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.0211

.0221

(.009)

(.009)

.0024

.0025

(.001)

(.001)

.0179

.0181

(.008)

(.008)

.0017

.0018

(.001)

(.001)

• #

Camps

• #

Camps Sq.

Girl × # Camps Sq.

Table 5. Vaccination Camps and Gender Imbalance in Binary Vaccination Dependent Variable: Child has Any Vaccinations (0/1)

Explanatory Variables: Girl × # Camps

(3)

(1)

(2)

Girl

× Camps=1

Girl

× Camps=2

Girl

× Camps=3

Girl

× Camps=4

Girl

× Camps=5

Girl

× Camps=6+

.0134 (.033) .0682 (.026) .0338 (.03) .0233 (.034) .0394 (.045) .0034 (.038)

# Child Age

Child Age Sq.

• #

Older brothers

• #

Older Sisters

Dummies for # Camps State Fixed Effects State-Gender Inter. Village Pop-Gender Inter. Village Area-Gender Inter. Distance-Gender Inter. Gender-Control Inter. Number of Observations R

.1114 (.053) .0328 (.021) .0135 (.01) .0002 (.009) NO YES YES YES YES YES NO 8495 .15

.1069 (.053) .0312 (.021) .0148 (.01) .0018 (.009) NO YES YES YES YES YES YES 8495 .15

.1092 (.053) .032 (.021) .0137 (.01) .0001 (.009) YES YES YES YES YES YES NO 8495 .15

Notes: This table estimates the effect of vaccination camps on the gender imbalance in vaccination. An observation is a child aged six months to two years and the dependent variable is whether the child has any vaccinations. # Camps is the number of Family Health and Welfare Camps reported in the village in the previous year – 0, 1, 2, 3, 4, 5 or 6 or more. All interactions between gender and controls include interactions between gender and the control linear and squared. The main effect of girl is subsumed in the state-gender interactions. Other controls: maternal age, maternal education, family durable ownership, a dummy for being Hindu, birth order and village size. Full regressions with all controls reported are in Appendix Table W.1.2 (on author’s website).

standard errors in parentheses, clustered at the village level.

significant at 10%;

significant at

5%;

significant at 1%

33

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