The Choice Between Sets Of Regressors
This paper examines the choice of critical values for testing both non-sequential and nested sequential sets of constraints in the standard linear regression model. Modest increases in (e.g.) t-ratio critical values relative to their one-off values are often sufficient to maintain proper size. A Bayesian decision-theoretic approach, highlighted by the Schwarz (1978) criterion, provides a framework for deriving consistency and asymptotic local power properties of both forms of testing (data mining) algorithms.
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Volume (Year): 20 (2001)
Issue (Month): 2 ()
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References listed on IDEAS
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- Savin, N.E., 1984. "Multiple hypothesis testing," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 14, pages 827-879 Elsevier.
- N. E. Savin, 1980. "The Bonferroni and the Scheffé Multiple Comparison Procedures," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 255-273.