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Contraception_trend.log
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Contraception_trend.log
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----------------------------------------------------------------------------------------------------------------------------------
name: <unnamed>
log: C:\Users\vkasa\Desktop\f2.log
log type: text
opened on: 24 Oct 2018, 22:06:48
. *Tabulating our main variable*
.
. tab v312
current contraceptive method | Freq. Percent Cum.
-------------------------------+-----------------------------------
not using | 438,428 62.66 62.66
pill | 21,623 3.09 65.75
iud | 9,554 1.37 67.12
injections | 1,075 0.15 67.27
diaphragm | 1 0.00 67.27
condom | 29,517 4.22 71.49
female sterilization | 165,650 23.67 95.16
male sterilization | 1,787 0.26 95.42
rhythm/periodic abstinence | 17,873 2.55 97.97
withdrawal | 13,557 1.94 99.91
lactational amenorrhea (lam) | 448 0.06 99.98
female condom | 126 0.02 99.99
foam or jelly | 8 0.00 99.99
standard days | 39 0.01 100.00
-------------------------------+-----------------------------------
Total | 699,686 100.00
.
. *We change the variable such that we remove the people who've never had sex for better results.
.
. replace v312=. if [v312==0 & v364==5]
(164940 real changes made, 164940 to missing)
.
. *New Variable has been created. This variable was created to remove the people who've never had sex from v312.
.
. *Now we create a variable that simply accounts for whether people use contraceptive methods (modern or traditional) or not. It i
> s a nominal variable
.
. gen contra_use=.
(699686 missing values generated)
.
. replace contra_use=0 if [v312==0]
(273488 real changes made)
.
. replace contra_use=1 if [v312>=1 & v312<=18]
(261258 real changes made)
.
. label define i_contra_use 0 NO 1 YES
.
. label value contra_use i_contra_use
.
. tab contra_use
contra_use | Freq. Percent Cum.
------------+-----------------------------------
NO | 273,488 51.14 51.14
YES | 261,258 48.86 100.00
------------+-----------------------------------
Total | 534,746 100.00
.
. tab v312
current contraceptive method | Freq. Percent Cum.
-------------------------------+-----------------------------------
not using | 273,488 51.14 51.14
pill | 21,623 4.04 55.19
iud | 9,554 1.79 56.97
injections | 1,075 0.20 57.17
diaphragm | 1 0.00 57.17
condom | 29,517 5.52 62.69
female sterilization | 165,650 30.98 93.67
male sterilization | 1,787 0.33 94.01
rhythm/periodic abstinence | 17,873 3.34 97.35
withdrawal | 13,557 2.54 99.88
lactational amenorrhea (lam) | 448 0.08 99.97
female condom | 126 0.02 99.99
foam or jelly | 8 0.00 99.99
standard days | 39 0.01 100.00
-------------------------------+-----------------------------------
Total | 534,746 100.00
.
. *Adding weights to the clusters*
.
. gen wt = v005/100000
.
. svyset v001 [pweight=wt]
pweight: wt
VCE: linearized
Single unit: missing
Strata 1: <one>
SU 1: v001
FPC 1: <zero>
.
. *Question 2 : cross tabulation of main variable with other variables*
.
. *religion
.
