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Titlebook: Economic Consequence Analysis of Disasters; The E-CAT Software T Adam Rose,Fynnwin Prager,Eric Warren Book 2017 The Editor(s) (if applicabl

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發(fā)表于 2025-3-21 19:41:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Economic Consequence Analysis of Disasters
副標(biāo)題The E-CAT Software T
編輯Adam Rose,Fynnwin Prager,Eric Warren
視頻videohttp://file.papertrans.cn/302/301513/301513.mp4
概述Provides comprehensive assessment of economic consequences of disasters.Studies measurement of resilience and behavioral responses to disasters.Contains computable general equilibrium analysis of dire
叢書(shū)名稱Integrated Disaster Risk Management
圖書(shū)封面Titlebook: Economic Consequence Analysis of Disasters; The E-CAT Software T Adam Rose,Fynnwin Prager,Eric Warren Book 2017 The Editor(s) (if applicabl
描述This study develops a methodology for rapidly obtaining approximate estimates of the economic consequences from numerous natural, man-made and technological threats. This software tool is intended for use by various decision makers and analysts to obtain estimates rapidly. It is programmed in Excel and Visual Basic for Applications (VBA) to facilitate its use. This tool is called E-CAT (Economic Consequence Analysis Tool) and accounts for the cumulative direct and indirect impacts (including resilience and behavioral factors that significantly affect base estimates) on the U.S. economy. E-CAT is intended to be a major step toward advancing the current state of economic consequence analysis (ECA) and also contributing to and developing interest in further research into complex but rapid turnaround approaches..The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyon
出版日期Book 2017
關(guān)鍵詞Economics of natural disasters; Business interruption; Economic resilience; Behavioral response; Economi
版次1
doihttps://doi.org/10.1007/978-981-10-2567-9
isbn_softcover978-981-10-9653-2
isbn_ebook978-981-10-2567-9Series ISSN 2509-7091 Series E-ISSN 2509-7105
issn_series 2509-7091
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 20:29:10 | 只看該作者
2509-7091 mation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyon978-981-10-9653-2978-981-10-2567-9Series ISSN 2509-7091 Series E-ISSN 2509-7105
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發(fā)表于 2025-3-22 02:12:22 | 只看該作者
Deep Circumflex Iliac Artery Perforator Flapness . uncertainty) or incomplete knowledge (. uncertainty) about underlying phenomena. . uncertainty may be reduced to . uncertainty with more information, whereas . uncertainty is not reducible. These consequence distributions, presented within a user-friendly and readily deployable tool, may be v
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Introduction,ding terrorism events, natural disasters, and technological accidents. Consistency is important to be able to compare the many threats for the purpose of allocating resources among them to reduce overall risk as efficiently as possible. To date, research on the economic consequences of disasters is
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Threat Scenarios and Direct Impacts,narios and direct economic impacts for two example threats: earthquakes and human pandemic. Each section consists of a summary description of the scenario, conversion of concepts to drivers that can be used in our CGE model, and the filling in of both qualitative and quantitative entries in the Enum
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User Interface Variables,utput and employment results serve as the set of independent variables against which the independent variables are regressed. We refer to the independent variables as User Interface Variables. The resulting regression coefficients for each User Interface Variable in the reduced-form model are plugge
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發(fā)表于 2025-3-23 06:28:01 | 只看該作者
Estimation of the Reduced Form Coefficients for the E-CAT User Interface,the following steps: a random sampling procedure, a CGE simulation with an automatic looping function, and an econometric analysis including both ordinary least squares estimation (OLS) and quantile regression. The key purpose is to establish the linkages between the threat characteristics identifie
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