 2015 "20158"  1 12 12
 8 2  9  7 2015 "20158"  1 16 16
 8 2 11  6 2015 "20158"  1 28 28
 8 2  6  4 2015 "20158"  1 10 10
 8 2 11  3 2015 "20158"  1 27 27
 8 2  7  0 2015 "20158"  1 30 30
 8 2  7  4 2015 "20158"  1 25 25
 8 2  9  4 2015 "20158"  1 31 31
 8 2  7  1 2015 "20158"  1 26 26
 8 2 11  3 2015 "20158"  1 32 32
 8 2  4  2 2015 "20158"  1  1  1
 8 2 10  8 2015 "20158"  1 17 17
 8 2 11  8 2015 "20158"  1  3  3
 8 2  9  5 2015 "20158"  1 12 12
 2 1 11  2 2015 "20159"  1 15 15
 2 1 11  1 2015 "20159"  1 22 22
 2 1 11  0 2015 "20159"  1 28 28
 2 1 11  6 2015 "20159"  1 12 12
 2 1 11  2 2015 "20159"  1 31 31
 2 1 11  6 2015 "20159"  1 17 17
 2 1  7  7 2015 "20159"  1 25 25
 2 1  8  3 2015 "20159"  1 15 15
 2 1  8  5 2015 "20159"  1 32 32
 2 1 11  5 2015 "20159"  1 14 14
 2 1  7  5 2015 "20159"  1 24 24
 2 1 11  4 2015 "20159"  1 27 27
 2 1  9  7 2015 "20159"  1 17 17
 2 1  9  3 2015 "20159"  1 12 12
 2 1 11  4 2015 "20159"  1 16 16
 2 1 11  6 2015 "20159"  1 12 12
 2 1 10  7 2015 "20159"  1  5  5
 2 1  9  4 2015 "20159"  1 10 10
 2 1 11  5 2015 "20159"  1 12 12
 2 1  9  5 2015 "20159"  1  6  6
 2 1  9  3 2015 "20159"  1  5  5
 2 1  6  3 2015 "20159"  1 30 30
 2 1 11  1 2015 "20159"  1 24 24
 9 1  7  0 2015 "201510" 1 20 20
 9 1 11  6 2015 "201510" 1 24 24
 9 1  9  5 2015 "201510" 1  3  3
 9 1 13  3 2015 "201510" 1 15 15
 9 1 11  4 2015 "201510" 1 23 23
 9 1 11  3 2015 "201510" 1 22 22
 9 1 15  1 2015 "201510" 1 23 23
 9 1 15  2 2015 "201510" 1 15 15
 9 1 11  2 2015 "201510" 1 28 28
 9 1 15  1 2015 "201510" 1 21 21
 9 1 16  2 2015 "201510" 1 25 25
 9 1 11  5 2015 "201510" 1  5  5
 9 1 13  3 2015 "201510" 1 23 23
 9 1 15  3 2015 "201510" 1 17 17
 9 1 11  2 2015 "201510" 1 25 25
 9 1 10  5 2015 "201510" 1  7  7
 9 1 17  3 2015 "201510" 1 12 12
 9 1 11  6 2015 "201510" 1 17 17
 9 1 13  4 2015 "201510" 1 19 19
 9 1 17  3 2015 "201510" 1 21 21
 9 1 10  6 2015 "201510" 1 30 30
 9 1 11  0 2015 "201510" 1 29 29
 9 1 11  4 2015 "201510" 1 15 15
 9 1 11  9 2015 "201510" 1  9  9
 9 1 11  3 2015 "201510" 1  6  6
 9 1 14  2 2015 "201510" 1 24 24
 9 1 11  5 2015 "201510" 1 29 29
 9 1 11  1 2015 "201510" 1 32 32
 9 1  9  2 2015 "201510" 1 11 11
 9 1 11  7 2015 "201510" 1 19 19
 9 1 11  5 2015 "201510" 1 20 20
 9 1  8  5 2015 "201510" 1 26 26
 9 1  8  1 2015 "201510" 1 33 33
 9 1 17  3 2015 "201510" 1 24 24
 9 1  9  7 2015 "201510" 1  6  6
 9 1 15  2 2015 "201510" 1 25 25
 9 1 11  2 2015 "201510" 1 30 30
 9 1  8  3 2015 "201510" 1 32 32
 9 1 16  7 2015 "201510" 1 12 12
