Testing for linear Granger causality from natural/anthropogenic forcings to global temperature anomalies

Theoretical and Applied Climatology

Volumn 110, Issue 1-2, 2012, Pages 281-289

  Attanasio, Alessandro ^a  

^a UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAPPING; CLIMATE FORCING; GLOBAL WARMING; GRANGER CAUSALITY TEST; GREENHOUSE EFFECT; TEMPERATURE ANOMALY;

EID: 84867097510     PISSN: 0177798X     EISSN: 14344483     Source Type: Journal    
DOI: 10.1007/s00704-012-0634-x     Document Type: Article

References (39)

1. Attanasio A, Pasini A, Triacca U (2012) A contribution to attribution of recent global warming by out-of-sample Granger-causality analysis. Atmos Sci Lett 13: 67-72.
2. Attanasio A, Triacca U (2011) Detecting human influence on climate using neural networks based Granger causality. Theor Appl Climatol 103: 103-107.
3. Clark T (2004) Can out-of-sample forecast comparisons help prevent overfitting? J Forecasting 23: 115-139.
4. Chao J, Corradi V, Swanson N (2001) Out-of-sample test for Granger causality. Macroecon Dyn 5: 598-620.
5. Dickey D, Fuller WA (1981) Likelihood ratio statistic for autoregressive time series with a unit root. Econometrica 49: 427-431.
6. Elsner JB (2007) Granger causality and Atlantic hurricanes. Tellus 59: 476-485.
7. Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55: 251-276.
8. Gelper S, Croux C (2007) Multivariate out-of-sample tests for Granger causality. Comput Stat Data An 51: 3319-3329.
9. Giles DEA (1997) Causality between the measured and underground economies in New Zealand. Appl Econ Lett 4: 63-67.
10. Granger CWJ (1969) Investigating causal relations by econometric methods and cross-spectral methods. Econometrica 37: 424-438.
11. Granger CWJ (1981) Some properties of time series data and their use in econometric model specification. J Econometrics 16: 121-130.
12. Granger CWJ (1988) Causality, cointegration, and control. J Econ Dyn 12: 551-559.
13. Hacker RS, Hatemi-J A (2006) Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application. Appl Econ 38: 1489-1500.
14. Haldrup N, Lildholdt P (2002) On the robustness of unit root tests in the presence of double unit roots. J Time Ser Anal 23: 155-171.
15. Hamilton JD (1994) Time series analysis. Princeton University Press, Princeton, NJ.
16. Hatemi-J A, Shukur G (2002) Multivariate-based causality tests of twin deficits in the US. J Appl Stat 29: 817-824.
17. Kaufmann RK, Stern DI (1997) Evidence for human influence on climate from hemispheric temperature relations. Nature 388: 39-44.
18. Kodra E, Chatterjee S, Ganguly AR (2011) Exploring Granger causality between global average observed time series of carbon dioxide and temperature. Theor Appl Climatol 104: 325-335.
19. Inoue A, Kilian L (2004) In-sample or out-of-sample tests of predictability: which one should we use? Economet Rev 23: 371-402.
20. IPCC (2001) Climate change 2001: the scientific basis. Cambridge University Press, Cambridge, UK and New York, NY, USA.
21. Liu H, Rodriguez G (2005) Human activities and global warming: a cointegration analysis. Environ Modell Softw 20: 761-773.
22. Lukasz L (2010) Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems. Manag Glob Transit 8: 167-186.
23. Lutkepohl H, Kratzig M (2004) Applied time series econometrics. Cambridge University Press, Cambridge, UK.
24. Mantalos P (2000) A graphical investigation of the size and power of the Granger-causality tests in integrated-cointegrated VAR systems. Stud Nonlinear Dyn E 4: 17-33.
25. Mavrotas G, Kelly R (2001) Old wine in new bottles: testing causality between savings and growth. Manch Sch 69: 97-105.
26. Mokhov II, Smirnov DA (2008) Diagnostics of a cause-effect relation between solar activity and the Earth's global surface temperature. Izv Atmos Ocean Phys 44: 263-272.
27. Pasini A, Lorè M, Ameli F (2006) Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system. Ecol Model 191: 58-67.
28. Phillips PCB, Ouliaris S (1990) Asymptotic properties of residual based tests for cointegration. Econometrica 58: 165-193.
29. Reichel R, Thejll P, Lassen K (2001) The cause-and-effect relationship of solar cycle length and the Northern Hemisphere air surface temperature. J Geophys Res 106: 635-641.
30. Shukur G, Mantalos P (2000) A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems. J Appl Stat 27: 1021-1031.
31. Sims CA, Stock JH, Watson MW (1990) Inference in linear time series models with some unit roots. Econometrica 58: 113-144.
32. Stern DI, Kaufmann RK (1999) Econometric analysis of global climate change. Environ Modell Softw 14: 597-605.
33. Stock JH, Watson MW (1989) Interpreting the evidence on money-income causality. J Econom 40: 161-81.
34. Sun L, Wang M (1996) Global warming and global dioxide emission: an empirical study. J Environ Manage 46: 327-343.
35. Toda HY, Yamamoto T (1995) Statistical inference in vector autoregression with possibly integrated processes. J Econometrics 66: 225-250.
36. Triacca U (1998) Non-causality: the role of the omitted variables. Econ Lett 60: 317-320.
37. Triacca U (2001) On the use of Granger causality to investigate the human influence on climate. Theor Appl Climatol 69: 137-138.
38. Triacca U (2002) Selection of the relevant information set for predictive relationships analysis between time series. J Forecasting 21: 595-599.
39. Triacca U (2005) Is Granger causality analysis appropriate to investigate the relationship between atmospheric concentration of carbon dioxide and global surface air temperature? Theor Appl Climatol 81: 133-135.