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0019.571567
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008150406|2001||||xxc|||||o    f|0| 0 eng|d
022 |a1701-9397
040 |aCaOODSP|beng
043 |an-cn---
0861 |aFB3-2/101-12E-PDF
1102 |aBank of Canada.
24510|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
4901 |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.
5203 |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
69007|aEconomic forecasting|2gcpds
69007|aEconomic analysis|2gcpds
7201 |aTkacz, Greg
7201 |aLi, Fuchun
7760#|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
85640|ahttp://publications.gc.ca|qPDF|s111 KB|uhttps://publications.gc.ca/collections/Collection/FB3-2-101-12E.pdf|y2001-12