Appendix Table A1.

Coefficient Estimates from First Stage Regressions or IV-Regress and Conventional Matching Models^†

Dependent Variable: Whether or not mother experienced physical intimate partner violence in past 12 months

	Linear Probability Model		Conventioal Matching (Probit)
Instruments
mother’s partner experienced violence as child	0.1282	***	0.4502	***
	(0.0093)		(0.0220)
Child variables:
child is female	0.0030		0.0103
	(0.0050)		(0.0263)
child’s age	−0.0151	+	−0.0551
	(0.0083)		(0.0345)
child’s age-squared	0.0468		0.1703
	(0.0413)		(0.1748)
child is son/daughter of HH head	−0.0309	*	−0.1099	**
	(0.0149)		(0.0370)
Mother variables:
mother’s age when child was age 6	−0.0049		−0.0034
	(0.0057)		(0.0172)
mother’s age squared/100 (when child was 6)	−0.0024		−0.0316
	(0.0085)		(0.0263)
mother’s years of education completed	−0.0032	*	−0.0125	***
	(0.0013)		(0.0034)
mother is married	−0.0469	***	−0.1983	***
	(0.0090)		(0.0250)
mother is widow	−0.0030		−0.0124
	(0.0227)		(0.0617)
mother is divorced etc.	0.1489	***	0.4725	***
	(0.0140)		(0.0312)
Partner-of-mother variables:
partner’s years of education completed	−0.0014		−0.0062	+
	(0.0012)		(0.0032)
missing: partner’s years of education	−0.0623	*	−0.2072	***
	(0.0273)		(0.0638)
missing data on mother’s partner childhood experience of violence	0.0872	***	0.3179	***
	(0.0132)		(0.0297)
Household variables:
HH has migrated	0.0166		0.0575	*
	(0.0110)		(0.0265)
wealth quintile 2	0.0101		0.0285
	(0.0137)		(0.0331)
wealth quintile 3	0.0107		0.0300
	(0.0161)		(0.0398)
wealth quintile 4	−0.0035		−0.0243
	(0.0179)		(0.0459)
wealth quintile 5 (richest)	−0.0151		−0.0851
	(0.0202)		(0.0542)
Household composition§ variables:
mother has relatives in HH	−0.0372	*	−0.1291	***
	(0.0154)		(0.0389)
partner has relatives in HH	−0.0024		0.0006
	(0.0190)		(0.0499)
# children ages 0–5	0.0016		0.0032
	(0.0052)		(0.0124)
# girls ages 6–11	0.0098		0.0338	*
	(0.0064)		(0.1538)
# boys ages 6–11	0.0062		0.0202	*
	(0.0064)		(0.0154)
# girls ages 12–14	0.0035		0.0160
	(0.0087)		(0.0208)
# boys ages 12–14	0.0113		0.0427	*
	(0.0083)		(0.0203)
# girls ages 15–17	0.0132		0.0476	*
	(0.0099)		(0.0240)
# boys ages 15–17	0.0088		0.0317
	(0.0096)		(0.0229)
# women ages 18–64	−0.0115	+	−0.0409	*
	(0.0066)		(0.0184)
# men ages 18–64	0.0066		0.0227
	(0.0060)		(0.0153)
# women ages 65+	−0.0082		−0.0411
	(0.0154)		(0.0409)
# men ages 65+	−0.0227		−0.0854	+
	(0.0158)		(0.0446)
Geographic variables:
rural (vs. urban)	−0.0177		−0.0674	*
	(0.0127)		(0.0313)
Atlantic region	−0.0085		−0.0394
	(0.0126)		(0.0319)
Oriental region	0.0182		0.0669	+
	(0.0138)		(0.0346)
Pacific region	0.0159		0.0533
	(0.0139)		(0.0346)
Bogota region	0.0408	*	0.1373	**
	(0.0196)		(0.0490)
Territories region	−0.0730	***	−0.2654	***
	(0.0147)		(0.0398)
Municipality-level variables:
average wealth factor score	−0.0629	+	−0.1959	*
	(0.0355)		(0.0884)
average years of education, women 25–64	0.0073		0.0194
	(0.0103)		(0.0241)
average years of education, men 25–64	−0.0024		−0.0007
	(0.0091)		(0.0212)
child-woman ratio (0–4 / f 15–49)	0.0375		0.1588
	(0.0627)		(0.1522)
% of HHs female-headed	0.0032	***	0.0108	***
	(0.0010)		(0.0022)
% of population living abroad§§	-0.0029		-0.0083
	(0.0038)		(0.0087)
% of employed women in formal work	0.0008		0.0026
	(0.0009)		(0.0022)
% of employed men in formal work	0.0010		0.0031
	(0.0009)		(0.0023)
% HHs with access to piped water	0.0007	+	0.0027	**
	(0.0004)		(0.0010)
% HHs with access to sewer	-0.0003		-0.0010
	(0.0004)		(0.0009)
% HHs cooking with firewood etc.	-0.0005		-0.0016
	(0.0005)		(0.0013)
Constant	0.2759	*	-0.7672	*
	(0.1321)		(0.3742)
number of observations	21,827		21,827

Notes:

^†This is the first stage for the IV-regress model for the “in-school regression”. The first stage for the IV-Probit and IV Poisson and for other outcome variables is very similar.

^§§individuals abroad / individuals present in municipality

^***p ≤ 0.001,

^**p ≤ 0.01,

^*p ≤ 0.05,

⁺p<=0.1