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Convincing the Mummy-ji: Improving Mother-in-Law Approval of Family Planning in India

icpsr_169141

S Anukriti, Catalina Herrera-Almanza, Mahesh Karra, Rocio Valdebenito (2022). AEA Papers and Proceedings 2022, 112: 568-572

DOI: 10.1257/pandp.20221122

field value
venue AEA Papers and Proceedings 2022, 112: 568-572
paper 10.1257/pandp.20221122
replication data openICPSR 169141
data license CC BY 4.0 (openICPSR project page 169141 (maintainer-read 2026-07-20)) — “This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.”
regression datasets (in this corpus) 5
graduated / eligible / exported 5 / 9 / 14 (policy claims_manual_regression_cap)
routed / gap / residue (at source) 9 / 0 / 0

Claims & tasks

Every claim the paper makes in its main body about a parameter, joined to the benchmark task (dataset · coefficient) that captures it. The effect, s.e. and p are the captured regression's own reported values (the paper's Stata figures, carrying the paper's SE method); the row shows the paper's verbatim quote (page · exhibit), so you can confirm the regression matches what the paper says. The prominence column is the within-study inclusion signal (⭐ headline → primary → secondary). The sensitivity column is the privacy level of the most-sensitive variable in the regression (🔴 high / 🟠 medium / ⚪ low).

# prominence sensitivity claim effect s.e. p task instance (dataset · coef)
C1 ⭐ primary 🔴 high Relative to control women, women who received a voucher are 8 percentage points, or 11 percent, more likely to believe that their MIL approves of FP at endline.
p. 4 · Table 2, col 1 (MIL approves FP (1))
+0.081 0.044 0.069 Linear Regression reg_1 · treat
n=420 · d=46
C2 secondary 🔴 high In comparison, there was no impact of the voucher on husband approval of FP.
p. 4 · Table 2, col 2 (Husband approves FP (2))
-0.012 0.033 0.723 Linear Regression reg_3 · treat
n=419 · d=46
C3 secondary 🔴 high Although we observe positive but insignificant impact on the likelihood of such discussions taking place, there was a significant increase in the probability that treated women initiated discussions about FP with their MILs relative to control women.
p. 4 · Table 2, col 3 (Ever discussed FP with MIL (3))
+0.044 0.050 0.386 Linear Regression reg_4 · treat
n=420 · d=46
C4 secondary 🔴 high Although we observe positive but insignificant impact on the likelihood of such discussions taking place, there was a significant increase in the probability that treated women initiated discussions about FP with their MILs relative to control women.
p. 4 · Table 2, col 4 (Initiated FP discussion with MIL (4))
+0.085 0.042 0.045 Linear Regression reg_5 · treat
n=416 · d=46
C5 secondary 🔴 high Moreover, our intervention significantly increased the likelihood of treated women visiting a clinic for FP services,12 suggesting that the improvement in MIL approval is potentially a relevant mechanism for the impact of vouchers.13 In Table 3, we explore heterogeneity in the impact on MIL approval by baseline characteristics of our sample women.
p. 4 · Table 2, col 5 (Visited clinic for FP (5))
+0.153 0.048 0.001 Linear Regression reg_6 · treat
n=418 · d=45

Regression datasets

The 5 regression dataset(s) graduated into the benchmark corpus from this study's replication package — each backs one or more claims above. Expand each for its features, response, (sound, data-independent) public bounds, and reproduction grade.

icpsr_169141_reg_1 — mil_approve_fp_endline ~ treat + base_mil_approve_fp + base_age + base_w_hindu + base_scs…

Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually). Reproduction grade:match (benchmark-eligible).

