Causal Relations via Econometrics
Abstract
Applied econometric work takes a superficial approach to causality. Understanding economic affairs, making good policy decisions, and progress in the economic discipline depend on our ability to infer causal relations from data. We review the dominant approaches to causality in econometrics, and suggest why they fail to give good results. We feel the problem cannot be solved by traditional tools, and requires some out-of-the-box thinking. Potentially promising approaches to solutions are discussed.Download Info
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Article provided by Econometric Research Association in its journal International Econometric Review.
Volume (Year): 2 (2010)
Issue (Month): 1 (April)
Pages: 36-56
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Related research
Keywords: Causality; Regression; Exogeneity; Hendry Methodology; Natural Experiments;Other versions of this item:
- Zaman, Asad, 2008. "Causal Relations via Econometrics," MPRA Paper 10128, University Library of Munich, Germany.
- C - Mathematical and Quantitative Methods
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
References
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Gnidchenko, Andrey, 2011.
"Моделирование Технологических И Институциональных Эффектов В Макроэкономическом Прогнозировании
[Technologica," MPRA Paper 35484, University Library of Munich, Germany, revised May 2011. - Zahid Asghar, 2011. "A Structural Approach for Testing Causality," Articles of International Econometric Review (IER), Econometric Research Association, vol. 3(2), pages 1-12, September.
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