 9 1 11  2 2015 "201510" 1 20 20
 9 1 14  1 2015 "201511" 1 15 15
 9 1 13  4 2015 "201511" 1 10 10
 9 1 11  6 2015 "201511" 1  3  3
 9 1 14  2 2015 "201511" 1 28 28
 9 1 11  2 2015 "201511" 1  1  1
 9 1  0  8 2015 "201511" 1  5  5
 9 1  0  4 2015 "201511" 1  3  3
 9 1 11  2 2015 "201511" 1 13 13
 9 1  7  4 2015 "201511" 1 16 16
 9 1 10  1 2015 "201511" 1 32 32
 9 1 11  4 2015 "201511" 1 21 21
 9 1 11 10 2015 "201511" 1  6  6
 9 1 10  2 2015 "201511" 1 32 32
 9 1 17  2 2015 "201511" 1  3  3
 9 1 14  2 2015 "201511" 1 12 12
 9 1 15  5 2015 "201511" 1 27 27
 9 1 13  1 2015 "201511" 1 21 21
 1 2  5  6 2015 "201512" 1  7  7
 1 2  7 11 2015 "201512" 1 18 18
 1 2  2  1 2015 "201512" 1 10 10
 1 2  8  7 2015 "201512" 1 19 19
 1 2  8  6 2015 "201512" 1 10 10
 1 2 10  3 2015 "201512" 1 30 30
 1 2 10  3 2015 "201512" 1 21 21
 1 2 10  3 2015 "201512" 1 24 24
 1 2  1  9 2015 "201512" 1 30 30
 1 2  8  7 2015 "201512" 1 32 32
 1 2  7  3 2015 "201512" 1 24 24
 1 2  7  6 2015 "201512" 1 29 29
 1 2 11  5 2015 "201512" 1 18 18
 1 2  8  7 2015 "201512" 1 21 21
 1 2  4  6 2015 "201512" 1  8  8
 1 2  9  1 2015 "201512" 1 24 24
 1 2  8  5 2015 "201512" 1 18 18
 1 2 11  3 2015 "201512" 1 26 26
 1 2  7  3 2015 "201512" 1 15 15
 1 2  9  8 2015 "201512" 1  9  9
 1 2 10  4 2015 "201512" 1 29 29
 1 2  4  0 2015 "201512" 1  2  2
 1 2  7  4 2015 "201513" 1 27 27
 1 2  9  3 2015 "201513" 1 29 29
 1 2 10  2 2015 "201513" 1 31 31
 1 2  9  0 2015 "201513" 1 29 29
 1 2 16  1 2015 "201513" 1  9  9
 1 2 10  1 2015 "201513" 1 31 31
 1 2 16  1 2015 "201513" 1 16 16
 1 2 11  1 2015 "201513" 1 25 25
 1 2  8  4 2015 "201513" 1 31 31
 1 2  9  6 2015 "201513" 1 17 17
 1 2  8  4 2015 "201513" 1 23 23
 1 2  8  3 2015 "201513" 1 21 21
 1 2  6  4 2015 "201513" 1 23 23
 1 2  7 12 2015 "201513" 1 11 11
 1 2 11  0 2015 "201513" 1 28 28
 1 2  7  9 2015 "201513" 1  2  2
 1 2 11  2 2015 "201513" 1 25 25
 1 2 11  1 2015 "201513" 1 22 22
 1 2  6  4 2015 "201513" 1 30 30
 7 1  7  1 2015 "201514" 1 15 15
 7 1  9  3 2015 "201514" 1 32 32
 7 1  6  2 2015 "201514" 1 17 17
 7 1  7  8 2015 "201514" 1 23 23
 7 1 10  6 2015 "201514" 1 21 21
 7 1 11  8 2015 "201514" 1 10 10
 7 1  7  1 2015 "201514" 1  7  7
 7 1  7  4 2015 "201514" 1  9  9
 7 1  7  4 2015 "201514" 1 21 21
 7 1 11  5 2015 "201514" 1 17 17
 7 1  8  8 2015 "201514" 1 27 27
 7 1 10  8 2015 "201514" 1 32 32
 7 1 11  1 2015 "201514" 1 17 17
 7 1  9  3 2015 "201514" 1 13 13
 7 1 11  5 2015 "201514" 1  7  7
 7 1  7  1 2015 "201514" 1 33 33
 7 1  7  7 2015 "201514" 1  6  6
 7 1 10  1 2015 "201514" 1 29 29
