Bilateral Relationship between Consumption and GDP in Mexico and the USA: A Comment
This article presents a critical appraisal of three different econometric techniques commonly employed to analyze causal relationships among economic series. Our results indicate that the empirical application of the Granger causality test, the Engle-Granger cointegration test and the Hausman test for causality performed with small samples suffers severe size distortions, and therefore that the results should be taken with caution. Furthermore, we show that these tests produce better results if the series are differentiated. Our results are applied to the series for consumption and GDP in Mexico and the US and suggest that these series are cointegrated in the case of the US only (causality and cointegration are different). We comment upon these results in relation to the conclusions of Guisan (2004), and other related studies, in which several methods are used to analyze the bilateral causality between consumption and GDP in Mexico and the US and where it was found that cointegration and Granger causality tests may fail to detect the true causal relationships.
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Volume (Year): 9 (2009)
Issue (Month): 1 ()
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- Antonio E. Noriega & Daniel Ventosa-Santaulària, 2007.
"Spurious Regression and Trending Variables,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 69(3), pages 439-444, June.
- Antonio E. Noriega & Daniel Ventosa-Santaularia, 2006. "Spurious Regression and Trending Variables," Department of Economics and Finance Working Papers EM200701, Universidad de Guanajuato, Department of Economics and Finance, revised Jan 2007.
- Noriega, Antonio E. & Ventosa-Santaulària, Daniel, 2007. "Spurious Regression and Trending Variables," MPRA Paper 58775, University Library of Munich, Germany.
- Ventosa-Santaulària Daniel & Gómez-Zaldívar Manuel, 2011. "Testing for a Deterministic Trend When There is Evidence of Unit Root," Journal of Time Series Econometrics, De Gruyter, vol. 2(2), pages 1-26, January.
- Manuel Gomez & Daniel Ventosa-Santaularia, 2008. "Testing for a Deterministic Trend when there is Evidence of Unit-Root," Department of Economics and Finance Working Papers EM200801, Universidad de Guanajuato, Department of Economics and Finance, revised Jun 2010.
- Gómez, Manuel & Ventosa-Santaulària, Daniel, 2010. "Testing for a Deterministic Trend when there is Evidence of Unit-Root," MPRA Paper 58780, University Library of Munich, Germany.
- Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
- Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
- Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
- Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
- Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
- Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
- Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "GLSDETREND: RATS procedure to perform local to unity GLS detrending," Statistical Software Components RTS00077, Boston College Department of Economics.
- Tom Doan, "undated". "ERSTEST: RATS procedure to perform Elliott-Rothenberg-Stock unit root tests," Statistical Software Components RTS00066, Boston College Department of Economics.
- Busetti, Fabio & Harvey, Andrew, 2008. "Testing For Trend," Econometric Theory, Cambridge University Press, vol. 24(01), pages 72-87, February.Full references (including those not matched with items on IDEAS)
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