Skip to main content

Advertisement

Log in

Smart Forward Shooting

  • Published:
Computational Economics Aims and scope Submit manuscript

Abstract

In this paper we develop a set of innovative forward-shooting algorithms that solve for the global nonlinear saddle path in models with 1–3 jump variables. Exploiting the fact that the algorithms are mechanical and model-free, we have placed canned, fully automated programs in the public domain. The programs do not require any substantive human input. The user’s only responsibility is to type in the equations of the model correctly.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Ascher U., Matthej R., Russell R. (1988) Numerical solution of boundary value problems for ordinary differential equations. Englewood Cliffs, NJ, Prentice-Hall

    Google Scholar 

  • Atolia, M., & Buffie, E. (2007) Reverse shooting made Easy: Automating the search for the global nonlinear saddle path, Mimeo. Florida State University.

  • Brunner M., Strulik H. (2002) Solution of perfect foresight saddle point problems: a simple method and applications. Journal of Economic Dynamics and Control 26: 737–753

    Article  Google Scholar 

  • Candler G. (1998) Finite-difference methods for continuous-time dynamic programming. In: Marimon R., Scott A.(eds) Computational methods for the study of dynamic economies.. Oxford University Press, New York

    Google Scholar 

  • Herbert R., Stemp P. (2003) Exploiting model structure to solve the dynamics of a macro model. Computational Economics 21: 203–207

    Article  Google Scholar 

  • Judd K. (1999) Numerical methods in economics. MIT Press, Cambridge, MA

    Google Scholar 

  • Judd K. (2002) The parametric path method: An alternative to Fair-Taylor and L-B-J for solving perfect foresight models.. Journal of Economic Dynamics and Control 26: 1557–1583

    Article  Google Scholar 

  • Keller H. (1968) Numerical methods for two-point boundary-value problems. Blaisdell Publishing Company, London

    Google Scholar 

  • Lipton D., Poterba J., Sachs J., Summers L. (1982) Multiple shooting in rational expectations models.. Econometrica 50: 1329–1333

    Article  Google Scholar 

  • McGratten E. (1999) Application of weighted residual methods to dynamic economic models. In: Marimon R., Scott A.(eds) Computational methods for the study of dynamic economies.. Oxford University Press, New York

    Google Scholar 

  • Mercenier J., Michel P. (1994) Discrete-time finite horizon approximation of infinite horizon optimization problems with steady-state invariance. Econometrica 62: 635–656

    Article  Google Scholar 

  • Roberts S., Shipman J. (1972) Two-point boundary value problems: Shooting methods. American Elsevier Publishing Company, New York

    Google Scholar 

  • Sidrauski M. (1967) Rational choice and patterns of growth in a monetary economy. American Economic Review 57: 534–544

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manoj Atolia.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Atolia, M., Buffie, E.F. Smart Forward Shooting. Comput Econ 33, 1–30 (2009). https://doi.org/10.1007/s10614-008-9146-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10614-008-9146-2

Keywords

JEL Classification

Navigation