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Sir Clive W.J. Granger Memorial Special Issue on Econometrics

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Abstract (2. Language): 
Despite an extraordinary level of debate about the concept of 'causality' and establishing causal links, Granger (1969) [18] proposed an approach based on the arrow of time and the effects of eliminating the history of some variables from the joint distribution of all variables. There was no Granger causality from the eliminated variables if the conditional and marginal dis¬tributions of the remaining variables were the same. In practice, the non-operational nature of his definition was finessed by testing whether dropping a subset of variables from a larger set affected the goodness of fit of models of the remaining variables. This paper notes the drawbacks that arise from such a route to making his concept of causality operational, but also emphasises its pervasive role in econometric modelling of time series.
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REFERENCES

References: 

[9] Cox, D. R. (1992). Causality: Some statistical aspects. Journal of the Royal Statistical Society, A 155, 291-301.
[10] Doll, R. (2001). Proof of causality: Deductions from epidemiological evidence. Fisher memorial lecture, University of Oxford, Oxford.
[11] Doob, J. L. (1953). Stochastic Processes. New York: John Wiley Classics Library.
1990 edition.
[12] Efron, B. (1979). Bootstrap methods: another look at the jackknife. Annals of Statistics 7, 1-26.
[13] Efron, B. and R. J. Tibshirani (1993). An Introduction to the Bootstrap. London: Chapman and Hall.
[14] Engle, R. F. and C. W. J. Granger (1987). Cointegration and error correction: Rep¬resentation, estimation and testing. Econometrica 55, 251-276.
[15] Engle, R. F., D. F. Hendry, and J.-F. Richard (1983). Exogeneity. Econometrica 51,
277-304.
[16] Ericsson, N. R., D. F. Hendry, and G. E. Mizon (1998). Exogeneity, cointegration and economic policy analysis. Journal of Business and Economic Statistics 16, 370-387.
[17] Govaerts, B., D. F. Hendry, and J.-F. Richard (1994). Encompassing in stationary linear dynamic models. Journal of Econometrics 63, 245-270.
[18] Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424-438.
[19] Granger, C. W. J. (1980). Testing for causality - A personal viewpoint. Journal of Economic Dynamics and Control 2, 329-352.
[20] Granger, C. W. J. (1986). Developments in the study of cointegrated economic vari¬ables. Oxford Bulletin of Economics and Statistics 48, 213-228.
[21] Granger, C. W. J. (1988). Some recent development in a concept of causality. Journal of econometrics 39, 199-211.
[22] Harre, R. and E. H. Madden (1975). Causal Powers. Oxford: Blackwell.
[23] Heckman, J. J. (2000). Causal parameters and policy analysis in economics: A twen¬tieth century retrospective. Quarterly Journal ofEconomics 115, 45-97.
[24] Heckman, J. J. (2005). The scientific model of causality. Sociological Methodology 35,
1-98.
[25] Hendry, D. F. (1995). On the interactions of unit roots and exogeneity. Econometric
Reviews 14, 383-419.
REFERENCES 28
[26] Hendry, D. F. (2004). Causality and exogeneity in non-stationary economic time series. In A. Welfe (Ed.), New Directions in Macromodelling, pp. 21-48. Amsterdam: North Holland.
[27] Hendry, D. F. and J. A. Doornik (2014). Empirical Model Discovery and Theory Evaluation. Cambridge, Mass.: MIT Press.
[28] Hendry, D. F. and M. Massmann (2007). Co-breaking: Recent advances and a syn¬opsis of the literature. Journal ofBusiness and Economic Statistics 25, 33-51.
[29] Hendry, D. F. and G. E. Mizon (1999). The pervasiveness of Granger causality in econometrics. In R. F. Engle and H. White (Eds.), Cointegration, Causality and Forecasting: A Festschrift in Honour of Clive W.J. Granger, pp. 102-134. Oxford: Oxford University Press.
[30] Hendry, D. F. and G. E. Mizon (2000). On selecting policy analysis models by forecast accuracy. In A. B. Atkinson, H. Glennerster, and N. Stern (Eds.), Putting Economics to Work: Volume in Honour of Michio Morishima, pp. 71-113. London
School of Economics: STICERD.
[31] Hendry, D. F. and G. E. Mizon (2016). Improving the teaching of econo¬metrics. Cogent Economics and Finance, DOI: 0.1080/23322039.2016.1170096. http://www.tandfonline.com/eprint/7dRymBhRtIQF2xtbvPMC/full.
[32] Hendry, D. F. and J.-F. Richard (1982). On the formulation of empirical models in dynamic econometrics. Journal of Econometrics 20, 3-33.
[33] Hendry, D. F. and C. Santos (2010). An automatic test of super exogeneity. In M. W. Watson, T. Bollerslev, and J. Russell (Eds.), Volatility and Time Series Econometrics, pp. 164-193. Oxford: Oxford University Press.
[34] Hicks, J. R. (1979). Causality in Economics. Oxford: Basil Blackwell.
[35] Hoover, K. D. (2001). Causality in Macroeconomics. Cambridge: Cambridge Univer¬sity Press.
[36] Hume, D. (1758). An Enquiry Concerning Human Understanding, (1927 edn). Chicago: Open Court Publishing Co.
[37] Johansen, S. (1995). Likelihood-based Inference in Cointegrated Vector Autoregressive Models. Oxford: Oxford University Press.
[38] Lauritzen, S. L. and T. S. Richardson (2002). Chain graph models and their causal interpretations. Journal ofthe Royal Statistical Society, B 64, 1-28.
[39] Mackie, J. L. (1980). The Cement ofthe Universe: A Study in Causation. Oxford: Oxford University Press. 2nd edition.
REFERENCES 29
[40] McFadden, D. L. (1989). A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57, 995-1026.
[41] Mizon, G. E. and J.-F. Richard (1986). The encompassing principle and its application to non-nested hypothesis tests. Econometrica 54, 657-678.
[42] Mosconi, R. and C. Giannini (1992). Non-causality in cointegrated systems: Rep¬resentation, estimation and testing. Oxford Bulletin of Economics and Statistics 54,
399-417.
[43] Pakes, A. and D. Pollard (1989). Simulation and the asymptotics of optimization estimation. Econometrica 57, 1027-1058.
[44] Phillips, P. C. B. and M. Loretan (1991). Estimating long-run economic equilibria.
Review of Economic Studies 58, 407-436.
[45] Richard, J.-F. (1980). Models with several regimes and changes in exogeneity. Review ofEconomic Studies 47, 1-20.
[46] Simon, H. A. (1952). On the definition of causal relations. Journal of Philosophy 49,
517-527.
[47] Sims, C. A. (1980). Macroeconomics and reality. Econometrica 48, 1-48. Reprinted in Granger, C. W. J. (ed.) (1990), Modelling Economic Series. Oxford: Clarendon Press.
[48] Smith, A. (1759). Theory of Moral Sentiments. Edinburgh: A. Kincaid & J. Bell.
[49] Smith, A. (1776). An Inquiry into the Nature and Causes ofthe Wealth ofNations. London: W. Strahan & T. Cadell.
[50] Smith, A. (1795). The history of astronomy. In D. Stewart (Ed.), Essays on Philo¬sophical Subjects by Adam Smith, pp. 33-105. Edinburgh: W. Creech. Liberty Classics
edition, by I. S. Ross, 1982.
[51] Zhang, K., J. Zhang, and B. Scholkopf (2015). Distinguishing cause from effect based on exogeneity. http://arxiv.org/abs/1504.05651

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