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Causality Testing With Messy Data: Some Preliminary Experimental Evidence

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  • Gamber, Edward N.
  • Hudson, Michael A.

Abstract

Two tests for bivariate causal ordering. are examined using nonstationary data series with known causal structures. Instantaneous causality is often identified when not present due to the presence of the nonstationary components. Increased degrees of error covariance between the series leads to incorrect conclusions and collinearity problems in the tests.

Suggested Citation

  • Gamber, Edward N. & Hudson, Michael A., 1984. "Causality Testing With Messy Data: Some Preliminary Experimental Evidence," 1984 Annual Meeting, August 5-8, Ithaca, New York 278982, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea84:278982
    DOI: 10.22004/ag.econ.278982
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    References listed on IDEAS

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    1. Guilkey, David K & Salemi, Michael K, 1982. "Small Sample Properties of Three Tests for Granger-Causal Ordering in a Bivariate Stochastic System," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 668-680, November.
    2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    3. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    4. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
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    1. Zapata, Hector O. & Hudson, Michael A. & Garcia, Philip, 1988. "Identifying Causal Relationships Between Nonstationary Stochastic Processes: An Examination Of Alternative Approaches In Small Samples," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-14, December.

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