Show simple item record

Solving the stochastic growth model by using quadrature methods and value-function iterations

dc.contributor.author Tauchen, G
dc.date.accessioned 2010-03-09T15:28:05Z
dc.date.issued 1990-01-01
dc.identifier.issn 0735-0015
dc.identifier.uri https://hdl.handle.net/10161/1885
dc.description.abstract This article presents a solution algorithm for the capital growth model. The algorithm uses value- function iterations on a discrete state space. The quadrature method is used to set the grid for the exogenous process, and a simple equispaced scheme in logarithms is used to set the grid for the endogenous capital process. The algorithm can produce a solution to within four-digit accuracy using a state space composed of 1,800 points in total. © 1990 American Statistical Association.
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Informa UK Limited
dc.relation.ispartof Journal of Business and Economic Statistics
dc.relation.isversionof 10.1080/07350015.1990.10509776
dc.title Solving the stochastic growth model by using quadrature methods and value-function iterations
dc.type Journal article
duke.contributor.id Tauchen, G|0114412
pubs.begin-page 49
pubs.end-page 51
pubs.issue 1
pubs.organisational-group Duke
pubs.organisational-group Economics
pubs.organisational-group Trinity College of Arts & Sciences
pubs.publication-status Published
pubs.volume 8
dc.identifier.eissn 1537-2707


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record