 7 2  7  9 2015 "201515" 1 28 28
 7 2  7  8 2015 "201515" 1  7  7
 7 2  7  8 2015 "201515" 1 14 14
 7 2  6  1 2015 "201515" 1 21 21
 7 2 11  6 2015 "201515" 1 12 12
 7 2  7 11 2015 "201515" 1 16 16
 7 2  9  2 2015 "201515" 1 18 18
 7 2 11  9 2015 "201515" 1 10 10
 7 2 10  5 2015 "201515" 1 27 27
 7 2 11  3 2015 "201515" 1 26 26
 7 2  6  4 2015 "201515" 1 31 31
 7 2  8  2 2015 "201515" 1 17 17
 7 2  7  1 2015 "201515" 1 14 14
 7 2 10  0 2015 "201515" 1 25 25
 7 2 11  4 2015 "201515" 1  6  6
 7 2 10  7 2015 "201515" 1 15 15
 7 2  9 10 2015 "201515" 1 10 10
 7 2  9  7 2015 "201515" 1 14 14
 7 2 10  8 2015 "201515" 1 29 29
 7 2  6  8 2015 "201515" 1 19 19
 7 2  0  7 2015 "201515" 0 -1  0
 7 2  7  8 2015 "201515" 1 25 25
 7 2 10  6 2015 "201515" 1 28 28
 7 2  9  6 2015 "201515" 1 22 22
 7 2 11  9 2015 "201515" 1 25 25
 7 2  7  1 2015 "201515" 1  1  1
 7 2  6  4 2015 "201515" 1 29 29
 7 2 11  5 2015 "201515" 1 13 13
 7 2 11  8 2015 "201515" 1 13 13
 7 2  6  4 2015 "201515" 1 28 28
 7 2  9  8 2015 "201515" 1 23 23
 7 1 11  2 2015 "201516" 1 16 16
 7 1 11  3 2015 "201516" 1 14 14
 7 1  8  2 2015 "201516" 1 32 32
 7 1  9  7 2015 "201516" 1  9  9
 7 1 11 14 2015 "201516" 1  5  5
 7 1 13  0 2015 "201516" 1 21 21
 7 1 11  5 2015 "201516" 1 21 21
 7 1 10  7 2015 "201516" 1 18 18
 7 1 11  5 2015 "201516" 1 10 10
 7 1 13  3 2015 "201516" 1 24 24
 7 1 11  0 2015 "201516" 1 30 30
 7 1  4  5 2015 "201516" 1 33 33
 7 1 11  4 2015 "201516" 1 18 18
 7 1 11  4 2015 "201516" 1 13 13
 7 1 11  0 2015 "201516" 1 14 14
 7 1 11  6 2015 "201516" 1 26 26
 7 1 11  2 2015 "201516" 1 15 15
 7 1 11  3 2015 "201516" 1 11 11
 7 1 11  0 2015 "201516" 1 29 29
 7 1 11  3 2015 "201516" 1 29 29
 7 1  9  4 2015 "201516" 1  6  6
 7 1 10  5 2015 "201516" 1 32 32
 7 1  9  5 2015 "201516" 1 18 18
 7 1  7  9 2015 "201516" 0 -1  0
 7 1 11  5 2015 "201516" 1 17 17
 7 1 11  2 2015 "201516" 1 19 19
 7 1 11  5 2015 "201516" 1 26 26
 7 1 11  4 2015 "201516" 1 15 15
 7 1 11  4 2015 "201516" 1 28 28
 7 1 11  7 2015 "201516" 1 18 18
 7 1 11  5 2015 "201516" 1 12 12
 7 1 16  2 2015 "201516" 1 12 12
 2 2  3  3 2015 "201517" 1 17 17
 2 2  7  5 2015 "201517" 1  5  5
 2 2  9  5 2015 "201517" 1 27 27
 2 2 10  7 2015 "201517" 1 17 17
 2 2 10  2 2015 "201517" 1  6  6
 2 2  5  1 2015 "201517" 1 10 10
 2 2  5  5 2015 "201517" 0 -1  0
 2 2  8  2 2015 "201517" 1 15 15
 2 2  7  3 2015 "201517" 1 32 32
 2 2 10  1 2015 "201517" 1 20 20
 2 2 11  4 2015 "201517" 1 29 29
 2 2  7  7 2015 "201517" 1  1  1
 2 2  1  0 2015 "201517" 1 32 32