Features

name description type sensitivity bound lo bound hi estimate s.e.
_cons intercept continuous 1 1 -0.04058 0.444
treat treatment/voucher arm assignment continuous ⚪ low 0.0 1.0 +0.08079 0.0443
base_mil_approve_fp baseline: MIL approves of family planning continuous 🟠 medium 0.0 1.0 +0.1363 0.0517
base_age respondent age at baseline continuous 🟠 medium 0.0 120.0 +0.01804 0.0122
base_w_hindu baseline religion indicator: Hindu continuous 🔴 high 0.0 1.0 +0.1957 0.108
base_scst baseline caste category: Scheduled Caste/Tribe continuous 🔴 high 0.0 1.0 +0.08016 0.0818
base_obc baseline caste category: Other Backward Class continuous 🔴 high 0.0 1.0 +0.04705 0.0863
base_ghunghat baseline practice of veiling (ghunghat) before elders continuous 🟠 medium 0.0 1.0 -0.06003 0.0733
base_work baseline employment/work status continuous 🟠 medium 0.0 1.0 +0.1323 0.0706
base_mobi baseline mobility/freedom-of-movement score continuous 🟠 medium -0.01262 0.0162
base_ever_visit_fp baseline: ever visited an FP clinic continuous 🟠 medium 0.0 1.0 +0.06489 0.0518
asset_score household asset/wealth index score continuous 🔴 high +0.01311 0.0176
base_school_yrs baseline years of schooling completed continuous 🟠 medium 0.0 25.0 -0.001579 0.00617
base_current_fp baseline current family-planning method use continuous 🟠 medium 0.0 1.0 +0.04642 0.0458
base_wants_child baseline: respondent wants (more) children continuous 🟠 medium 0.0 1.0 +0.03255 0.0542
base_num_friend baseline number of friends continuous 🟠 medium -0.003912 0.0261
base_duration_marriage years married at baseline continuous 🟠 medium -0.01683 0.00993
dowry dowry amount or indicator given at marriage continuous 🔴 high -0.05656 0.0724
base_livewMIL baseline: lives with mother-in-law continuous 🟠 medium 0.0 1.0 +0.01592 0.0627
base_at_least_1_son baseline indicator of having at least one son continuous 🟠 medium 0.0 1.0 +0.09938 0.0589
2.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1915 0.354
3.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.01563 0.344
4.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.06045 0.35
5.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.07832 0.351
6.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.01544 0.335
7.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.04093 0.353
8.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.002848 0.329
9.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1109 0.346
10.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.2518 0.409
11.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.4036 0.413
12.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.6277 0.334
13.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1591 0.373
14.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1035 0.334
15.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1375 0.363
16.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.05078 0.358
17.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.186 0.333
18.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1684 0.334
19.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.0398 0.347
20.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1291 0.35
21.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1977 0.341
22.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1059 0.345
23.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.6375 0.34
24.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.06685 0.374
25.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.09774 0.384
26.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.08174 0.342
27.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2276 0.33
28.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.07124 0.334

Response

name description type sensitivity bound lo bound hi estimate s.e.
mil_approve_fp_endline endline: MIL approves of family planning continuous 🟠 medium 0.0 1.0

Public bounds (data-independent) sourced from: binary indicator; plausible human age range; plausible maximum years of formal schooling.

n = 420 samples.

icpsr_169141_reg_3 — hus_approvefp ~ treat + base_husb_approve_fp + base_age + base_w_hindu + base_scst + base…

Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually). Reproduction grade:match (benchmark-eligible).

