Showing 1 - 10 of 399
Persistent link: https://www.econbiz.de/10011684341
This paper introduces a theoretical model that allows the estimation of a household’s valuation of health risks from major storms. An endogenous risk framework is developed in which the household can employ ex-ante self-protection and ex-post mitigating activities and treatments strategies to...
Persistent link: https://www.econbiz.de/10011108062
This paper introduces a household model of private investment in storm protection under an endogenous risk framework to determine how ex-ante self-protection and ex-post self-insurance spending by coastal households to mitigate storm-inflicted damages are affected by the availability of public...
Persistent link: https://www.econbiz.de/10011110755
Persistent link: https://www.econbiz.de/10010244540
We model household responses to storm protection actions in an endogenous risk framework and then test the predictions based on a recently concluded survey from southern Bangladesh hit by the category-5 Cyclone-Sidr in 2007. Households decide on the margin how to finance private adaptive...
Persistent link: https://www.econbiz.de/10012906972
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This study aims to find out the Economic condition of the vulnerable population of Bangladesh in the COVID-19 situation. This study uses the primary data of 203 respondents who were collected from all around Bangladesh using convenience and purposive sampling. In this study, a comparison of...
Persistent link: https://www.econbiz.de/10013220756
Remittances’ effect on a household’s health outcome (e.g. Infant mortality) is ambiguous, but the impact on health expenditure is positive and less equivocal in literature. This paper puts the relationship between health expenditure and remittances into a stress test to see whether it...
Persistent link: https://www.econbiz.de/10013224629
The study aims to predict & analyze the daily cases data of Bangladesh. In the analysis, secondary data was collected & the RStudio version, 1.3.959 was used. The prediction of daily cases was found from 22nd July to 19th September using the Facebook Prophet Model. Though the plot of the daily...
Persistent link: https://www.econbiz.de/10012827307