Table A1

Distance to Primary School and Child Labor (dependent variable: work)

(1)(2)(3)(4)
Distance to primary school0.422***0.184_0.131_0.258
(0.140)(0.225)(0.231)(0.229)
Girl8.0042***8.4642***8.2562***5.1992***
(1.852)(1.972)(1.943)(1.753)
Age811.482***11.462***11.432***9.1402***
(1.947)(2.063)(2.051)(1.881)
Age 914.632***14.362***14.062***11.302***
(1.982)(2.025)(2.006)(1.833)
Age 1018.912***19.182***19.382***17.062***
(1.877)(1.897)(1.873)(1.718)
Age 1119.612***19.492***19.162***18.012***
(2.116)(2.171)(2.154)(1.945)
Age 1220.882***_5.7892***_6.5702***_3.7622**
(1.918)(1.709)(1.704)(1.663)
Age 1324.242***_2.564_2.874—
(2.006)(1.909)(1.895)—
Age 1426.832***——2.985*
(2.006)——(1.726)
Daughter of head_0.866_1.570_1.2952.015
(2.112)(2.225)(2.191)(1.988)
Child of spouse6.066*5.6236.725*6.4022**
(3.298)(3.515)(3.490)(3.129)
Grandchild of head/spouse1.3690.4580.2440.703
(1.886)(2.546)(2.520)(2.193)
Other relative2.2482.7262.9492.306
(2.064)(2.398)(2.375)(2.079)
Other nonrelative20.49*16.832**17.702**7.718
(11.55)(7.140)(6.908)(7.571)
Age of the head_0.0359_0.0249_0.00619
(0.0778)(0.0765)(0.0628)
Age of the head’s spouse_0.0521_0.05770.0433
(0.0913)(0.0906)(0.0742)
Gender of the head1.7080.824_3.941
(2.768)(2.724)(2.412)
Owns land0.07082***0.06232**0.0172
(0.0274)(0.0263)(0.0328)
Number of rooms0.04370.09840.00937
(0.312)(0.307)(0.288)
Number of cattle owned_0.00974_0.0212_0.0281
(0.0430)(0.0440)(0.0405)
Number of sheep owned0.00788*0.009032**0.01502***
(0.00442)(0.00455)(0.00482)
Head had fewer meals than usual_3.3052**_2.866*_0.776
(1.546)(1.539)(1.403)
Number of meals per day3.2712**3.3342***_0.924
(1.273)(1.267)(1.326)
Has electricity3.4863.0495.387*
(3.773)(3.666)(3.095)
Head’s highest completed grade (excluding no education)
Standard 110.479.2037.914
(6.458)(6.637)(6.672)
Standard 26.8316.8578.433*
(5.038)(4.765)(4.498)
Standard 3_2.767_2.951_2.116
(5.483)(5.495)(4.042)
Standard 4_1.216_1.428_2.357
(2.456)(2.403)(2.051)
Standard 56.2105.692_0.762
(5.516)(5.438)(5.054)
Standard 6_0.352_0.440_3.701
(4.339)(4.316)(3.739)
Standard 7_1.347_1.4510.922
(1.956)(1.933)(1.689)
Standard 8_1.753_1.866_6.673
(4.449)(4.443)(4.261)
Post-primary course10.562**10.942**9.022*
(5.103)(4.981)(4.637)
Formal 119.722**20.332***19.602***
(8.579)(7.721)(6.341)
Formal 2_29.362**_25.73*_27.192***
(14.19)(15.47)(8.468)
Formal 321.2916.9513.38
(16.11)(16.25)(22.02)
Formal 4_12.452***_11.212**_6.470*
(4.441)(4.379)(3.750)
Post-secondary course10.2610.169.383*
(6.798)(6.666)(5.084)
Formal 523.7823.22*18.89*
(15.20)(13.48)(10.16)
Formal 6_2.4710.1717.449
(14.53)(13.81)(9.145)
Post formal 6 course1.289_0.906_14.86
(18.09)(18.52)(18.35)
Diploma course_8.174_7.238_3.831
(9.829)(10.22)(8.321)
Other certificate10.5711.212.710
(8.870)(8.455)(7.082)
University degree15.4813.5014.57
(11.02)(11.05)(12.10)
Adult education only2.0082.2700.230
(3.425)(3.386)(2.751)
