Despite the abundance of different econometric techniques introduced in the empirical literature on convergence, it is usually assumed that shocks are uncorrelated across countries. This is unlikely for most of the data sets considered and we investigate a possibility so far ignored, namely the annual panel estimator where shocks are allowed to be correlated. Our analysis is restricted to the case of T > N which allows us to estimate by maximum likelihood with an unrestricted variance-covariance matrix of cross-country shocks. We examine by Monte Carlo robustness against certain possible misspecifications, namely measurement error and heterogeneity of the convergence coefficients. Copyright 2003 Blackwell Publishing Ltd and The Victoria University of Manchester.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Durlauf, Steven N. & Quah, Danny T., 1999.
"The new empirics of economic growth,"
Handbook of Macroeconomics,
in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308
Elsevier.
[Downloadable!] (restricted)
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)