A review of literature on applications of Granger causality to problems in international agricultural economics research is summarized. The review relates to cointegration theory, and it identifies the areas where recent econometric developments may be of value. Testing procedures are outlined, and a discussion is provided on questions such as non-stationarity and asymptotic distribution of non-causality tests, the relationship between cointegration and causation, the relative merits of various testing procedures, and concerns about testing bivariate causality in higher dimensional models. Finally, a recent econometric development is discussed and its future use in applied research is discussed.
Publication Source (Journal or Book title)
Zapata, H., & Gil, J. (1999). Cointegration and causality in international agricultural economics research. Agricultural Economics, 1-9. https://doi.org/10.1016/S0169-5150(98)00076-0