Causality between advertising and sales: new evidence from cointegration
AbstractIt is puzzling that previous studies have found causality only in one direction from sales to advertising, but not the reverse. Employing the sequential causality tests of Toda Phillips (1993), the casual relationship between advertising and sales appears to run in both directions. This finding provides evidence that conventional causality tests can be misleading.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 3 (1996)
Issue (Month): 5 ()
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- Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, Blackwell, vol. 20(1), pages 1-9, January.
- Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 20(1), January.
- Judith A. Giles, 2000. "Testing for Two-Step Granger Noncausality in Trivariate VAR Models," Econometrics Working Papers 0008, Department of Economics, University of Victoria.
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