Weak Unit Roots
Abstract
This paper develops the large sample theory for econometric models with time series having roots in proximity of unity. In particular, a special attention is given to the time series with roots outside the n-1-neighborhood of unity, called the weak unit roots. They are the processes with roots approaching to unity as sample size increases, but not too fastly. It is shown that the weak unit root processes yield the standard law of large numbers and central limit theorem-like results, and as a consequence, the usual large sample theory of inference based on normal asymptotics is applicable for models with weak unit root processes. This suggests that we may rely on the conventional statistical theory also for models with roots close to unity, as long as the roots are not too close to unity. In practice, it seems that we may safely use the standard normal theory, unless the roots are very close to one in a metric proportional to the magnitude of sample size. We consider a wide class of models including autoregressions and nonlinear, as well as linear, cointegrated models with weak unit roots.Download Info
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Paper provided by Rice University, Department of Economics in its series Working Papers with number 2003-17.Length:
Date of creation: Aug 2003
Date of revision:
Handle: RePEc:ecl:riceco:2003-17
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- Peter C.B. Phillips & Joon Y. Park, 1998.
"Asymptotics for Nonlinear Transformations of Integrated Time Series,"
Cowles Foundation Discussion Papers
1182, Cowles Foundation for Research in Economics, Yale University.
- Park, Joon Y. & Phillips, Peter C.B., 1999. "Asymptotics For Nonlinear Transformations Of Integrated Time Series," Econometric Theory, Cambridge University Press, vol. 15(03), pages 269-298, June.
- Joon Y. Park & Peter C. B. Phillips, 1999.
"Nonlinear Regressions with Integrated Time Series,"
Working Paper Series
no6, Institute of Economic Research, Seoul National University.
- Park, Joon Y & Phillips, Peter C B, 2001. "Nonlinear Regressions with Integrated Time Series," Econometrica, Econometric Society, vol. 69(1), pages 117-61, January.
- Joon Y. Park & Peter C.B. Phillips, 1998. "Nonlinear Regressions with Integrated Time Series," Cowles Foundation Discussion Papers 1190, Cowles Foundation for Research in Economics, Yale University.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Phillips, Peter C.B. & Magdalinos, Tassos, 2007.
"Limit theory for moderate deviations from a unit root,"
Journal of Econometrics,
Elsevier, vol. 136(1), pages 115-130, January.
- Peter C.B. Phillips & Tassos Magdalinos, 2004. "Limit Theory for Moderate Deviations from a Unit Root," Cowles Foundation Discussion Papers 1471, Cowles Foundation for Research in Economics, Yale University.
- Donald W. K. Andrews & Patrik Guggenberger, 2008.
"Asymptotics for stationary very nearly unit root processes,"
Journal of Time Series Analysis,
Wiley Blackwell, vol. 29(1), pages 203-212, 01.
- Donald W.K. Andrews & Patrik Guggenberger, 2007. "Asymptotics for Stationary Very Nearly Unit Root Processes," Cowles Foundation Discussion Papers 1607, Cowles Foundation for Research in Economics, Yale University.
- Park, Joon, 2003.
"A Bootstrap Theory for Weakly Integrated Processes,"
Working Papers
2003-16, Rice University, Department of Economics.
- Park, Joon Y., 2006. "A bootstrap theory for weakly integrated processes," Journal of Econometrics, Elsevier, vol. 133(2), pages 639-672, August.
- Han, Heejoon & Park, Joon Y., 2006.
"Time series properties of ARCH processes with persistent covariates,"
MPRA Paper
5199, University Library of Munich, Germany.
- Han, Heejoon & Park, Joon Y., 2008. "Time series properties of ARCH processes with persistent covariates," Journal of Econometrics, Elsevier, vol. 146(2), pages 275-292, October.
- Donald W.K. Andrews & Patrik Guggenberger, 2008.
"Asymptotics for LS, GLS, and Feasible GLS Statistics in an AR(1) Model with Conditional Heteroskedaticity,"
Cowles Foundation Discussion Papers
1665R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2010.
- Donald W.K. Andrews & Patrik Guggenberger, 2008. "Asymptotics for LS, GLS, and Feasible GLS Statistics in an AR(1) Model with Conditional Heteroskedaticity," Cowles Foundation Discussion Papers 1665, Cowles Foundation for Research in Economics, Yale University.
- Shibamoto, Masahiko, 2008. "The estimation of monetary policy reaction function in a data-rich environment: The case of Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 497-520, December.
- Donald W.K. Andrews & Patrik Guggenberger, 2007. "Hybrid and Size-Corrected Subsample Methods," Cowles Foundation Discussion Papers 1606, Cowles Foundation for Research in Economics, Yale University.
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