Advanced Search
MyIDEAS: Login

Long-run economic growth: modeling exercise for emerging markets

Contents:

Author Info

  • Daniel Toro Gonzalez

    ()

Abstract

This document is intended to show some results about the predictions over the long run economic growth of some emerging markets. Following Lucas (2009) we successfully replicate the estimation about Thailand, South Korea, Indonesia and Hong Kong, and we also use the model to predict the per capita GDP in some Latin American countries like Chile, Colombia and Mexico taking United States as the leading economy. We show that there are significantdifferences in the catch up process between the Asian economies and the Latin American Economies. In Latin America, the convergence process will take more than twice the time needed by the Asian economies to catch up the most advanced economies.

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://ssrn.com/abstract=1413945
Our checks indicate that this address may not be valid because: 503 Service Unavailable. If this is indeed the case, please notify (Roberto Fortich)
Download Restriction: no

Bibliographic Info

Paper provided by UNIVERSIDAD TECNOLÓGICA DE BOLÍVAR in its series DOCUMENTOS DE TRABAJO with number 005573.

as in new window
Length: 5
Date of creation: 03 Jun 2009
Date of revision:
Handle: RePEc:col:000162:005573

Contact details of provider:

Related research

Keywords: Dual economy; agriculture employment; per capita GDP; economic growth;

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:col:000162:005573. 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: (Roberto Fortich).

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.