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040 |aCaOODSP|beng|erda|cCaOODSP
0410 |aeng|beng|bfre
0861 |aFB3-5/2024-30E-PDF
1001 |aChernis, Tony, |eauthor.
24510|aDecision synthesis in monetary policy / |cby Tony Chernis, Gary Koop, Emily Tallman and Mike West.
264 1|a[Ottawa] : |bBank of Canada = Banque du Canada, |c2024.
264 4|c©2024
300 |a1 online resource (ii, 34 pages) : |bcolour illustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aStaff working paper = Document de travail du personnel, |y1701-9397 ; |v2024-30
500 |aISSN assigned to different series.
500 |a"Last updated: August 16, 2024."
504 |aIncludes bibliographical references (pages 33-34).
5203 |a"The macroeconomy is a complicated dynamic system with significant uncertainties that make modelling difficult. Consequently, decision-makers consider multiple models that provide different predictions and policy recommendations and then synthesize that information into a policy decision. We use Bayesian predictive decision synthesis (BPDS) as a way formalize this monetary policy decision-making process. BPDS draws on recent developments in model combination and statistical decision theory that make it possible to combine models in a manner that incorporates decision goals, expectations and outcomes. We develop a BPDS procedure for a case study of monetary policy decision-making with an inflation-targeting central bank and compare the results against standard model-combination approaches"--Abstract, page ii.
546 |aIncludes abstracts in English and French.
650 0|aMonetary policy|xDecision making|xEconometric models.
650 6|aPolitique monétaire|xPrise de décision|xModèles économétriques.
7102 |aBank of Canada, |eissuing body.
830#0|aStaff working paper (Bank of Canada)|v2024-30.|w(CaOODSP)9.806221
85640|qPDF|s1.75 MB|uhttps://publications.gc.ca/collections/collection_2024/banque-bank-canada/FB3-5-2024-30-eng.pdf