Titlebook: Socioeconomic Effects of the National Flood Insurance Program; James P. Howard, II Book 2016 Springer International Publishing Switzerland

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Distributionally Weighted Analysis,erefore, one approach to distributional analysis in BCA is to alter who has standing. For instance, Chap.?7 presents a BCA of the National Flood Insurance Program (NFIP) where the only party with standing is the federal government. Other standing restrictions can be created for different analyses.

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Conclusions,he NSB of the NFIP are positive because of this interaction, but as the sensitivity analysis shows, the results remain positive even if one of these elements is removed from the economic model of the programs. However, this conclusion is predicated upon the initial analytical assumptions outlined in Sect.?1.3

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Introduction, through several reform cycles over more than four decades and has been changed or expanded each time. Whether or not this program has provided net benefits to the country or the government is not well understood. This analysis provides the first comprehensive benefit-cost analysis (BCA) at the NFIP

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Retrospective Analysis: Results,onduct the benefit-cost analysis (BCA) of the NFIP and Flood Mitigation Assistance (FMA) programs. This estimation will use the model developed in Chap.?3 with the data to find the net social benefits (NSB). The results are subject to sensitivity analysis and interpretation.

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Distributionally Weighted Analysis,ers that premise. Distributional analysis studies the ways in which distribution of funds affects different social classes based on economic or social status. With respect to BCA, distributional analysis can change the way standing is measured and reweight the effects for different social groups. Th

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Governmental Income Analysis,ernment of flood events. This was, per Chaps.?1 and?2, a key reason for creating the NFIP. This analysis will refer to the time period from 1996 through 2010, like the other retrospective analyses included in this evaluation.