Features

name description type sensitivity bound lo bound hi estimate s.e.
_cons intercept continuous 1 1 +1.285 0.241
treat treatment/voucher arm assignment continuous ⚪ low 0.0 1.0 -0.01171 0.033
base_husb_approve_fp baseline: husband approves of family planning continuous 🟠 medium 0.0 1.0 +0.1373 0.0727
base_age respondent age at baseline continuous 🟠 medium 0.0 120.0 -0.008686 0.00885
base_w_hindu baseline religion indicator: Hindu continuous 🔴 high 0.0 1.0 -0.04367 0.0666
base_scst baseline caste category: Scheduled Caste/Tribe continuous 🔴 high 0.0 1.0 -0.03732 0.049
base_obc baseline caste category: Other Backward Class continuous 🔴 high 0.0 1.0 -0.03032 0.0482
base_ghunghat baseline practice of veiling (ghunghat) before elders continuous 🟠 medium 0.0 1.0 -0.056 0.0507
base_work baseline employment/work status continuous 🟠 medium 0.0 1.0 +0.0377 0.0442
base_mobi baseline mobility/freedom-of-movement score continuous 🟠 medium -0.004045 0.0124
base_ever_visit_fp baseline: ever visited an FP clinic continuous 🟠 medium 0.0 1.0 +0.04004 0.0337
asset_score household asset/wealth index score continuous 🔴 high +0.02334 0.0114
base_school_yrs baseline years of schooling completed continuous 🟠 medium 0.0 25.0 -0.001139 0.00472
base_current_fp baseline current family-planning method use continuous 🟠 medium 0.0 1.0 +0.0248 0.0334
base_wants_child baseline: respondent wants (more) children continuous 🟠 medium 0.0 1.0 -0.05456 0.0386
base_num_friend baseline number of friends continuous 🟠 medium -0.007829 0.0186
base_duration_marriage years married at baseline continuous 🟠 medium +0.001003 0.00729
dowry dowry amount or indicator given at marriage continuous 🔴 high -0.03556 0.0485
base_livewMIL baseline: lives with mother-in-law continuous 🟠 medium 0.0 1.0 -0.06776 0.0405
base_at_least_1_son baseline indicator of having at least one son continuous 🟠 medium 0.0 1.0 -0.008765 0.0418
2.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.00918 0.0645
3.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.07568 0.0904
4.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.06353 0.0945
5.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.04812 0.108
6.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1411 0.0951
7.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.03178 0.114
8.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1098 0.0618
9.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.05785 0.112
10.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.01375 0.0659
11.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1742 0.156
12.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.7301 0.107
13.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1802 0.183
14.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.02858 0.0764
15.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.009208 0.0683
16.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.05708 0.0758
17.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.148 0.197
18.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.04466 0.0684
19.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.01201 0.0993
20.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.02503 0.0672
21.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.09802 0.115
22.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.07054 0.109
23.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2305 0.0878
24.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1511 0.171
25.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.2132 0.19
26.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.08126 0.0977
27.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.02396 0.0645
28.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.02848 0.0751

Response

name description type sensitivity bound lo bound hi estimate s.e.
hus_approvefp endline: husband approves of family planning continuous 🟠 medium 0.0 1.0

Public bounds (data-independent) sourced from: binary indicator; plausible human age range; plausible maximum years of formal schooling.

n = 419 samples.

icpsr_169141_reg_4 — mil_discussFP ~ treat + base_MIL_discussFP + base_age + base_w_hindu + base_scst + base_o…

Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually). Reproduction grade:match (benchmark-eligible).

Features

name description type sensitivity bound lo bound hi estimate s.e.
_cons intercept continuous 1 1 -0.7459 0.374
treat treatment/voucher arm assignment continuous ⚪ low 0.0 1.0 +0.04364 0.0503
base_MIL_discussFP baseline: MIL discussed family planning continuous 🟠 medium 0.0 1.0 +0.1512 0.0525
base_age respondent age at baseline continuous 🟠 medium 0.0 120.0 +0.01245 0.0143
base_w_hindu baseline religion indicator: Hindu continuous 🔴 high 0.0 1.0 +0.07694 0.0962
base_scst baseline caste category: Scheduled Caste/Tribe continuous 🔴 high 0.0 1.0 +0.08451 0.0983
base_obc baseline caste category: Other Backward Class continuous 🔴 high 0.0 1.0 -0.05705 0.0977
base_ghunghat baseline practice of veiling (ghunghat) before elders continuous 🟠 medium 0.0 1.0 +0.01662 0.0818
base_work baseline employment/work status continuous 🟠 medium 0.0 1.0 +0.172 0.0852
base_mobi baseline mobility/freedom-of-movement score continuous 🟠 medium -0.0254 0.018
base_ever_visit_fp baseline: ever visited an FP clinic continuous 🟠 medium 0.0 1.0 +0.0005916 0.0568
asset_score household asset/wealth index score continuous 🔴 high +0.01341 0.0186
base_school_yrs baseline years of schooling completed continuous 🟠 medium 0.0 25.0 -0.008269 0.00648
base_current_fp baseline current family-planning method use continuous 🟠 medium 0.0 1.0 +0.09971 0.0507
base_wants_child baseline: respondent wants (more) children continuous 🟠 medium 0.0 1.0 +0.1158 0.0618
base_num_friend baseline number of friends continuous 🟠 medium -0.03465 0.0251
base_duration_marriage years married at baseline continuous 🟠 medium -0.01334 0.0114
dowry dowry amount or indicator given at marriage continuous 🔴 high +0.2104 0.0789
base_livewMIL baseline: lives with mother-in-law continuous 🟠 medium 0.0 1.0 +0.03242 0.0635
base_at_least_1_son baseline indicator of having at least one son continuous 🟠 medium 0.0 1.0 +0.05147 0.0631
2.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5647 0.201
3.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.52 0.162
4.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.45 0.198
5.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.8118 0.158
6.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6153 0.145
7.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6239 0.207
8.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5763 0.131
9.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.518 0.218
10.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2986 0.273
11.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.07493 0.144
12.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1271 0.155
13.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.8928 0.206
14.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.771 0.14
15.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.169 0.164
16.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4517 0.206
17.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6002 0.257
18.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5579 0.176
19.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.809 0.193
20.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6293 0.237
21.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6315 0.185
22.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6378 0.218
23.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1125 0.16
24.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6992 0.232
25.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.7452 0.244
26.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.7375 0.148
27.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.8024 0.216
28.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5045 0.145

