000	00000nam##2200000za#4500
001	9.615728
003	CaOODSP
005	20211126112847
007	ta
008	150406|2001||||xxc|||||     f|0| 0 eng|d
022	|a1192-5434
040	|aCaOODSP|beng
043	|an-cn---
086	1 |aFB3-2/101-12E
110	2 |aBank of Canada.
245	10|aEvaluating linear and non-linear time-varying forecast-combination methods / |cby Fuchun Li and Greg Tkacz.
260	|aOttawa - Ontario : |bBank of Canada |c2001.
300	|av, 15p. : |bfigs., graphs, references ; |c28 cm.
490	1 |aWorking paper|x1192-5434|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.
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	|aRésumés en français
563	|aSoftcover
590	|a01-33|b2001-08-17
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)9.571567
830	#0|aWorking paper,|x1192-5434|v2001-12|w(CaOODSP)9.514622