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    Impacts of flooding on the rice production of Bangladesh: a panel data study
    (Colorado State University. Libraries, 2019) Hassan, S. M. Kamrul, author; Kling, Robert, advisor; Zahran, Sammy, committee member; Bayhem, Jude, committee member
    This paper attempts to measure the impact of flooding on rice production in Bangladesh by using two versions of econometric model, namely a total production model and a yield model. The production model uses tons of production as the dependent variable while the yield model uses the log of yield which has been defined as tons per acre. The findings from the production model suggest the vulnerability of the boro variety of rice, as it appears to have meaningful coefficients with flood damage indicator variables. The spatial dimensions of vulnerability become apparent as some districts appear to have more damaging impacts on several varieties of rice even while the national level estimates do not reveal the fact. But with both negative and positive flooding effects, the overall trend of rice production signifies the resilience and development achieved in this sector. The yield model uses similar variables to the production model, but normalizes them and drops some control due to the presence of multicollinearity. But while this second model has theoretically appealing attributes, the findings are not meaningful or significant as only one of the concerned variables gives the expected effects signs. This puts a caution in the transformation of the variables used in panel data regression.