Solving and Estimating Indeterminate DSGE Models /

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new fundamentals....

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur: Farmer, Roger
Awduron Eraill: Khramov, Vadim
Fformat: Cylchgrawn
Iaith:English
Cyhoeddwyd: Washington, D.C. : International Monetary Fund, 2013.
Cyfres:IMF Working Papers; Working Paper ; No. 2013/200
Pynciau:
WP
Mynediad Ar-lein:Full text available on IMF
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100 1 |a Farmer, Roger. 
245 1 0 |a Solving and Estimating Indeterminate DSGE Models /  |c Roger Farmer, Vadim Khramov. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2013. 
300 |a 1 online resource (30 pages) 
490 1 |a IMF Working Papers 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new fundamentals. This redefinition allows us to treat indeterminate models as determinate and to apply standard solution algorithms. We provide a selection method, based on Bayesian model comparison, to decide which errors to pick as fundamental and we present simulation results to show how our procedure works in practice. 
538 |a Mode of access: Internet 
650 7 |a WP  |2 imf 
700 1 |a Khramov, Vadim. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2013/200 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2013/200/001.2013.issue-200-en.xml  |z IMF e-Library