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008230111t20222022oncd    ob   f|0| 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aFB3-5/2022-51E-PDF
1001 |aHommes, Carsien Harm, |eauthor.
24510|aCANVAS : |ba Canadian behavioral agent-based model / |cby Cars Hommes, Mario He, Sebastian Poledna, Melissa Siqueira and Yang Zhang.
264 1|a[Ottawa] : |bBank of Canada = Banque du Canada, |c2022.
264 4|c©2022
300 |a1 online resource (50 pages) : |bcharts.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aStaff working paper = Document de travail du personnel, |x1701-9397 ; |v2022-51
500 |a"Last updated: December 19, 2022."
504 |aIncludes bibliographical references (pages 47-50).
520 |a"We develop a Canadian behavioral agent-based model (CANVAS) that utilizes Canadian micro and macroeconomic data for forecasting and policy analysis. CANVAS represents a nextgeneration modelling effort, as it improves upon the previous generation of models in three dimensions: introducing household and firm heterogeneity, departing from rational expectations, and explicitly modelling the Canadian production network"--Abstract.
650 0|aEconomic forecasting|zCanada.
650 0|aMonetary policy|zCanada.
650 6|aPrévision économique|zCanada.
650 6|aPolitique monétaire|zCanada.
7102 |aBank of Canada, |eissuing body.
830#0|aStaff working paper (Bank of Canada)|v2022-51.|w(CaOODSP)9.806221
85640|qPDF|s1.24 MB|uhttps://publications.gc.ca/collections/collection_2023/banque-bank-canada/FB3-5-2022-51-eng.pdf