 2 2  9  4 2015 "201517" 1 24 24
 2 2  6  3 2015 "201517" 1 24 24
 2 2 11  6 2015 "201517" 1 20 20
 2 2 16  8 2015 "201517" 1 15 15
 2 2 11  4 2015 "201517" 1 29 29
 2 2  7  5 2015 "201517" 1 14 14
 2 2 11  3 2015 "201517" 1 15 15
 2 2  9 11 2015 "201517" 1 22 22
 2 2 11  4 2015 "201517" 1  5  5
 2 2 10  3 2015 "201517" 1 21 21
 2 2 10  2 2015 "201517" 1  7  7
 2 2 16  4 2015 "201517" 1 16 16
10 1  7  2 2015 "201518" 1 23 23
10 1  9  3 2015 "201518" 1 17 17
10 1 11  9 2015 "201518" 1 25 25
10 1 11  6 2015 "201518" 1  4  4
10 1 10  3 2015 "201518" 1 31 31
10 1  8  3 2015 "201518" 1 33 33
10 1  7  8 2015 "201518" 1 11 11
10 1 11  3 2015 "201518" 1 15 15
10 1 11  5 2015 "201518" 1 26 26
10 1 11  6 2015 "201518" 1 20 20
10 1 12  7 2015 "201518" 1 21 21
10 1  9  7 2015 "201518" 1 26 26
10 1 11 11 2015 "201518" 1 12 12
10 1 10  4 2015 "201518" 1 22 22
10 1 11  6 2015 "201518" 1 11 11
10 1 11  2 2015 "201518" 1 30 30
10 1 11  3 2015 "201518" 1 23 23
10 1 10  4 2015 "201518" 1 32 32
10 1 11  6 2015 "201518" 1 27 27
10 1 11  4 2015 "201518" 1 13 13
10 1 11 11 2015 "201518" 1  6  6
10 1 14  0 2015 "201518" 1 23 23
10 1 11  6 2015 "201518" 1  3  3
10 1 11  0 2015 "201518" 1 25 25
10 1 10  3 2015 "201518" 1 22 22
 5 2  6  6 2015 "201519" 1 19 19
 5 2  6  6 2015 "201519" 1 16 16
 5 2  7  3 2015 "201519" 0 -1  0
 5 2 11  1 2015 "201519" 1 30 30
 5 2  9  7 2015 "201519" 1 11 11
 5 2  5  1 2015 "201519" 1 26 26
 5 2  7  2 2015 "201519" 1 13 13
 5 2  9  5 2015 "201519" 1  6  6
 5 2  7  2 2015 "201519" 1  3  3
 5 2 10  1 2015 "201519" 1 29 29
 5 2  7  5 2015 "201519" 1 24 24
 5 2  9  7 2015 "201519" 1 24 24
 5 2  6 10 2015 "201519" 1  5  5
 5 2 10  1 2015 "201519" 1 14 14
 5 2 10  6 2015 "201519" 1 32 32
 5 2 10  4 2015 "201519" 1 31 31
 1 2  7  9 2015 "201520" 1 23 23
 1 2  8  6 2015 "201520" 1 19 19
 1 2  6  5 2015 "201520" 1  7  7
 1 2  9  7 2015 "201520" 1 25 25
 1 2  8  5 2015 "201520" 1 12 12
 1 2  7  8 2015 "201520" 1 13 13
 1 2  7  9 2015 "201520" 1 17 17
 1 2  7  1 2015 "201520" 1 20 20
 1 2  7  1 2015 "201520" 1 29 29
 1 2 11  5 2015 "201520" 1 26 26
 1 2  8  5 2015 "201520" 1 22 22
 1 2 16  6 2015 "201520" 1 13 13
 1 2 13  8 2015 "201520" 1 26 26
 1 2  7  4 2015 "201520" 1 20 20
 1 2 16  7 2015 "201520" 1  5  5
 1 2  7  8 2015 "201520" 1 11 11
 1 2  7  7 2015 "201520" 1 13 13
 1 2  8  5 2015 "201520" 1 32 32
 1 2 10  4 2015 "201520" 1 31 31
 1 2 13  2 2015 "201520" 1 27 27
 1 2  7  8 2015 "201520" 1 19 19
 7 2  7  4 2015 "201521" 1 12 12
 7 2  9  6 2015 "201521" 1 15 15
