Gender/Health

How Son Preference Affects Child Health, Household Expenditure, and Food Security:Causal Evidence from Rural Bangladesh

Sex rario and birth rate around the world




Malnutrition is a severe problem in the developing world that is yet to be solved. We analyze the impact of son preferences on individual and household-level nutritional outcomes. First, we show how the presence of a second-born female in the family affects the health and nutritional outcomes of first-born children. Using nationally representative data from rural Bangladesh and utilizing the randomness of the second child's gender, we observe that if the second-born is a female in a family, then the first-born's health measures significantly change. If there is a second-born female in a family, there is a significant reduction in the per capita nutrient intake. This reduction significantly affects the anthropometric measurement of the first-born child, leading to a reduction in BMI-for-age. Results indicate that families tend to give less emphasis on nutritional attributes when there is a female child, which affects the other children in the family as well.

Using two-period panel data on the same households and employing a difference-in-difference-in-difference (ddd) regression framework, we show that removed financial constraints through Feed the Future programs do not encourage families with second-born female children to diversify food consumption. We conclude that being a daughter, especially in lower birth order, is still distress in developing countries because neither they attract parental attention nor their food consumption and other expenditures are appropriately fulfilled.


Data Used: Bangladesh Integrated Household Survey (BIHS)- 2011/12 and 2018/19

Method Used: Randomness of gender of second child, difference-in-difference, difference-in-difference-in-difference

Literature: Health Economics, Economics of Gender, Nutrition

Presented: Cologne, Essen, Bologona, Hannover

Tags: son preference, gender discrimination, malnutrition, severe stunting, food security, z-scores



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