On the use of panel unit root tests on cross-sectionally dependent data: an application to PPP
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Martin Berka, 2009.
"Nonlinear Adjustment in Law of One Price Deviations and Physical Characteristics of Goods,"
Review of International Economics, Wiley Blackwell, vol. 17(1), pages 51-73, February.
- Berka, Martin, 2006. "Non-linear adjustment in law of one price deviations and physical characteristics of goods," MPRA Paper 8606, University Library of Munich, Germany, revised Dec 2007.
- Fabio Busetti & Lorenzo Forni & Andrew Harvey & Fabrizio Venditti, 2007.
"Inflation Convergence and Divergence within the European Monetary Union,"
International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 95-121, June.
- Busetti, Fabio & Forni, Lorenzo & Harvey, Andrew & Venditti, Fabrizio, 2006. "Inflation convergence and divergence within the European Monetary Union," Working Paper Series 574, European Central Bank.
- Österholm, Pär, 2004. "Estimating the Relationship between Age Structure and GDP in the OECD Using Panel Cointegration Methods," Working Paper Series 2004:13, Uppsala University, Department of Economics.
- Fabio Busetti & Silvia Fabiani & Andrew Harvey, 2006.
"Convergence of Prices and Rates of Inflation,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 863-877, December.
- Fabio Busetti & Silvia Fabiani & Andrew Harvey, 2006. "Convergences of prices and rates of inflation," Temi di discussione (Economic working papers) 575, Bank of Italy, Economic Research and International Relations Area.
- Sanchirico, James & Newell, Richard & Papps, Kerry, 2005.
"Asset Pricing in Created Markets for Fishing Quotas,"
RFF Working Paper Series
dp-05-46, Resources for the Future.
- Newell, Richard G. & Papps, Kerry L. & Sanchirico, James N., 2005. "Asset Pricing in Created Markets for Fishing Quotas," Discussion Papers 10639, Resources for the Future.
More about this item
Keywords
panel data; nonstationarity; cross-sectional dependence; PPP;All these keywords.
JEL classification:
- F31 - International Economics - - International Finance - - - Foreign Exchange
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2003-11-30 (Econometrics)
- NEP-ETS-2003-11-30 (Econometric Time Series)
- NEP-IFN-2003-11-30 (International Finance)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eui:euiwps:eco2003/24. See general information about how to correct material in RePEc.
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.
We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cécile Brière (email available below). General contact details of provider: https://edirc.repec.org/data/deiueit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.