Economic Analysis for DHS: Microeconomic/Macroeconomic Modeling, Simulation, and Analysis Briefing to The White House Washington, D.C. May 10, 2006 Mark A. Ehlen, Ph.D. Computational Economics Group National Systems Modeling & Analysis Sandia National Laboratories Albuquerque, NM [email protected]
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Economic Analysis for DHS:Microeconomic/Macroeconomic Modeling, Simulation, and Analysis
Briefing to The White HouseWashington, D.C.May 10, 2006
Mark A. Ehlen, Ph.D.Computational Economics GroupNational Systems Modeling & AnalysisSandia National LaboratoriesAlbuquerque, [email protected]
DHS applications:Hurricane Katrina, Rita, MANPAD, pandemic influenza,state grants process
World Economy ModelREMI, G-Cubed, GEM, or Yale MCU econometricmodel.
~80% of world GNP, 10-industryDHS applications:
Pandemic influenza
Problem-driven tool development: REAcct
PurposeTo automate the process of (1) identifying economic firmsdirectly impacted by disruptions, (2) estimating direct andindirect impacts, and (3) conducting sensitivity analysis of theseestimates to changes in disruption assumptions.
Data sourcesCounty Business Patterns, GDP-by-Industry Data, NationalIncome and Product Accounts, RIMS II multipliers, research.
MethodologyA combination of input-output and supply chain effects models;future extensions will include techniques that capture on-siteand in-transit inventory effects, regional purchase coefficients,and infrastructure disruption effects captured by other NISACinfrastructure and economic models.
ApplicationsNISAC FAIT tool - programmatically applying REAcct to thenetwork analysis of infrastructure disruption cascades, so as torank-order critical assets.
NISAC MAP tool - as part of asset prioritization for DHS, MAPteam is considering REAcct for rapid, first-order estimates ofasset economic value.
Large-scale, enterprise-firm modeling of supplychains, regional economies, entire nation.Enterprise-level connections to criticalinfrastructures.
Identifies sectors, classes of firms(small/medium/large), regions of the country mostvulnerable to infrastructure disruptions.
Overall model is designed for simulations running106 firms on Thunderbird, Sandia’s parallelcomputing cluster (currently 5th fastest in theworld).
Benefit-cost analysisModels investment decision process ofgovernment authorities.
Compares cost effectiveness of newtechnologies/strategies against “do-nothing”(baseline) strategy.
N-ABLE enterprise model
An N-ABLE value chain
Problem-driven tool development: N-ABLE™
PurposeTo analyze the impacts of disruptions on regional value chains, specifically: (1) identify the networks offirms impacted directly and indirectly, (2) estimate the intra-firm impacts (e.g., production, inventories)and inter-firm impacts (e.g., sales and shipment levels), and (3) estimate how the collective network canadapt to a disruption and any related policy instruments.
Data sourcesE.g., County Business Patterns, GDP-by-Industry Data, National Income and Product Accounts, privatedate sources (e.g., Chlorine Institute, Goodyear Tire & Rubber Company, Probe Economics).
Methodology(1) Use data-driven, agent-basedenterprise model to create synthetic firmsthat resemble operational and marketcharacteristics of actual firms;(2) model value chains as market-basedand non-market-based (e.g., socialinteractions) networks;(3) analyze networks using network theorymetrics (connectedness, betweenness) toestimate brittleness/robustness of valuechain;(4) estimate impacts to GDP, employment,income, inventories, shipments, production,over days to months.
Network representation of chlorine supply chain (5000 firms)
NISAC is collaborating with Goodyear Tire & Rubber Company toadvance its economic analysis capabilities
PurposeAnalyze the economic impacts of
infrastructure disruptions on privatecompanies:
1. create an agent-based economic networkrepresentation of firms’ purchasing,shipping, production, distribution, and end-use sale;
2. perform validation of model againstexisting GY distribution optimizationtechniques;
3. model impacts of various infrastructuredisruptions (electric power, transportation)on production, shipping, inventories, costs;
4. assist in new GY disaster planning groupformed to mitigate losses due toinfrastructure-based supply chaindisruptions.
Network representation of Goodyear supply chain
Validating analysis of distribution centers
An example of how economic analysis fits in NISAC: Katrina
Storm data, infrastructure data, economic data
Electricpower
Telecomm-unications
Transportation/commodities
Petroleum/natural gas
Chemical/HAZMAT
Physicaldamage
Economic disruptionis superset of all population,
physical damage, andinfrastructure disruptions
Local direct andindirect impacts
(REAcct)
Regional andnational macroimpacts (REMI)
Financialmarketsanalysis
Regional and nationalvalue chain analysis
(N-ABLE - experimental)
Smallbusinessanalysis
Collectedand rationalizedeconomic results
2 pre-reports,10 post-reports,1 post-post report
Populationeffects
Relocationimpact
analysis
Current path: strengthening our capabilities
“Since Hurricane Katrina, NISAC hassignificantly improved their capabilityto provide reports detailing thecascading impact of major disasterson the Nation’s infrastructure but itdoes not include a robustassessment of the economicimpacts.”
Advancing tools to meet DHS needNeed to tune existing models (e.g., REAcct) to moreclasses of disruptions
Need to productionize microeconomic simulation,analysis, and reporting tasks
Need more tools that can estimate impacts of short-term(days to weeks to months) disruptions
Accessing critical dataNeed access to more restricted-use infrastructure,commodity flow, and economic data
Increasing strategic collaborationsPublic: DOT, BEA, BLS, Treasury, FAA, DOS, USDAPrivate: Firms and associations across industriesAcademic: have worked with MIT, Cornell, WSU