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Solution of perfect foresight saddlepoint problems: a simple method and applications

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  • Brunner, Martin
  • Strulik, Holger

Abstract

The zip-file contains the MATLAB 5.0 Code: ode45ext.m, a modified version of Matlab's ODE45.M R-K-algorithm to allow for backward integration, ramsey.m, the neoclassical growth model, and ramsdot.m, a function file containing the ODE for ramsey.m. ode45mod.m, A further modified version of ODE45.M, which allows to specify accuracy in approximation of the initial value (k0). ramsey2.m, the neoclassical growth model for Ode45mod, and ramsdot2.m, a function file containing the ODE for ramsey2.m. perli.m, the general two-sector growth model according to Benhabib and Perli (1994), and perlipol.m, function file containing the ODE for perli.m.
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Suggested Citation

  • Brunner, Martin & Strulik, Holger, 2002. "Solution of perfect foresight saddlepoint problems: a simple method and applications," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 737-753, May.
  • Handle: RePEc:eee:dyncon:v:26:y:2002:i:5:p:737-753
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    References listed on IDEAS

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    4. Casey B. Mulligan & Xavier Sala-i-Martin, 1991. "A Note on the Time-Elimination Method For Solving Recursive Dynamic Economic Models," NBER Technical Working Papers 0116, National Bureau of Economic Research, Inc.
    5. Lipton, David, et al, 1982. "Multiple Shooting in Rational Expectations Models [The Solution of Linear Difference Models under Rational Expectations]," Econometrica, Econometric Society, vol. 50(5), pages 1329-1333, September.
    6. Mercenier, J. & Michel, P., 1991. "A Criterion For Time Aggregation Intertemporal Dynamic Models," Cahiers de recherche 9108, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
    8. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
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