Publications

This paper outlines how climate change can create specific gendered risks based on age and stage of the life course.

Critical gendered risks for women that increase their vulnerability to climate shocks include: discriminatory social and gender norms; inadequate access to and control of assets and crucial resources; concentration in low-wage casual employment; limited representation in policy discussions and key decision-making processes.

Gender-responsive and age-sensitive social protection – an important instrument in a suite of tools in the broader response to the climate crisis – can play a crucial role in addressing or minimizing negative climate impacts, including those that affect girls, boys and women.

This paper provides a framework for analyzing constraints that apply specifically to women, which theory suggests may have negative impacts on child outcomes (as well as on women). We classify women’s constraints into four dimensions: (i) low influence on household decisions, (ii) restrictions on mobility, (iii) domestic physical and psychological abuse, and (iv) limited information access. Each of these constraints are in principle determined within households. We test the impact of women’s constraints on child outcomes using nationally representative household Demographic and Health Survey data from India, including 53,030 mothers and 113,708 children, collected in 2015-16. We examine outcomes including nutrition, health, education, water quality, and sanitation. In our primary specification, outcomes are measured as multidimensional deprivations incorporating indicators for each of these deficiencies, utilizing a version of UNICEF’s Multidimensional Overlapping Deprivation Analysis index. We identify causal impacts using a Lewbel specification and present an array of additional econometric strategies and robustness checks. We find that children of women who are subjected to domestic abuse, have low influence in decision making, and limited freedom of mobility are consistently more likely to be deprived, measured both multidimensionally and with separate indicators.