. svy: tab v312 v130, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
------------------------------------------------------------------------------------------------------------------------
current |
contracep |
tive | religion
method | hindu muslim christia sikh buddhist jain jewish parsi/zo no relig other Total
----------+-------------------------------------------------------------------------------------------------------------
not usin | .468 .5615 .5027 .283 .3407 .3896 .6974 .8138 .767 .5997 .4775
pill | .032 .0755 .0289 .0231 .0312 .0142 0 0 .0311 .1608 .0381
iud | .0136 .0133 .0162 .0626 .0146 .0296 0 0 .004 .0158 .0145
injectio | .0015 .0032 .0015 .0015 .0024 6.8e-04 0 0 0 .002 .0017
diaphrag | 2.6e-06 0 0 0 0 0 0 0 0 0 2.1e-06
condom | .0493 .069 .0221 .1638 .0694 .1304 .0706 0 .0029 .0269 .0533
female s | .3791 .2067 .3957 .379 .5138 .3805 .232 .1862 .169 .1414 .3569
male ste | .0028 6.8e-04 .002 .0063 .0063 .0129 0 0 .0064 .0017 .0026
rhythm/p | .0326 .0385 .0137 .0524 .007 .0197 0 0 .016 .0399 .0331
withdraw | .0199 .0306 .0166 .0278 .0141 .0225 0 0 .0034 .0117 .0212
lactatio | 7.8e-04 6.6e-04 4.5e-04 4.6e-04 6.2e-04 0 0 0 7.0e-05 1.6e-04 7.5e-04
female c | 2.7e-04 2.1e-04 7.0e-05 7.1e-06 1.9e-06 0 0 0 0 0 2.5e-04
foam or | 4.0e-05 2.9e-05 0 0 0 0 0 0 0 0 3.7e-05
standard | 8.0e-05 5.5e-05 1.4e-04 0 0 0 0 0 0 0 7.6e-05
|
Total | 1 1 1 1 1 1 1 1 1 1 1
------------------------------------------------------------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(117) = 1.74e+04
Design-based F(26.26, 7.5e+05)= 46.5401 P = 0.0000
.
. *wealth index
.
. svy: tab v312 v190, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
----------------------------------------------------------------
current |
contracep |
tive | wealth index
method | poorest poorer middle richer richest Total
----------+-----------------------------------------------------
not usin | .5938 .495 .4539 .4383 .4197 .4775
pill | .0412 .0546 .0389 .0323 .0244 .0381
iud | .0051 .0085 .0098 .0174 .0304 .0145
injectio | .0015 .0015 .0014 .0019 .0023 .0017
diaphrag | 1.1e-05 0 0 0 0 2.1e-06
condom | .0172 .0293 .0406 .0597 .1156 .0533
female s | .2846 .3495 .4002 .3958 .3454 .3569
male ste | .0022 .0027 .0023 .0026 .0031 .0026
rhythm/p | .036 .0354 .0306 .0298 .034 .0331
withdraw | .0173 .0222 .0214 .0208 .0241 .0212
lactatio | .0011 9.9e-04 5.5e-04 7.8e-04 3.9e-04 7.5e-04
female c | 1.0e-05 1.9e-04 2.4e-04 4.4e-04 3.3e-04 2.5e-04
foam or | 0 0 0 1.7e-05 1.6e-04 3.7e-05
standard | 6.1e-05 7.1e-05 8.5e-05 9.0e-05 7.2e-05 7.6e-05
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(52) = 2.33e+04
Design-based F(22.09, 6.3e+05)= 132.3921 P = 0.0000
.
. *highest educational level
.
. svy: tab v312 v106, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
------------------------------------------------------------
current |
contracep |
tive | highest educational level
method | no educa primary secondar higher Total
----------+-------------------------------------------------
not usin | .472 .4326 .4818 .5427 .4775
pill | .0242 .0486 .0479 .0285 .0381
iud | .0056 .0098 .0187 .0332 .0145
injectio | .0014 .0015 .0017 .0031 .0017
diaphrag | 6.3e-06 0 0 0 2.1e-06
condom | .0235 .0318 .0641 .1391 .0533
female s | .4234 .4208 .3226 .1851 .3569
male ste | .0027 .0028 .0025 .0023 .0026
rhythm/p | .0329 .0311 .0329 .0373 .0331
withdraw | .0138 .0202 .0263 .0267 .0212
lactatio | 5.1e-04 6.9e-04 9.6e-04 7.1e-04 7.5e-04
female c | 3.7e-05 1.6e-04 3.0e-04 8.8e-04 2.5e-04
foam or | 0 0 2.0e-05 2.8e-04 3.7e-05
standard | 4.2e-05 2.8e-05 1.2e-04 7.0e-05 7.6e-05
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(39) = 2.63e+04
Design-based F(23.29, 6.6e+05)= 214.7271 P = 0.0000
.
. *type of place of residence Urban/Rural
.
