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Time Series Simulation With Quasi Monte Carlo Methods

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Author Info
Li, J.X.
Winker, P.

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Abstract

This paper compares quasi Monte Carlo methods, in particular so-called (t,m,s)-Nets, with classical Monte Carlo approaches for simulating econometric time-series.

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Publisher Info
Paper provided by Pennsylvania State - Department of Economics in its series Papers with number 9-00-1.

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Length: 27 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:pensta:9-00-1

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Postal: PENNSYLVANIA STATE UNIVERSITY, DEPARTMENT OF ECONOMICS, UNIVERSITY PARK PENNSYLVANIA 16802 U.S.A.
Phone: (814)865-1456
Fax: (814)863-4775
Web page: http://econ.la.psu.edu/
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Related research
Keywords: TIME SERIES ; ECONOMIC MODELS;

Other versions of this item:

Find related papers by JEL classification:
C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Neil R. Ericsson & Jaime Marquez, 1998. "A framework for economic forecasting," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages C228-C266.
    Other versions:
  2. Franz, Wolfgang & Göggelmann, Klaus & Schellhorn, Martin & Winker, Peter, 1998. "Quasi - Monte Carlo Methods in Stochastic Simulations," ZEW Discussion Papers 98-03, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Springer, vol. 31(1), pages 21-43, February. [Downloadable!] (restricted)
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This page was last updated on 2009-10-24.

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