Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws
AbstractPracticing managers live in a world of â€˜extremesâ€™ but management research is based on Gaussian statistics that rule out those extremes. On occasion, deviation amplifying mutual causal processes among interdependent data points cause extreme events characterized by power laws. They seem ubiquitous; we list 80 kinds of them â€“ half each among natural and social phenomena. We draw a â€˜line in the sandâ€™ between Gaussian (based on independent data points, finite variance and emphasizing averages) and Paretian statistics (based on interdependence, positive feedback, infinite variance, and emphasizing extremes). Quantitative journal publication depends almost entirely on Gaussian statistics. We draw on complexity and earthquake sciences to propose redirecting Management Studies. No statistical findings should be accepted into Management Studies if they gain significance via some assumption-device by which extreme events and infinite variance are ignored. The cost is inaccurate science and irrelevance to practitioners.
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Bibliographic InfoPaper provided by Durham University Business School in its series Working Papers with number 2006_03.
Date of creation: 19 Jun 2006
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Power laws; fractals; Gaussian; Pareto; Mandelbrot; distribution; robustness; interdependence; positive feedback; extremes; complexity; earthquakes; normal science;
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- Tim Bollerslev, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
EERI Research Paper Series
EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Levy, Moshe & Solomon, Sorin, 1997. "New evidence for the power-law distribution of wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 242(1), pages 90-94.
- H.l, 1977. "Introduction," Population (french edition), Institut National d'Études Démographiques (INED), vol. 32(1), pages 129-130.
- Zanette, Damián H & Manrubia, Susanna C, 2001. "Vertical transmission of culture and the distribution of family names," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(1), pages 1-8.
- Abraham Ravid, S., 2004. "Hollywood Economics: How extreme uncertainty shapes the film industry, Arthur De Vany; Routledge, London and New York, 2004, pages xvi + 308, ISBN 0-415-31260-4 (hbk), $135.00, 0-415-31261-2 (pbk), $3," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 895-898, December.
- H.l., 1977. "Introduction," Population (french edition), Institut National d'Études Démographiques (INED), vol. 32(1), pages 297-298.
- Nonaka, Ikujiro & Nishiguchi, Toshihiro, 2001. "Knowledge Emergence: Social, Technical and Evolutionary Dimensions of Knowledge Creation," OUP Catalogue, Oxford University Press, number 9780195130638.
- H. L, 1977. "Introduction," Population (french edition), Institut National d'Études Démographiques (INED), vol. 32(1), pages 33-34.
- Forni, Mario & Lippi, Marco, 1997. "Aggregation and the Microfoundations of Dynamic Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198288008.
- Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
- S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 38(2), pages 345-352, 03.
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