IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Analytical and Numerical Solution of Finite-horizon Nonlinear Rational Expectations Models

This paper considers the solution of nonlinear rational expectations models resulting from the optimality conditions of a finite-horizon intertemporal optimisation problem satisfying Bellman's principle of optimality (and possibly involving inequality constraints). A backward recursive procedure is used to characterise and solve the time- varying optimal decision rules generally associated with these models. At each stage of these backward recursions, either an analytical or numerical solution of the optimality conditions is required. When an analytical solution is not possible, a minimum weighted residual approach is used. The solution technique is illustrated using a life-cycle model of consumption under labour income and interest rate uncertainties (and possibly involving liquidity constraints). Approximate numerical solutions are provided and compared with certainty-equivalent solutions and, when possible, with exact solutions.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 9808.

in new window

Date of creation: 1998
Date of revision:
Handle: RePEc:cam:camdae:9808
Contact details of provider: Web page:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:cam:camdae:9808. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jake Dyer)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.