Owns land0.07082***0.06232**0.0172
(0.0274)(0.0263)(0.0328)
Number of rooms0.04370.09840.00937
(0.312)(0.307)(0.288)
Number of cattle owned_0.00974_0.0212_0.0281
(0.0430)(0.0440)(0.0405)
Number of sheep owned0.00788*0.009032**0.01502***
(0.00442)(0.00455)(0.00482)
Head had fewer meals than usual_3.3052**_2.866*_0.776
(1.546)(1.539)(1.403)
Number of meals per day3.2712**3.3342***_0.924
(1.273)(1.267)(1.326)
Has electricity3.4863.0495.387*
(3.773)(3.666)(3.095)
Type of Toilet (excluding no toilet)
Flush toilet_13.20*_13.50*_2.197
(7.402)(7.614)(6.965)
Pit latrine_8.5682***_8.1552***3.186
(2.455)(2.569)(2.594)
VIP_21.782**_19.25*7.071
(9.871)(9.822)(8.151)
Other17.892***16.832***4.120
(5.745)(5.963)(7.421)
Type of floor (excluding earth)
Concrete/Cement_2.576_2.323_0.446
(2.333)(2.319)(1.945)
Other4.5054.8661.869
(5.812)(5.767)(5.053)
Type of walls (excluding poles)
Poles and mud3.941*4.032*5.1492**
(2.068)(2.075)(2.033)
Mud only2.3952.5071.911
(2.252)(2.268)(2.455)
Mud bricks0.4591.3790.0337
(2.107)(2.145)(2.244)
Backed/burnt bricks_1.865_1.2100.989
(2.558)(2.570)(2.811)
Concrete/cement_3.029_3.066_0.689
(4.110)(4.091)(3.492)
Other4.9654.150_3.843
(7.004)(7.174)(7.715)
Type of roof (excluding grass/leaves)
Mud and grass_2.192_3.024_1.886
(2.247)(2.252)(2.869)
Metal sheets_2.019_2.674_1.121
(1.773)(1.753)(1.633)
Asbestos sheets_13.74_18.05_10.03
(13.28)(13.36)(14.07)
Tiles20.8319.38_0.643
(19.86)(20.19)(22.12)
Other4.5771.916_15.582**
(6.965)(6.867)(6.718)
Type of water access (excluding private, in house)
Private, outside2.9501.943_7.128
(6.225)(6.138)(5.809)
Neighbor_3.928_5.396_8.000
(6.799)(6.715)(6.154)
In community_0.892_1.022_3.624
(5.666)(5.628)(5.488)
Rain catchment_16.38_16.22_9.327
(12.65)(13.67)(12.41)
Public well protected_3.893_3.824_6.477
(5.814)(5.779)(5.894)
Public well unprotected_2.720_3.054_3.806
(5.703)(5.664)(5.753)
Private well protected_8.569_7.654_7.419
(7.375)(7.303)(6.904)
Private well unprotected_6.164_6.808_8.575
(6.665)(6.672)(6.704)
Spring protected8.5596.523_5.194
(6.635)(6.616)(7.088)
Spring unprotected2.8812.051_1.245
(5.787)(5.726)(5.745)
River/dam/lake_5.095_4.319_6.283
(5.774)(5.742)(5.926)
Other1.7191.5843.438
(11.84)(10.47)(10.11)
Distance to nearest facilities
Police0.03580.0267
(0.0366)(0.0386)
Traditional birth attendant0.4052***0.296
(0.107)(0.187)
Religious center0.422_0.142
(0.295)(0.268)
Primary court0.1992***0.0808
(0.0480)(0.0834)
Hospital0.0188_0.09292**
(0.0344)(0.0381)
Water source (dry season)0.2452**_0.0436
(0.119)(0.0757)
Firewood source0.0639_0.0944
(0.0694)(0.0826)
Market0.3722***_0.0197
(0.126)(0.171)
Shop0.06820.167
(0.197)(0.212)
Health center_0.106_0.0382
(0.110)(0.117)
Secondary school_0.2372***0.0111
(0.0471)(0.0757)
Bank_0.01070.08922**
(0.0346)(0.0434)
Post office_0.0499_0.0462
(0.0384)(0.0504)
Public transport_0.142*0.00304
(0.0841)(0.117)
