Abstract
When a particular event is observed, such as an economic variable taking a value in some region of the set of all possible values, it is natural to ask why that event occurred rather than some other. If, just earlier, some other event was observed to occur, it is also natural to ask if the joint observation of the two events indicates a relationship and possibly one that could be called an influence of one event by another, or even a causation. For a unique, or very rare event, such as the start of a world war, it will be very difficult to present more than sensible and suggestive statistical evidence about causation. However, in economics, values for many variables are observed with great regularity, such as daily stock market prices or monthly production figures and so a generating mechanism can be postulated that produces these values and the investigation and understanding of this mechanism is obviously one of the main tasks for the economist. In such studies, ideas such as theories, laws and causation arise very naturally, and economists in their workings use such words very frequently. It is unfortunately true that not all writers give the same meanings to these words. The understanding of causality is not the same for all economists, but this is hardly surprising as statisticians and philosophers are also not in agreement among themselves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Engle, R.F., Hendry, D.F. and Richard, J.F. 1983. Exogeneity. Econometrica 51, 277–304.
Granger, C.W.J. 1980. Tests for causation — a personal viewpoint. Journal of Economic Dynamics and Control 2, 329–52.
Hicks, Sir J. 1979. Causality in Economics. New York: Basic Books.
Nelson, C.R. and Schwert, G.W. 1982. Tests for predictive relationships between time series variables. Journal of the American Statistical Association 77, 11–18.
Pierce, D.A. and Haugh, L.D. 1977. Causality in temporal systems. Journal of Econometrics 5, 265–93.
Simon, H. 1953. Causal ordering and identifiability. Studies in Econometric Method, Cowles Commission Monograph No. 14, ed. W.C. Hood and T.C. Koopmans. New York: John Wiley.
Simon, J.L. 1970. The concept of causality in economics. Kyklos 23, 226–52.
Strotz, R.H. and Wold, H. 1960. Recursive versus nonrecursive systems: an attempt at synthesis. Econometrica 28, April, 417–27.
Wold, H. 1954. Causality and econometrics. Econometrica 22, 162–77.
Zellner, A. 1979. Causality and econometrics, policy and policy making. Carnegie-Rochester Conference Series on Public Policy 10, 9–54.
Editor information
Copyright information
© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited
About this chapter
Cite this chapter
Granger, C.W.J. (1990). Causal Inference. In: Eatwell, J., Milgate, M., Newman, P. (eds) Econometrics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20570-7_5
Download citation
DOI: https://doi.org/10.1007/978-1-349-20570-7_5
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-0-333-49543-8
Online ISBN: 978-1-349-20570-7
eBook Packages: Palgrave Economics & Finance CollectionEconomics and Finance (R0)