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Time Series Simulation With Quasi Monte Carlo Methods

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Author Info

  • Li, J.X.
  • Winker, P.

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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Bibliographic 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

Contact details of provider:
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;

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References

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  1. Neil R. Ericsson & Jaime Marquez, 1998. "A framework for economic forecasting," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages C228-C266.
  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.
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Cited by:
  1. Okten, Giray & Eastman, Warren, 2004. "Randomized quasi-Monte Carlo methods in pricing securities," Journal of Economic Dynamics and Control, Elsevier, vol. 28(12), pages 2399-2426, December.
  2. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Society for Computational Economics, vol. 31(1), pages 21-43, February.
  3. Johannes Paha, 2010. "Simulation and Prosecution of a Cartel with Endogenous Cartel Formation," MAGKS Papers on Economics 201007, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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