Table 4. Effect of floods on serum ferritin and serum retinol: OLS estimates.
| Dependent variable | ||||
|---|---|---|---|---|
| Ferritin (μg/dL) | Retinol (μg/dL) | |||
| (1) | (2) | (3) | (4) | |
| Floodt−1 | -0.544 | -2.209*** | ||
| (2.934) | (0.383) | |||
| Floodt−2 | -0.735 | -3.208*** | ||
| (4.283) | (0.543) | |||
| Province fixed effects | Yes | Yes | Yes | Yes |
| Ethnicity fixed effects | Yes | Yes | Yes | Yes |
| Observations | 979 | 979 | 979 | 979 |
| R2 | 0.097 | 0.097 | 0.099 | 0.099 |
| Adjusted R2 | 0.054 | 0.054 | 0.057 | 0.058 |
| Residual std. error | 577.950 | 577.951 | 240.588 | 240.581 |
| F statistic | 2.271*** | 2.270*** | 2.386*** | 2.388*** |
Notes: In regressions 1 and 2, the dependent variable is level of serum ferritin in μg/dL, whereas in regressions 3 and 4, it is serum retinol in μg/dL. These regressions control for woman’s age, literacy, and current pregnancy status; household location type (urban vs. rural), wealth index, dependency ratio, ethnolinguistic affiliation; and age, sex, literacy, and marital status of household head, while also including provincial dummies and provincial aid. Only for regressions 1 and 2 is inflammation status (CRP > 1 mg/dL) used as a regressor. All models are estimated using sampling survey weights, and the flood variable in all specifications is adjusted for district population density. Robust standard errors (in parenthesis) are clustered at the district level.
* p < 0.1,
** p < 0.05,
*** p < 0.01.