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Simulated Annealing: An Initial Application in Econometrics

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  • Goffe, William L
  • Ferrier, Gary D
  • Rogers, John

Abstract

A new global optimization algorithm simulated.annealing, is tested on a difficult econometric problem. The authors find that simulated annealing performs better than conventional algorithms. Citation Copyright 1992 by Kluwer Academic Publishers.

Suggested Citation

  • Goffe, William L & Ferrier, Gary D & Rogers, John, 1992. "Simulated Annealing: An Initial Application in Econometrics," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(2), pages 133-146, May.
    • Handle: RePEc:kap:csecmg:v:5:y:1992:i:2:p:133-46
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    File URL: http://netec.mcc.ac.uk/CodEc/Fortran/SimAnnealing.f
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    Cited by:

    1. Paolo Postiglione & M. Andreano & Roberto Benedetti, 2013. "Using Constrained Optimization for the Identification of Convergence Clubs," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 151-174, August.
    2. Joseph I. Daniel & Munish Pahwa, 2005. "There and Back Again: Airline Routes, Fares and Passenger Flows in Network Equilibria," Working Papers 05-07, University of Delaware, Department of Economics.
    3. Robert G. King & Alexander Wolman & Michael Dotsey, 2009. "Inflation and Real Activity with Firm Level Productivity Shocks," 2009 Meeting Papers 367, Society for Economic Dynamics.
    4. Gautam Gowrisankaran & Matthew F. Mitchell & Andrea Moro, 2008. "Electoral Design and Voter Welfare from the U.S. Senate: Evidence from a Dynamic Selection Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(1), pages 1-17, January.
    5. Gautam Gowrisankaran & Matthew F. Mitchell & Andrea Moro, 2004. "Why Do Incumbent Senators Win? Evidence from a Dynamic Selection Model," NBER Working Papers 10748, National Bureau of Economic Research, Inc.
    6. Max Jerrell, 2000. "Applications Of Public Global Optimization Software To Difficult Econometric Functions," Computing in Economics and Finance 2000 161, Society for Computational Economics.
    7. Coate, Stephen & Conlin, Michael & Moro, Andrea, 2008. "The performance of pivotal-voter models in small-scale elections: Evidence from Texas liquor referenda," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 582-596, April.
    8. Max E. Jerrell, "undated". "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computing in Economics and Finance 1996 _028, Society for Computational Economics.
    9. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.
    10. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.
    11. M. Bierlaire & M. Thémans & N. Zufferey, 2010. "A Heuristic for Nonlinear Global Optimization," INFORMS Journal on Computing, INFORMS, vol. 22(1), pages 59-70, February.

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