Growth and Convergence in a Multi-Country Empirical Stochastic Solow Model
The paper considers international per capita output and its growth using a panel of data for 102 countries between 1960-1989. It sets out an explicitly stochastic Solow growth model and shows that this has quite different properties from the standard approach where the output equation is obtained by adding an error term to the linearized solution of a deterministic Solow model. It examines the econometric properties of estimates of beta convergence as traditionally defined in the literature and shows that all these estimates are subject to substantial biases. Empirical estimates clearly reflect the nature and the magnitude of these biases as predicted by econometric theory. Steady state growth rates differ significantly across countries and once this heterogeneity is allowed for, the estimates of beta are substantially higher than the consensus in the literature. But they are very imprecisely estimated and difficult to interpret. The paper also discusses the economic implications of these results for sigma convergence.
|Date of creation:||Dec 1996|
|Date of revision:||Dec 1996|
|Publication status:||Published by The Economic Research Forum (ERF)|
|Contact details of provider:|| Postal: |
Web page: http://www.erf.org.egEmail:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:erg:wpaper:9637. 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: (Namees Nabeel)
If references are entirely missing, you can add them using this form.