Response

name description type sensitivity bound lo bound hi estimate s.e.
mil_discussFP endline: MIL discussed family planning continuous 🟠 medium 0.0 1.0

Public bounds (data-independent) sourced from: binary indicator; plausible human age range; plausible maximum years of formal schooling.

n = 420 samples.

icpsr_169141_reg_5 — DIL_iniatedFPdiscuss ~ treat + base_DIL_iniatedFPdiscuss + base_age + base_w_hindu + base…

Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually). Reproduction grade:match (benchmark-eligible).

Features

name description type sensitivity bound lo bound hi estimate s.e.
_cons intercept continuous 1 1 -0.1202 0.304
treat treatment/voucher arm assignment continuous ⚪ low 0.0 1.0 +0.08458 0.0421
base_DIL_iniatedFPdiscuss baseline: DIL initiated FP discussion with MIL continuous 🟠 medium 0.0 1.0 +0.04198 0.0519
base_age respondent age at baseline continuous 🟠 medium 0.0 120.0 -0.001243 0.0119
base_w_hindu baseline religion indicator: Hindu continuous 🔴 high 0.0 1.0 +0.06181 0.0831
base_scst baseline caste category: Scheduled Caste/Tribe continuous 🔴 high 0.0 1.0 +0.03602 0.0858
base_obc baseline caste category: Other Backward Class continuous 🔴 high 0.0 1.0 +0.01124 0.085
base_ghunghat baseline practice of veiling (ghunghat) before elders continuous 🟠 medium 0.0 1.0 +0.04774 0.0575
base_work baseline employment/work status continuous 🟠 medium 0.0 1.0 +0.1164 0.0668
base_mobi baseline mobility/freedom-of-movement score continuous 🟠 medium -0.01524 0.0142
base_ever_visit_fp baseline: ever visited an FP clinic continuous 🟠 medium 0.0 1.0 -0.05071 0.0525
asset_score household asset/wealth index score continuous 🔴 high +0.004997 0.0149
base_school_yrs baseline years of schooling completed continuous 🟠 medium 0.0 25.0 -0.003986 0.00523
base_current_fp baseline current family-planning method use continuous 🟠 medium 0.0 1.0 -0.003169 0.0433
base_wants_child baseline: respondent wants (more) children continuous 🟠 medium 0.0 1.0 -0.03126 0.0476
base_num_friend baseline number of friends continuous 🟠 medium -0.05412 0.0204
base_duration_marriage years married at baseline continuous 🟠 medium -0.006226 0.00994
dowry dowry amount or indicator given at marriage continuous 🔴 high +0.1019 0.063
base_livewMIL baseline: lives with mother-in-law continuous 🟠 medium 0.0 1.0 +0.06315 0.0505
base_at_least_1_son baseline indicator of having at least one son continuous 🟠 medium 0.0 1.0 +0.04259 0.0517
2.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.155 0.145
3.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.174 0.133
4.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2853 0.181
5.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4878 0.168
6.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2521 0.124
7.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2658 0.169
8.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1343 0.108
9.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.06754 0.153
10.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2363 0.253
11.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.024 0.12
12.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.1315 0.129
13.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.08273 0.104
14.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3399 0.126
15.base_village_num village identifier used as randomization strata/FE categorical ⚪ low -0.01125 0.12
16.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4333 0.187
17.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1592 0.197
18.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.04685 0.129
19.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3116 0.157
20.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4845 0.202
21.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.277 0.204
22.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2382 0.185
23.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.03992 0.127
24.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.407 0.217
25.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6255 0.234
26.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1615 0.126
27.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.6471 0.232
28.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1742 0.115

