000	00000nam##2200000za#4500
001	9.571567
003	CaOODSP
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007	cr |||||||||||
008	150406|2001||||xxc|||||o    f|0| 0 eng|d
022	|a1701-9397
040	|aCaOODSP|beng
043	|an-cn---
086	1 |aFB3-2/101-12E-PDF
110	2 |aBank of Canada.
245	10|aEvaluating linear and non-linear time-varying forecast-combination methods / |h[electronic resource]|cby Fuchun Li and Greg Tkacz.
260	|aOttawa - Ontario : |bBank of Canada |cJuly 2001.
300	|a24p.|breferences, tables
490	1 |aBank of Canada working paper|x1701-9397|v2001-12
500	|a"This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters. A Monte Carlo simulation study is performed to compare the performance of the different weighting schemes."--Abstract.
500	|aThe ISSN (1192-5434) for the print edition has been incorrectly copied in this electronic publication.
520	3 |aThis paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters. A Monte Carlo simulation study is performed to compare the performance of the different weighting schemes.--Abstract
546	|aRésumé en français.
590	|a11-19-Supp|b2011-09-23
690	07|aEconomic forecasting|2gcpds
690	07|aEconomic analysis|2gcpds
720	1 |aTkacz, Greg
720	1 |aLi, Fuchun
776	0#|tEvaluating linear and non-linear time-varying forecast-combination methods / |w(CaOODSP)9.615728
830	#0|aWorking paper (Bank of Canada)|x1701-9397|v2001-12|w(CaOODSP)9.504604
856	40|ahttp://publications.gc.ca|qPDF|s111 KB|uhttps://publications.gc.ca/collections/Collection/FB3-2-101-12E.pdf|y2001-12