On Testing Conditional Sigma - Convergence
AbstractIn a cross-section where the initial distribution of observations differs from the steady-state distribution and initial values matter, convergence is best measured in terms of "σ"-convergence over a fixed time period. For this setting, we propose a new simple Wald test for conditional "σ"-convergence. According to our Monte Carlo simulations, this test performs well and its power is comparable with the available tests of unconditional convergence. We apply two versions of the test to conditional convergence in the size of European manufacturing firms. The null hypothesis of no convergence is rejected for all country groups, most single economies, and for younger firms of our sample of 49,646 firms. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2007.
Download InfoIf 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.
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.
Bibliographic InfoArticle provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.
Volume (Year): 71 (2009)
Issue (Month): 4 (08)
Contact details of provider:
Postal: Manor Rd. Building, Oxford, OX1 3UQ
Web page: http://www.blackwellpublishing.com/journal.asp?ref=0305-9049
More information through EDIRC
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Badi H. Baltagi & Peter Egger & Michaela Kesina, 2014. "Sources of Productivity Spillovers: Panel Data Evidence from China," CESifo Working Paper Series 4812, CESifo Group Munich.
- Pfaffermayr, Michael, 2009.
"Conditional [beta]- and [sigma]-convergence in space: A maximum likelihood approach,"
Regional Science and Urban Economics,
Elsevier, vol. 39(1), pages 63-78, January.
- Michael Pfaffermayr, 2007. "Conditional Beta- and Sigma-Convergence in Space: A Maximum Likelihood Approach," Working Papers 2007-17, Faculty of Economics and Statistics, University of Innsbruck.
- Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
- Nicola Pontarollo & Elisa Montresor & Francesco Pecci, 2012. "Sectoral productivity convergence between European regions: does space matter?," ERSA conference papers ersa12p559, European Regional Science Association.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
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.