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No-decision classification: an alternative to testing for statistical significance

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  • Berg, Nathan

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Article provided by Elsevier in its journal Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics).

Volume (Year): 33 (2004)
Issue (Month): 5 (November)
Pages: 631-650

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Handle: RePEc:eee:soceco:v:33:y:2004:i:5:p:631-650

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Web page: http://www.elsevier.com/locate/inca/620175

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References

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  1. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521586115.
  2. Leslie G. Godfrey & Chris D. Orme, 2000. "Controlling the significance levels of prediction error tests for linear regression models," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 66-83.
  3. Donald W.K. Andrews, 1992. "The Large Sample Correspondence Between Classical Hypothesis Tests and Bayesian Posterior Odds Tests," Cowles Foundation Discussion Papers 1035, Cowles Foundation for Research in Economics, Yale University.
  4. Donald W.K. Andrews, 1994. "Hypothesis Testing with a Restricted Parameter Space," Cowles Foundation Discussion Papers 1060R, Cowles Foundation for Research in Economics, Yale University.
  5. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
  6. N. Coulibaly & B. Wade Brorsen, 1999. "Monte carlo sampling approach to testing nonnested hypothesis: monte carlo results," Econometric Reviews, Taylor & Francis Journals, vol. 18(2), pages 195-209.
  7. Philip A. Shively, 2001. "Trend-stationary GNP: evidence from a new exact pointwise most powerful invariant unit root test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 537-551.
  8. Pesaran, M H, 1974. "On the General Problem of Model Selection," Review of Economic Studies, Wiley Blackwell, vol. 41(2), pages 153-71, April.
  9. Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
  10. Shively, Thomas S., 1988. "An analysis of tests for regression coefficient stability," Journal of Econometrics, Elsevier, vol. 39(3), pages 367-386, November.
  11. Smith, Marlene A & Smyth, David J, 1991. "Multiple and Pairwise Non-nested Tests of the Influence of Taxes on Money Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(1), pages 17-30, Jan.-Marc.
  12. Teräsvirta Timo, 1996. "Power Properties of Linearity Tests for Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(1), pages 1-10, April.
  13. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
  14. Horowitz, Joel L., 2001. "The bootstrap and hypothesis tests in econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 37-40, January.
  15. McCloskey, Donald N, 1985. "The Loss Function Has Been Mislaid: The Rhetoric of Significance Tests," American Economic Review, American Economic Association, vol. 75(2), pages 201-05, May.
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Cited by:
  1. Thomas Mayer, 2012. "Ziliak and McCloskey's Criticisms of Significance Tests: An Assessment," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 256-297, September.
  2. Thomas Mayer, 2012. "Ziliak and McClosky’s Criticisms of Significance Tests: A Damage Assessment," Working Papers 126, University of California, Davis, Department of Economics.

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