2019
DOI: 10.1016/j.ijdrr.2019.101275
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Household-level effects of providing forecast-based cash in anticipation of extreme weather events: Quasi-experimental evidence from humanitarian interventions in the 2017 floods in Bangladesh

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Cited by 48 publications
(64 citation statements)
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“…Our results are at some point similar to the most recent published study by Gros et al (2019) in terms of a positive 5 A balance check using the kernel density of the propensity scores was also made for these specifications, resulting in graphics similar to Fig. 7.…”
Section: Resultssupporting
confidence: 85%
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“…Our results are at some point similar to the most recent published study by Gros et al (2019) in terms of a positive 5 A balance check using the kernel density of the propensity scores was also made for these specifications, resulting in graphics similar to Fig. 7.…”
Section: Resultssupporting
confidence: 85%
“…The former examines the costs and benefits of applying typhoon resilient housing measures in Da Nang (Vietnam), and the latter applies probabilistic cost-benefit analysis to evaluate selected disaster risk reduction measures that reduce losses to structures in hazard-prone areas in low-and middle-income developing countries. On the other hand, Gros et al (2019) implemented a quasi-experiment to measure the impact of a forecast-based provision of cash on households in Bangladesh to reduce the flood impact (rent a truck to move their animals temporarily to higher ground), finding positive effects.…”
Section: Introductionmentioning
confidence: 99%
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“…A number of humanitarian organizations are using forecast-based financing to reduce the impact of disasters on vulnerable households. One study examined the impact of a forecast-based cash transfer made to vulnerable households in Bangladesh in advance of 2017 flooding and found that those that received the cash transfer had improved access to food, accumulated less (high-interest) debt, and suffered from lower levels of stress during and after the flood period than those that did not receive the advance funding (Gros et al 2019).…”
Section: Managing Public Finance Response To Disaster Risksmentioning
confidence: 99%