Milling machine0.3252**0.7262***
(0.138)(0.262)
Community center_0.0296_0.107
(0.105)(0.110)
Cooperative society_0.0601_0.1632**
(0.0490)(0.0649)
Seasonal dummies (excluding January)
February_3.601_1.659_2.546_1.037
(3.913)(4.636)(4.581)(4.303)
March_10.302**_9.0732**_9.6222**_9.8042**
(4.258)(4.567)(4.537)(4.377)
April_0.364_0.0376_0.6140.355
(4.154)(5.288)(5.118)(4.528)
May_5.566*_3.297_2.805_0.484
(3.326)(4.193)(4.088)(3.880)
June_0.126_1.050_0.776_1.210
(4.610)(5.842)(5.673)(5.448)
July_4.942_4.672_4.536_3.238
(3.070)(3.991)(3.862)(3.668)
August_2.038_0.366_0.03470.823
(3.076)(4.052)(3.921)(3.682)
September0.8831.5621.5243.612
(3.087)(4.057)(3.937)(3.700)
October_0.509_0.124_0.2651.489
(3.073)(4.023)(3.895)(3.678)
November1.0880.5390.4962.832
(3.091)(4.069)(3.941)(3.685)
December2.7281.9651.6292.562
(3.243)(4.245)(4.119)(3.813)
Household composition
3 members2.5302.2752.839
(4.973)(5.017)(5.010)
4 members3.8043.2203.300
(4.816)(4.865)(4.930)
5 members5.1464.7712.578
(4.750)(4.797)(4.870)
6 members8.313*7.3564.611
(4.768)(4.818)(4.883)
7 members6.3385.7202.404
(4.785)(4.840)(4.930)
8 members6.0294.8802.402
(4.852)(4.901)(4.963)
9 members8.989*7.9044.410
(4.936)(4.986)(5.026)
10 members10.802**9.503*3.640
(5.242)(5.288)(5.237)
11 members11.682**10.802**4.626
(5.473)(5.489)(5.443)
12 members13.442**12.602**5.378
(5.607)(5.671)(5.639)
13 members9.979*8.9050.0986
(5.706)(5.725)(5.768)
14 members4.5114.5810.220
(6.360)(6.422)(6.050)
15 members14.27*11.533.797
(7.671)(8.066)(7.510)
16 members10.74*8.649_0.331
(6.088)(6.074)(5.956)
17 members11.486.456_6.648
(9.334)(10.02)(11.61)
18 members_16.822**_16.502**_21.842**
(7.489)(7.277)(8.914)
19 members12.6311.699.325
(7.853)(7.742)(7.489)
20 members34.612***34.612***26.40
(11.69)(12.17)(16.62)
21 members34.2833.306.522
(24.50)(25.52)(20.08)
22 members45.202***39.232***21.792***
(16.35)(12.33)(8.180)
23 members28.672***28.052***_20.57*
(5.684)(5.790)(11.84)
24 members_2.906_5.324_5.197
(6.022)(5.735)(10.20)
25 members55.482***58.852***43.682***
(12.77)(14.56)(10.62)
26 members20.1521.924.043
(16.73)(16.96)(9.042)
28 members57.842***54.272***16.812**
(5.428)(5.615)(8.539)
29 members_23.312**_20.37*_37.992**
(10.54)(11.78)(14.83)
30 members15.5913.8618.07
(23.11)(23.39)(13.26)
31 members44.632***44.462***21.502**
(10.78)(10.77)(10.91)
32 members17.242**19.532**_0.707
(7.736)(8.387)(15.56)
40 members22.922***18.322***15.72
(5.549)(6.305)(11.32)
Village fixed effectsnononoyes

Notes: The table reports the OLS coefficient on distance to primary school (multiplied by 100, in Row 1) and a number of observable characteristics of a regression on work. Rows refer to different dependent variables while columns to different specifications. Number of observations: 8,642. Standard errors clustered by household in brackets. *** significant at 1 percent, ** significant at 5 percent, * significant at 10 percent.