. svy: tab v312 v025, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
-------------------------------------
current |
contracep |
tive |type of place of residence
method | urban rural Total
----------+--------------------------
not usin | .4424 .4952 .4775
pill | .033 .0407 .0381
iud | .0223 .0105 .0145
injectio | .0021 .0015 .0017
diaphrag | 0 3.2e-06 2.1e-06
condom | .0853 .0371 .0533
female s | .3561 .3573 .3569
male ste | .0024 .0027 .0026
rhythm/p | .033 .0331 .0331
withdraw | .0224 .0206 .0212
lactatio | 5.5e-04 8.5e-04 7.5e-04
female c | 3.1e-04 2.2e-04 2.5e-04
foam or | 1.1e-04 0 3.7e-05
standard | 6.3e-05 8.3e-05 7.6e-05
|
Total | 1 1 1
-------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(13) = 7341.8978
Design-based F(9.16, 2.6e+05)= 112.1495 P = 0.0000
.
. *Question 3 : cross tabulation of created nominal variable with same variables as before*
.
. *religion
.
. svy: tab contra_use v130, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
------------------------------------------------------------------------------------------------------------------------
contra_us | religion
e | hindu muslim christia sikh buddhist jain jewish parsi/zo no relig other Total
----------+-------------------------------------------------------------------------------------------------------------
NO | .468 .5615 .5027 .283 .3407 .3896 .6974 .8138 .767 .5997 .4775
YES | .532 .4385 .4973 .717 .6593 .6104 .3026 .1862 .233 .4003 .5225
|
Total | 1 1 1 1 1 1 1 1 1 1 1
------------------------------------------------------------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 4041.9679
Design-based F(5.56, 1.6e+05)= 101.6813 P = 0.0000
.
. *wealth index
.
. svy: tab contra_use v190, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
----------------------------------------------------------------
contra_us | wealth index
e | poorest poorer middle richer richest Total
----------+-----------------------------------------------------
NO | .5938 .495 .4539 .4383 .4197 .4775
YES | .4062 .505 .5461 .5617 .5803 .5225
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 7834.6048
Design-based F(3.49, 99465.26)= 518.3884 P = 0.0000
.
. *highest educational level
.
. svy: tab contra_use v106, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
------------------------------------------------------------
contra_us | highest educational level
e | no educa primary secondar higher Total
----------+-------------------------------------------------
NO | .472 .4326 .4818 .5427 .4775
YES | .528 .5674 .5182 .4573 .5225
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 1570.9388
Design-based F(2.77, 79124.61)= 145.8316 P = 0.0000
.
. *type of place of residence Urban/Rural
.
. svy: tab contra_use v025, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
-------------------------------
| type of place of
contra_us | residence
e | urban rural Total
----------+--------------------
NO | .4424 .4952 .4775
YES | .5576 .5048 .5225
|
Total | 1 1 1
-------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(1) = 1333.0371
Design-based F(1, 28517) = 161.3837 P = 0.0000
. gen religion=.
(699686 missing values generated)
. replace religion=0 if v130==1
(519281 real changes made)
.
. replace religion=1 if v130==2
(94591 real changes made)
.
. replace religion=2 if v130==3
(52113 real changes made)
.
. replace religion=3 if v130==4
(15300 real changes made)
.
. replace religion=4 if v130==5
(8981 real changes made)
.
. replace religion=5 if v130==6
(1028 real changes made)
.
. replace religion=6 if v130==7
(7 real changes made)
.
. replace religion=7 if v130==8
(7 real changes made)
.
. replace religion=8 if v130==9
(399 real changes made)
. gen urban=.
(699686 missing values generated)
. replace urban=0 if v025==2
(494951 real changes made)
. replace urban=1 if v025==1
(204735 real changes made)
. gen wealth=.
(699686 missing values generated)
. replace wealth=0 if v190==1
(133249 real changes made)
.
. replace wealth=1 if v190==2
(149466 real changes made)
.
. replace wealth=2 if v190==3
(147168 real changes made)
.
. replace wealth=3 if v190==4
(138502 real changes made)
.
