A small quarterly projection model of the US economy /

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Bibliographic Details
Imprint:Washington, D.C. : International Monetary Fund, ©2008.
Description:1 online resource (54 pages) : illustrations (some color)
Language:English
Series:IMF working paper ; WP/08/278
IMF working paper ; WP/08/278.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/14153183
Hidden Bibliographic Details
Other authors / contributors:Carabenciov, Ioan, author.
International Monetary Fund. Research Department.
ISBN:9781451987249
1451987242
1462363857
9781462363858
1452739994
9781452739991
1282558129
9781282558120
9786613822277
6613822272
Notes:At head of title: Research Department.
"December 2008."
Includes bibliographical references (pages 28-29).
English.
Print version record.
Summary:This is the first of a series of papers that are being written as part of a project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the U.S. economy. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties. After developing a benchmark model without financial-real linkages, we introduce such linkages into the model and compare the results with and without linkages.
Other form:Print version: Small quarterly projection model of the US economy. Washington, D.C. : International Monetary Fund, ©2008

MARC

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245 0 2 |a A small quarterly projection model of the US economy /  |c prepared by Ioan Carabenciov [and others]. 
260 |a Washington, D.C. :  |b International Monetary Fund,  |c ©2008. 
300 |a 1 online resource (54 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IMF working paper ;  |v WP/08/278 
588 0 |a Print version record. 
500 |a At head of title: Research Department. 
500 |a "December 2008." 
504 |a Includes bibliographical references (pages 28-29). 
520 |a This is the first of a series of papers that are being written as part of a project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the U.S. economy. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties. After developing a benchmark model without financial-real linkages, we introduce such linkages into the model and compare the results with and without linkages. 
505 0 |a I. Introduction; A. Objectives; B. The US Economy Over the Sample Period; II. Benchmark Model Without Financial-Real Linkages; A. Background; B. The Specification of The Model; B1. Observable variables and data definitiions; B2. Stochastic processs and model definitions; B3. Behavioral equations; C. Bayesian Estimation; D. Confronting the Balanced Model with The Data; III. Extended Model with Financial-Real Linkages; A. Background; B. Model Specifications; B1. Financial- real linkages; B2. Cross correlations of disturbances; C. Results; D. Some Extensions. 
505 8 |a D1. Comparison of results from long sample and short sample for Model with financial variableD2. Core CPI; IV. Concluding Remarks; References; Appendix; Data Definitions; Figures; 1. US Historical Data; Tables; 1. Results from Posterior Maximization (parameters) Base Code Model; 2. Results from Posterior Maximization (standard deviation of structural Shocks) Base Case Model; 2. Unemployment and Model-Consistent NAIRU; 3. GDP and Model-Consistent Potential GDP; 3. Base Case Root Mean Squared Errors; 4.; 4. Results from Posterior Maximization (parameters) BLT Model. 
505 8 |a 5. Results from Posterior Maximization (standard deviation of structural Shocks) BLT Model6. Results from posterior parameters (correlation of structural shocks) BLT Model; 5. IRF Supply Shock; 6. IRF Demand Shock; 7. IRF Policy Rate Shock; 8. IRF BLT Shock; 9. IRF Equilibrium GDP Growth Shock; 10. IRF Equilibrium GDP Level Shock; 7. BLT Root Mean Squared Errors; 8. Variance Decompositions; 11. Y-O-Y GDP Growth Rate Dynamic Forecast (Base Case Model); 12. Y-O-Y GDP Growth Rate Dynamic Forecast (BLT Model); 13. Q-O-Q GDP Growth Rate Dynamic Forecast (Base Case Model). 
505 8 |a 14. Q_O_Q GDP Growth Rate Dynamic Forecast (BLT Model)15. Inflation Dynamic Forecast (Base Case Model); 16. Inflation Dynamic Forecast (BLT Model); 17. Interest Rate Dynamic Forecast (Base Case Model); 18. Interest Rate Dynamic Forecast (BLT Model); 19. Unemployment Rate Dynamic Forecast (Base Case Model); 20. Unemployment Rate Dynamic Forecast (BLT Model); 21. Output GAP Dynamic Forecast (Base Case Model); 22. Output GAP Dynamic Forecast (BLT Model). 
546 |a English. 
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651 0 |a United States  |x Economic conditions  |y 2001-2009  |x Econometric models. 
650 0 |a Bank assets  |z United States  |x Econometric models. 
650 0 |a Inflation (Finance)  |z United States  |x Econometric models. 
650 0 |a Monetary policy  |z United States  |x Econometric models. 
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710 2 |a International Monetary Fund.  |b Research Department.  |0 http://id.loc.gov/authorities/names/n77001219 
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776 0 8 |i Print version:  |t Small quarterly projection model of the US economy.  |d Washington, D.C. : International Monetary Fund, ©2008  |w (OCoLC)317414655 
830 0 |a IMF working paper ;  |v WP/08/278.  |0 http://id.loc.gov/authorities/names/no89010263 
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