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035 a| (OCoLC)1594963932;

043 a| n-us---;

049 a| ERE#;

074 a| 1005-D (online);

086 0 a| Y 10.11:2022-07;

100 1 a| Demirel, U. Devrim,e| author.=| ^A1435803;

245 10 a| Quantifying the uncertainty of long-term economic projections /c| U. Devrim Demirel, James Otterson.;

264 1 a| Washington, D.C. :b| Congressional Budget Office,c| 2022.;

300 a| 1 online resource (22 pages) :b| illustrations (chiefly color).;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| Working paper ;v| 2022-07;

500 a| "April 2022.";

500 a| This is a publication issued by the United States federal government or produced with federal funds.;

500 a| In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).;

504 a| Includes bibliographical references (pages 20-22).;

588 a| Description based on online resource; title from PDF cover (Archive-It, viewed June 11, 2026).;

650 0 a| Economic forecastingz| United Statesx| Mathematical models.=| ^A72639;

650 0 a| Uncertaintyx| Mathematical models.=| ^A119664;

650 0 a| Multivariate analysis.=| ^A9849;

700 1 a| Otterson, James,e| author.?| UNAUTHORIZED;

710 1 a| United States.b| Congressional Budget Office,e| issuing body.=| ^A5918;

830 0 a| Working paper series (United States. Congressional Budget Office) ;v| 2022-07.=| ^A1016301;

856 4 z| Address at time of PURL creationu| https://wayback.archive-it.org/org-593/20260216103407/https://www.cbo.gov/system/files/2022-04/57711-Uncertainty.pdf;

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Quantifying the uncertainty of long-term economic projections / U. Devrim Demirel, James Otterson.

Author/creator	Demirel, U. Devrim author.
Other author	Otterson, James, author.
Other author	United States. Congressional Budget Office, issuing body.
Format	Electronic
Publication	Washington, D.C. : Congressional Budget Office, 2022.
Description	1 online resource (22 pages) : illustrations (chiefly color).
Supplemental Content	Address at time of PURL creation
Supplemental Content	https://purl.fdlp.gov/GPO/gpo257105
Subjects	Economic forecasting--United States. --Mathematical models. Uncertainty--Mathematical models. Multivariate analysis.

Series	Working paper ; 2022-07 Working paper series (United States. Congressional Budget Office) ; 2022-07. ^A1016301
General note	"April 2022."
General note	This is a publication issued by the United States federal government or produced with federal funds.
General note	In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
Bibliography note	Includes bibliographical references (pages 20-22).
Source of description	Description based on online resource; title from PDF cover (Archive-It, viewed June 11, 2026).
GPO item number	1005-D (online)
Govt. docs number	Y 10.11:2022-07

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Online Content Address at time of PURL creation https://purl.fdlp.gov/GPO/gpo257105	✔ Available

Quantifying the uncertainty of long-term economic projections / U. Devrim Demirel, James Otterson.

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