 7 2  5  5 2015 "201521" 1 18 18
 7 2 11 10 2015 "201521" 1 13 13
 7 2  6  2 2015 "201521" 1 31 31
 7 2  5  6 2015 "201521" 1 25 25
 7 2  3  6 2015 "201521" 1 19 19
 7 2  6  4 2015 "201521" 1 21 21
 7 2 11  9 2015 "201521" 1 24 24
 7 2  2  5 2015 "201521" 1 31 31
 6 2 10  9 2015 "201522" 1 22 22
 6 2 11  4 2015 "201522" 1 21 21
 6 2 11  0 2015 "201522" 1 11 11
 6 2 10  5 2015 "201522" 1  2  2
 6 2  8  6 2015 "201522" 0 -1  0
 6 2 11 10 2015 "201522" 1 26 26
 6 2  6  1 2015 "201522" 1 27 27
 6 2  7  6 2015 "201522" 1  8  8
 6 2 10  6 2015 "201522" 1 16 16
 6 2 10  6 2015 "201522" 1 20 20
 6 2  9  0 2015 "201522" 1  5  5
 6 2  9  1 2015 "201522" 1 32 32
 6 2  6  3 2015 "201522" 1  4  4
 6 2  1  3 2015 "201522" 1 10 10
 6 2 11  7 2015 "201522" 1  6  6
 6 2  8  0 2015 "201522" 1  4  4
 6 2  7  0 2015 "201522" 1 16 16
 6 2  7  0 2015 "201522" 1  6  6
 6 2  9  0 2015 "201522" 1 16 16
end
label values region V024
label def V024 1 "manicaland", modify
label def V024 2 "mashonaland central", modify
label def V024 3 "mashonaland east", modify
label def V024 4 "mashonaland west", modify
label def V024 5 "matabeleland north", modify
label def V024 6 "matabeleland south", modify
label def V024 7 "midlands", modify
label def V024 8 "masvingo", modify
label def V024 9 "harare", modify
label def V024 10 "bulawayo", modify
label values urban V025
label def V025 1 "urban", modify
label def V025 2 "rural", modify
label values y V133

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[Olivia Emma]

I want something similar to this please

[Olivia Emma]

Hi all

I have tried the following please

* Column 1
xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)
estimates store column1

* Column 2
xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)
estimates store column2

* Column 3
xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)
estimates store column3

* Column 4
xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)
estimates store column4

* Column 5
xi: ivreg2 y Z x Z_x , r cluster(sample_cluster)
estimates store column5

* Column 6
xi: ivreg2 y Z x Z_x i.survey i.region i.urban n_siblings , r cluster(sample_cluster)
estimates store column6

* Generate the table
esttab column1 column2 column3 column4 column5 column6, cells(b(star fmt(%9.2f)) se(par fmt(%9.2f))) label ///
stats(r2 N, fmt(%9.2f %9.0g)) mtitle("Column 1" "Column 2" "Column 3" "Column 4" "Column 5" "Column 6") ///
varlabels(_cons "Constant") scalars(mean_y)



How I can add the Yes or NO for controls

Thanks