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This Government Contract opportunity from Department Of Transportation was posted on June 11, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Economic Modeling and Forecasting

Closed
Federal

Contract Overview

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The contract engages a small business to develop and apply sophisticated economic models aimed at estimating the impact of the FIFA World Cup 2026 on U.S. tourism. The analysis will focus on key economic indicators including GDP, employment, and tax revenue, as well as effects on specific sectors. The approach incorporates input-output modeling and scenario analysis to provide detailed forecasts. Issued by the Department of Commerce and executed under the Department of Transportation, this subcontract is categorized under NAICS code 541620 and is designated as a Total Small Business Set-Aside in compliance with FAR 19.5. The work is to be performed in Washington, with proposals due shortly after the contract posting date in mid-June 2026. This initiative supports informed decision-making on the economic implications of hosting a major international sporting event.

General Info

Small business develops economic models estimating FIFA World Cup 2026 impact on U.S. tourism.

Agency

Department Of Transportation → Department Of Commerce Sspo

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

Washington, DC, USA

Set-Aside

SBA

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Transportation → Department Of Commerce Sspo
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Transportation → Department Of Commerce Sspo
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and apply economic models to estimate the impact of the FIFA World Cup 2026 on U.S. tourism, including GDP, employment, tax revenue, and sector-specific effects using input-output modeling and scenario analysis.