The literature concerning how preferences are affected by extreme events is char-acterized by mixed findings. To bridge this gap, we investigate the impacts of twodisasters triggered by different natural hazards on present bias, exponential time dis-counting, and curvature parameters of a utility function. These are elicited in anintegrated manner by the convex time budget (CTB) experiments as well as the multi-ple price list (MPL) experiments. Based on these approaches, we employ sui generisexperimental data and accurate disaster damage information from the official metricalsurveys in Iwanuma city of Japan and from satellite images of the East Laguna Villageof the Philippines, which were hit, respectively, by a strong earthquake and tsunami in2011 and serious floods in 2012. First, we find that disaster exposure makes individ-uals more present-biased and less risk-averse regardless of distinctive differences insocio-economic conditions and disaster types. Second, the impact lasted for 6 yearsin both areas, suggesting persistency of the effect. Third, our results are consistentwith emotional channels but not necessarily with a potential market friction in theform of binding liquidity constraints. Our findings suggest that the existing mixedempirical evidence can be attributed to the lack of an integrated and consistent frame-work as well as accurate data on disaster damages, rather than variations in literacyor education levels of experimental subjects.