. replace wealth=4 if v190==5
(131301 real changes made)
. pwcorr contra_use religion ,obs sig
| contra~e religion
-------------+------------------
contra_use | 1.0000
|
| 5.3e+05
|
religion | -0.0476 1.0000
| 0.0000
| 5.3e+05 6.9e+05
|
. svy: regress contra_use religion
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 528683
Number of PSUs = 28492 Population size = 5433721.5
Design df = 28491
F( 1, 28491) = 5.04
Prob > F = 0.0247
R-squared = 0.0000
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
religion | .0046578 .0020743 2.25 0.025 .0005921 .0087234
_cons | .5218369 .0020516 254.35 0.000 .5178156 .5258582
------------------------------------------------------------------------------
. svy: regress contra_use i.religion
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 528683
Number of PSUs = 28492 Population size = 5433721.5
Design df = 28491
F( 8, 28484) = 160.40
Prob > F = 0.0000
R-squared = 0.0073
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
religion |
1 | -.0934687 .0051331 -18.21 0.000 -.1035299 -.0834076
2 | -.0346869 .0089181 -3.89 0.000 -.0521669 -.0172069
3 | .1849985 .0067944 27.23 0.000 .1716811 .1983158
4 | .1273295 .0139087 9.15 0.000 .1000678 .1545913
5 | .0784536 .0337088 2.33 0.020 .0123827 .1445245
6 | -.2293467 .217099 -1.06 0.291 -.654871 .1961776
7 | -.3457682 .2007248 -1.72 0.085 -.7391983 .047662
8 | -.299038 .0675893 -4.42 0.000 -.4315162 -.1665597
|
_cons | .5319962 .002082 255.52 0.000 .5279154 .5360769
------------------------------------------------------------------------------
. pwcorr contra_use wealth ,obs sig
| contra~e wealth
-------------+------------------
contra_use | 1.0000
|
| 5.3e+05
|
wealth | 0.1070 1.0000
| 0.0000
| 5.3e+05 7.0e+05
|
. svy: regress contra_use wealth
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
F( 1, 28517) = 1149.77
Prob > F = 0.0000
R-squared = 0.0124
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
wealth | .0398895 .0011764 33.91 0.000 .0375837 .0421953
_cons | .4407347 .0031353 140.57 0.000 .4345893 .4468801
------------------------------------------------------------------------------
. svy: regress contra_use i.wealth
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
F( 4, 28514) = 418.48
Prob > F = 0.0000
R-squared = 0.0147
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
wealth |
1 | .0988442 .0035876 27.55 0.000 .0918123 .105876
2 | .1399226 .0040454 34.59 0.000 .1319933 .1478518
3 | .1555114 .0045172 34.43 0.000 .1466575 .1643653
4 | .1741495 .0049703 35.04 0.000 .1644074 .1838915
|
_cons | .4061774 .003493 116.28 0.000 .3993311 .4130238
------------------------------------------------------------------------------
. pwcorr contra_use urban ,obs sig
| contra~e urban
-------------+------------------
contra_use | 1.0000
|
| 5.3e+05
|
urban | 0.0383 1.0000
| 0.0000
| 5.3e+05 7.0e+05
|
. svy: regress contra_use urban
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
F( 1, 28517) = 162.53
Prob > F = 0.0000
R-squared = 0.0025
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
urban | .0528071 .0041422 12.75 0.000 .0446883 .0609259
_cons | .5047694 .0023808 212.02 0.000 .5001029 .5094359
------------------------------------------------------------------------------
. pwcorr contra_use v106,obs sig
| contra~e v106
-------------+------------------
contra_use | 1.0000
|
| 5.3e+05
|
v106 | -0.0383 1.0000
| 0.0000
| 5.3e+05 7.0e+05
|
. svy: regress contra_use v106
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
F( 1, 28517) = 120.99
Prob > F = 0.0000
R-squared = 0.0010
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
