We investigate the effect of women's political representation in the state legislative assembly and public administration on natural disaster mortality in 20 Indian states from 1981 to 2019. The paper combines two critical dimensions: political and administrative representation of women and disaster risk reduction. Results suggest that women's political representation reduces total disaster mortality after controlling socioeconomic and political covariates; however, the effects are statistically insignificant for the current and lag periods. We find that a one standard deviation increase in women's representation in public administration lowers total disaster mortality by 20.6 percentage points, which is 9.8 per cent of the sample mean. We observe the impacts of female administrative representation on gender-specific human development outcomes through reduced male and female disaster mortality, and we explain some mechanisms. Thus, women's political and administrative representation is crucial for addressing disaster mortality as it has major public health consequences.

Crop insurance has been linked to changes in farm production decisions. In this study, we examine the effects of crop insurance participation and coverage on farm input use. Using a 1993–2016 panel of Kansas farms, evidence exists that insured farms apply more farm chemicals and seed per acre than uninsured farms. We use a fixed effects instrumental variable estimator to obtain the effects of change in crop insurance coverage on farm input use accounting farm-level heterogeneity. Empirical evidence suggests that changes in the levels of crop insurance coverage do not significantly affect farm chemical use. Thus, moral hazard effects from purchasing crop insurance are not large on a per acre basis but can lead to expenditures of $6,100 per farm.

Prior tests of Hicks’ Induced Innovation Hypothesis (IIH) have been greatly hampered because the lack of supply-side data implicitly requires the untenable assumption that the marginal research cost is the same for different inputs. We document that, with appropriate model specification and panel data, a two-way fixed-effects estimator can account for much of the non-neutrality of the innovation function. Using a test procedure that is robust to a time-variant and non-neutral innovation function, we test the IIH in U.S. agriculture for the period 1960–2004. We use only readily available data for innovation demand and total public research expenditures.