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A Monte Carlo Study On The Selection Of Cointegrating Rank Using Information Criteria

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  • Wang, Zijun
  • Bessler, David A.

Abstract

We conduct Monte Carlo simulations to evaluate the use of information criteria (Akaike information criterion AIC and Schwarz information criterion SC ) as an alternative to various probability-based tests for determining cointegrating rank in multivariate analysis. First, information criteria are used to determine cointegrating rank given the lag order in a levels vector autoregression. Second, information criteria are used to determine the lag order and cointegrating rank simultaneously. Results show that AIC has an advantage over trace tests for cointegrated or stationary processes in small samples. AIC does not perform well in large samples. The performance of SC is close to that of the trace test. SC shows better large sample results than AIC and the trace test, even if the series are close to nonstationary series or they contain large negative moving average components. We also find evidence that supports the joint estimation of lag order and cointegrating rank by the SC criterion. We conclude that information criteria can complement traditional parametric tests.We are grateful to Peter C.B. Phillips and an anonymous referee for their comments, which significantly improved the paper.

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Bibliographic Info

Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 21 (2005)
Issue (Month): 03 (June)
Pages: 593-620

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Handle: RePEc:cup:etheor:v:21:y:2005:i:03:p:593-620_05

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Cited by:
  1. Qiaoling Li & Jiazhu Pan & Qiwei Yao, 2009. "On determination of cointegration ranks," LSE Research Online Documents on Economics 24106, London School of Economics and Political Science, LSE Library.
  2. Badi Baltagi & Zijun Wang, 2007. "Testing for Cointegrating Rank Via Model Selection: Evidence From 165 Data Sets," Empirical Economics, Springer, vol. 33(1), pages 41-49, July.
  3. Xu Cheng & P eter C. B. Phillips, 2009. "Semiparametric cointegrating rank selection," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages S83-S104, 01.
  4. Peri, Massimo & Baldi, Lucia, 2010. "Vegetable oil market and biofuel policy: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 32(3), pages 687-693, May.
  5. J. Isaac Miller & Ronald Ratti, 2008. "Crude Oil and Stock Markets: Stability, Instability, and Bubbles," Working Papers 0810, Department of Economics, University of Missouri, revised 20 Jan 2009.
  6. Sok Heng Lay & Makoto Kakinaka & Koji Kotani, 2010. "Exchange Rate Movements in a Dollarized Economy: The Case of Cambodia," Working Papers EMS_2010_18, Research Institute, International University of Japan.
  7. Mjelde, James W. & Bessler, David A., 2009. "Market integration among electricity markets and their major fuel source markets," Energy Economics, Elsevier, vol. 31(3), pages 482-491, May.
  8. Hagerman, Amy D. & Jin, Yanhong H., 2009. "The Buzz In The Pits: Livestock Futures' Response To A Rumor Of Foreign Animal Disease," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49493, Agricultural and Applied Economics Association.
  9. Park, Haesun & Mjelde, James W. & Bessler, David A., 2008. "Price interactions and discovery among natural gas spot markets in North America," Energy Policy, Elsevier, vol. 36(1), pages 290-302, January.
  10. Bessler, David A. & Leatham, David J. & Yang, Juan, 2005. "In Search of the "Bank Lending Channel": Causality Analysis for the Transmission Mechanism of U.S. Monetary Policy," 2005 Annual meeting, July 24-27, Providence, RI 19558, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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