Advanced Search
MyIDEAS: Login to save this paper or follow this series

Endogenous Growth and Consumption Aggregation

Contents:

Author Info

  • Nicole Tabasso

    (University of Surrey)

Abstract

In this paper general CES consumption preferences are introduced into an endogenous growth model `a la Bernard, Eaton, Jensen, and Kortum (2003) and Eaton and Kortum (2001). This is in contrast to the more generally used assumption of logarithmic preferences. The paper shows that the CES preference structure does not alter the expected profits from engaging in R&D and therefore the growth path. This is proof that the analytically more convenient logarithmic preferences do not sacrifice generality. It is argued that the driving force behind this result is the common assumption of undirected research.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.fahs.surrey.ac.uk/economics/discussion_papers/2012/DP07-12.pdf
Download Restriction: no

Bibliographic Info

Paper provided by School of Economics, University of Surrey in its series School of Economics Discussion Papers with number 0712.

as in new window
Length: 11 pages
Date of creation: May 2012
Date of revision:
Handle: RePEc:sur:surrec:0712

Contact details of provider:
Postal: Guildford, Surrey GU2 5XH
Phone: (01483) 259380
Fax: (01483) 259548
Email:
Web page: http://www.surrey.ac.uk/economics/
More information through EDIRC

Related research

Keywords: CES Preferences; Endogenous Growth; Research;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:sur:surrec:0712. 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: (Alex Mandilaras).

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.