Response

name description type sensitivity bound lo bound hi estimate s.e.
DIL_iniatedFPdiscuss endline: DIL initiated family-planning discussion with MIL continuous 🟠 medium 0.0 1.0

Public bounds (data-independent) sourced from: binary indicator; plausible human age range; plausible maximum years of formal schooling.

n = 416 samples.

icpsr_169141_reg_6 — visit_any_fp_new_corr ~ treat + base_age + base_w_hindu + base_scst + base_obc + base_ghu…

Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually). Reproduction grade:match (benchmark-eligible).

Features

name description type sensitivity bound lo bound hi estimate s.e.
_cons intercept continuous 1 1 -0.01965 0.34
treat treatment/voucher arm assignment continuous ⚪ low 0.0 1.0 +0.1531 0.0476
base_age respondent age at baseline continuous 🟠 medium 0.0 120.0 -0.0173 0.0128
base_w_hindu baseline religion indicator: Hindu continuous 🔴 high 0.0 1.0 +0.03406 0.0963
base_scst baseline caste category: Scheduled Caste/Tribe continuous 🔴 high 0.0 1.0 +0.02918 0.0805
base_obc baseline caste category: Other Backward Class continuous 🔴 high 0.0 1.0 -0.03507 0.0849
base_ghunghat baseline practice of veiling (ghunghat) before elders continuous 🟠 medium 0.0 1.0 -0.04291 0.0849
base_work baseline employment/work status continuous 🟠 medium 0.0 1.0 +0.03648 0.0684
base_mobi baseline mobility/freedom-of-movement score continuous 🟠 medium +0.01667 0.0164
base_ever_visit_fp baseline: ever visited an FP clinic continuous 🟠 medium 0.0 1.0 +0.0884 0.0518
asset_score household asset/wealth index score continuous 🔴 high +0.01558 0.0158
base_school_yrs baseline years of schooling completed continuous 🟠 medium 0.0 25.0 -0.000348 0.00577
base_current_fp baseline current family-planning method use continuous 🟠 medium 0.0 1.0 +0.05199 0.0473
base_wants_child baseline: respondent wants (more) children continuous 🟠 medium 0.0 1.0 +0.03783 0.0546
base_num_friend baseline number of friends continuous 🟠 medium +0.03587 0.0267
base_duration_marriage years married at baseline continuous 🟠 medium -0.001434 0.00983
dowry dowry amount or indicator given at marriage continuous 🔴 high +0.1039 0.0686
base_livewMIL baseline: lives with mother-in-law continuous 🟠 medium 0.0 1.0 +0.00148 0.0598
base_at_least_1_son baseline indicator of having at least one son continuous 🟠 medium 0.0 1.0 +0.09958 0.0581
2.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1585 0.151
3.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3777 0.12
4.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4394 0.178
5.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4051 0.137
6.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3064 0.102
7.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2035 0.164
8.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3566 0.0933
9.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1849 0.128
10.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1032 0.101
11.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2212 0.149
12.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1345 0.117
13.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4383 0.164
14.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.4848 0.106
15.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.546 0.187
16.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3228 0.17
17.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.1238 0.0933
18.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3104 0.138
19.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5605 0.154
20.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.2287 0.143
21.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3552 0.154
22.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3911 0.152
23.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +1.051 0.124
24.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.392 0.169
25.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3223 0.184
26.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.3801 0.123
27.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.5812 0.23
28.base_village_num village identifier used as randomization strata/FE categorical ⚪ low +0.282 0.0975

Response

name description type sensitivity bound lo bound hi estimate s.e.
visit_any_fp_new_corr endline: visited any FP clinic for services continuous 🟠 medium 0.0 1.0

Public bounds (data-independent) sourced from: binary indicator; plausible human age range; plausible maximum years of formal schooling.

n = 418 samples.