v106 | -.0155308 .0014119 -11.00 0.000 -.0182983 -.0127634
_cons | .5424335 .0027752 195.45 0.000 .5369939 .5478731
------------------------------------------------------------------------------
. svy: regress contra_use i.v106
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 534746
Number of PSUs = 28518 Population size = 5460608.5
Design df = 28517
F( 3, 28515) = 140.60
Prob > F = 0.0000
R-squared = 0.0029
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
v106 |
primary | .0393917 .0034422 11.44 0.000 .0326447 .0461386
secondary | -.0098847 .0031193 -3.17 0.002 -.0159986 -.0037708
higher | -.0707888 .0053404 -13.26 0.000 -.0812563 -.0603214
|
_cons | .5280411 .0028007 188.54 0.000 .5225515 .5335307
------------------------------------------------------------------------------
. pwcorr contra_use religion wealth urban v106,obs sig
| contra~e religion wealth urban v106
-------------+---------------------------------------------
contra_use | 1.0000
|
| 5.3e+05
|
religion | -0.0476 1.0000
| 0.0000
| 5.3e+05 6.9e+05
|
wealth | 0.1070 0.1089 1.0000
| 0.0000 0.0000
| 5.3e+05 6.9e+05 7.0e+05
|
urban | 0.0383 0.0415 0.4812 1.0000
| 0.0000 0.0000 0.0000
| 5.3e+05 6.9e+05 7.0e+05 7.0e+05
|
v106 | -0.0383 0.0464 0.4644 0.2322 1.0000
| 0.0000 0.0000 0.0000 0.0000
| 5.3e+05 6.9e+05 7.0e+05 7.0e+05 7.0e+05
|
. svy : reg contra_use religion wealth urban v106
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 528683
Number of PSUs = 28492 Population size = 5433721.5
Design df = 28491
F( 4, 28488) = 763.21
Prob > F = 0.0000
R-squared = 0.0231
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
religion | -.00534 .0020588 -2.59 0.009 -.0093754 -.0013046
wealth | .063567 .0013067 48.65 0.000 .0610058 .0661281
urban | -.0097091 .0043394 -2.24 0.025 -.0182145 -.0012037
v106 | -.0582158 .0014196 -41.01 0.000 -.0609983 -.0554333
_cons | .471966 .0033015 142.96 0.000 .465495 .4784371
------------------------------------------------------------------------------
. svy : reg contra_use i.religion i.wealth i.urban i.v106
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 528683
Number of PSUs = 28492 Population size = 5433721.5
Design df = 28491
F( 16, 28476) = 315.59
Prob > F = 0.0000
R-squared = 0.0349
------------------------------------------------------------------------------
| Linearized
contra_use | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
religion |
1 | -.1124178 .0052565 -21.39 0.000 -.1227208 -.1021149
2 | -.0382763 .0086081 -4.45 0.000 -.0551486 -.021404
3 | .1207465 .0068365 17.66 0.000 .1073468 .1341463
4 | .1166693 .0140934 8.28 0.000 .0890456 .144293
5 | .059261 .0326903 1.81 0.070 -.0048136 .1233356
6 | -.2973817 .2278157 -1.31 0.192 -.7439112 .1491478
7 | -.4194228 .2306683 -1.82 0.069 -.8715436 .0326979
8 | -.29158 .0707946 -4.12 0.000 -.4303408 -.1528193
|
wealth |
1 | .1153062 .0036492 31.60 0.000 .1081535 .1224589
2 | .1701952 .0042473 40.07 0.000 .1618703 .1785201
3 | .2074702 .0047377 43.79 0.000 .1981841 .2167563
4 | .2618179 .0055151 47.47 0.000 .251008 .2726279
|
1.urban | .0112805 .0042634 2.65 0.008 .002924 .0196371
|
v106 |
primary | .0006887 .0033685 0.20 0.838 -.0059137 .0072912
secondary | -.0964424 .0030995 -31.12 0.000 -.1025177 -.0903672
higher | -.218097 .0052262 -41.73 0.000 -.2283406 -.2078534
|
_cons | .4393597 .0036795 119.41 0.000 .4321478 .4465717
------------------------------------------------------------------------------
. log close
name: <unnamed>
log: C:\Users\vkasa\Desktop\f2.log
log type: text
closed on: 24 Oct 2018, 22:49:20
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